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Co-Authors

This is a "connection" page, showing publications co-authored by Daisy Alapat and Sharmilan Thanendrarajan.

 
Connection Strength
 
 
 
0.922
 
  1. Mathur P, Alapat D, Kumar M, Thanendrarajan S. Metastatic prostate cancer with bone marrow infiltration mimicking multiple myeloma. Clin Case Rep. 2018 02; 6(2):269-273.
    View in: PubMed
    Score: 0.184
  2. Thanendrarajan S, Tian E, Qu P, Mathur P, Schinke C, van Rhee F, Zangari M, Rasche L, Weinhold N, Alapat D, Bellamy W, Ashby C, Mattox S, Epstein J, Yaccoby S, Barlogie B, Hoering A, Bauer M, Walker BA, Davies FE, Morgan GJ. The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma. Haematologica. 2017 09; 102(9):e364-e367.
    View in: PubMed
    Score: 0.177
  3. Susanibar-Adaniya S, Mathur P, Henrich Lobo R, Alapat D, Kumar M, Heuck C, Thanendrarajan S. Nasopharyngeal amyloidoma with osteolytic lesions leading to diagnosis of systemic light-chain amyloidosis. Clin Case Rep. 2017 06; 5(6):812-815.
    View in: PubMed
    Score: 0.175
  4. Mohan M, Gundarlapalli S, Szabo A, Yarlagadda N, Kakadia S, Konda M, Jillella A, Fnu A, Ogunsesan Y, Yarlagadda L, Thalambedu N, Munawar H, Graziutti M, Al Hadidi S, Alapat D, Thanendrarajan S, Zangari M, van Rhee F, Schinke C. Tandem autologous stem cell transplantation in patients with persistent bone marrow minimal residual disease after first transplantation in multiple myeloma. Am J Hematol. 2022 Jun 01; 97(6):E195-E198.
    View in: PubMed
    Score: 0.062
  5. Mohan M, Kendrick S, Szabo A, Yarlagadda N, Atwal D, Pandey Y, Roy A, Parikh R, Lopez J, Thanendrarajan S, Schinke C, Alapat D, Sawyer J, Tian E, Tricot G, van Rhee F, Zangari M. Clinical implications of loss of bone marrow minimal residual disease negativity in multiple myeloma. Blood Adv. 2022 02 08; 6(3):808-817.
    View in: PubMed
    Score: 0.061
  6. Baker D, Bimali M, Carrillo L, Sachedina A, Alapat D, Hoque MS, Kottarathara M, Parikh R, Erra A, Mitma AA, Mathur P, Ogunsesan Y, Yarlagadda L, Gundarlapalli S, Thanendrarajan S, Zangari M, Van Rhee F, Tricot G, Schinke C. Predicting risk of progression in relapsed multiple myeloma using traditional risk models, focal lesion assessment with PET-CT and minimal residual disease status. Haematologica. 2021 12 01; 106(12):3215-3218.
    View in: PubMed
    Score: 0.060
  7. Baker D, Bimali M, Carrillo L, Sachedina A, Alapat D, Hoque MS, Kottarathara M, Parikh R, Erra A, Mitma AA, Mathur P, Ogunsesan Y, Yarlagadda L, Gundarlapalli S, Thanendrarajan S, Zangari M, Van Rhee F, Tricot G, Schinke C. Predicting risk of progression in relapsed multiple myeloma using traditional risk models, focal lesion assessment with PET-CT and minimal residual disease status. Haematologica. 2021 08 12.
    View in: PubMed
    Score: 0.059
  8. Mohan M, Szabo A, Yarlagadda N, Gundarlapalli S, Thanendrarajan S, Kendrick S, Schinke C, Alapat D, Sawyer J, Tian E, Tricot G, van Rhee F, Zangari M. Persistent bone marrow minimal residual disease as a "high-risk" disease feature in multiple myeloma. Am J Hematol. 2021 09 01; 96(9):E341-E344.
    View in: PubMed
    Score: 0.059
  9. Jethava Y, Mitchell A, Zangari M, Waheed S, Schinke C, Thanendrarajan S, Sawyer J, Alapat D, Tian E, Stein C, Khan R, Heuck CJ, Petty N, Avery D, Steward D, Smith R, Bailey C, Epstein J, Yaccoby S, Hoering A, Crowley J, Morgan G, Barlogie B, van Rhee F. Dose-dense and less dose-intense total therapy 5 for gene expression profiling-defined high-risk multiple myeloma. Blood Cancer J. 2016 09 16; 6:e471.
    View in: PubMed
    Score: 0.042
  10. Jethava Y, Mitchell A, Zangari M, Waheed S, Schinke C, Thanendrarajan S, Sawyer J, Alapat D, Tian E, Stein C, Khan R, Heuck CJ, Petty N, Avery D, Steward D, Smith R, Bailey C, Epstein J, Yaccoby S, Hoering A, Crowley J, Morgan G, Barlogie B, van Rhee F. Dose-dense and less dose-intense Total Therapy 5 for gene expression profiling-defined high-risk multiple myeloma. Blood Cancer J. 2016 07 29; 6(7):e453.
    View in: PubMed
    Score: 0.042
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.