Header Logo
Keywords
Last Name
Institution
Announcement

You can now add alternative names! Click here to add other names that you've published under.

Connection

Co-Authors

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

 
Connection Strength
 
 
 
0.202
 
  1. 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 06 01; 97(6):E195-E198.
    View in: PubMed
    Score: 0.052
  2. 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: 0.051
  3. 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: 0.050
  4. 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: 0.049
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.