Manali Kamdar

6.6k total citations · 2 hit papers
90 papers, 1.4k citations indexed

About

Manali Kamdar is a scholar working on Oncology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Manali Kamdar has authored 90 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Oncology, 53 papers in Pathology and Forensic Medicine and 26 papers in Genetics. Recurrent topics in Manali Kamdar's work include Lymphoma Diagnosis and Treatment (53 papers), CAR-T cell therapy research (43 papers) and Chronic Lymphocytic Leukemia Research (25 papers). Manali Kamdar is often cited by papers focused on Lymphoma Diagnosis and Treatment (53 papers), CAR-T cell therapy research (43 papers) and Chronic Lymphocytic Leukemia Research (25 papers). Manali Kamdar collaborates with scholars based in United States, Switzerland and Canada. Manali Kamdar's co-authors include Tae Min Kim, Won Seog Kim, Alex F. Herrera, Laurie H. Sehn, Matthew J. Matasar, Christopher R. Flowers, Ji Cheng, Muhıt Özcan, Andrew McMillan and Grace Ku and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Manali Kamdar

73 papers receiving 1.3k citations

Hit Papers

Polatuzumab Vedotin in Relapsed or Refractory Diffuse Lar... 2019 2026 2021 2023 2019 2022 100 200 300 400

Peers

Manali Kamdar
Amitkumar Mehta United States
Jeff Wiezorek United States
Matthew Ku Australia
Connie Lee Batlevi United States
David Belada Czechia
Anne Beaven United States
Juan Pablo Alderuccio United States
Amitkumar Mehta United States
Manali Kamdar
Citations per year, relative to Manali Kamdar Manali Kamdar (= 1×) peers Amitkumar Mehta

Countries citing papers authored by Manali Kamdar

Since Specialization
Citations

This map shows the geographic impact of Manali Kamdar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Manali Kamdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manali Kamdar more than expected).

Fields of papers citing papers by Manali Kamdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manali Kamdar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Manali Kamdar. The network helps show where Manali Kamdar may publish in the future.

Co-authorship network of co-authors of Manali Kamdar

This figure shows the co-authorship network connecting the top 25 collaborators of Manali Kamdar. A scholar is included among the top collaborators of Manali Kamdar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manali Kamdar. Manali Kamdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kamdar, Manali, Sairah Ahmed, Jeremy S. Abramson, et al.. (2025). CT-305: Optimizing Post-Chimeric Antigen Receptor (CAR) T-Cell Monitoring: Evidence Across Lisocabtagene Maraleucel (liso-cel) Pivotal Clinical Trials and Real-World Experience. Clinical Lymphoma Myeloma & Leukemia. 25. S1010–S1011.
2.
Hunter, Bradley D., Matthew A. Lunning, Sairah Ahmed, et al.. (2025). CRS or ICANS Are Rare Beyond 2 Weeks After Lisocabtagene Maraleucel Infusion: Data From Clinical Trials and the Real-World Setting. Transplantation and Cellular Therapy. 32(2). 171.e1–171.e12. 1 indexed citations
3.
Strati, Paolo, Januario E. Castro, Aaron M. Goodman, et al.. (2025). Off-the-shelf induced pluripotent stem-cell-derived natural killer-cell therapy in relapsed or refractory B-cell lymphoma: a multicentre, open-label, phase 1 study. The Lancet Haematology. 12(7). e505–e515. 2 indexed citations
4.
Desai, Pinkal, Sagar Lonial, Amanda F. Cashen, et al.. (2024). A Phase 1 First-in-Human Study of the MCL-1 Inhibitor AZD5991 in Patients with Relapsed/Refractory Hematologic Malignancies. Clinical Cancer Research. 30(21). 4844–4855. 15 indexed citations
5.
Assouline, Sarit, Lihua E. Budde, Julio C. Chávez, et al.. (2024). Mosunetuzumab with polatuzumab vedotin: Subgroup analyses in patients (pts) with primary refractory or early relapsed large B-cell lymphoma (LBCL).. Journal of Clinical Oncology. 42(16_suppl). 7021–7021.
6.
Assouline, Sarit, Lihua E. Budde, Julio C. Chávez, et al.. (2024). Mosunetuzumab With Polatuzumab Vedotin: Subgroup Analyses in Patients (pts) With Primary Refractory or Early Relapsed Large B-Cell Lymphoma (LBCL). Clinical Lymphoma Myeloma & Leukemia. 24. S212–S212. 1 indexed citations
7.
Abramson, Jeremy S., Scott R. Solomon, Jon Arnason, et al.. (2024). Plain language summary of the TRANSFORM study primary analysis results: liso-cell as a second treatment regimen for large B-cell lymphoma following failure of the first treatment regimen. Future Oncology. 20(21). 1455–1465. 1 indexed citations
11.
Haverkos, Bradley M., Jasmine M. Zain, Manali Kamdar, et al.. (2023). Frontline chemoimmunotherapy with nivolumab and dose-adjusted EPOCH in peripheral T-cell lymphoma: a phase 1 trial. Blood Advances. 8(3). 708–711. 2 indexed citations
15.
Amaya, Maria L., Antonio Jimeno, & Manali Kamdar. (2020). Polatuzumab vedotin to treat relapsed or refractory diffuse largeB-cell lymphoma, in combination with bendamustine plus rituximab. Drugs of today. 56(4). 287–287. 4 indexed citations
16.
Kamdar, Manali, Hongli Li, Robert W. Chen, et al.. (2019). Five-year outcomes of the S1106 study of R-hyper-CVAD vs R-bendamustine in transplant-eligible patients with mantle cell lymphoma. Blood Advances. 3(20). 3132–3135. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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