Ajai Chari

13.8k total citations · 4 hit papers
217 papers, 4.7k citations indexed

About

Ajai Chari is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Ajai Chari has authored 217 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 201 papers in Hematology, 109 papers in Molecular Biology and 94 papers in Oncology. Recurrent topics in Ajai Chari's work include Multiple Myeloma Research and Treatments (201 papers), Protein Degradation and Inhibitors (82 papers) and Peptidase Inhibition and Analysis (38 papers). Ajai Chari is often cited by papers focused on Multiple Myeloma Research and Treatments (201 papers), Protein Degradation and Inhibitors (82 papers) and Peptidase Inhibition and Analysis (38 papers). Ajai Chari collaborates with scholars based in United States, Spain and Netherlands. Ajai Chari's co-authors include Sundar Jagannath, Saad Z. Usmani, Hearn Jay Cho, Sagar Lonial, Khalid Mezzi, Nina Shah, Emma Scott, Amrita Krishnan, Samir Parekh and María‐Victoria Mateos and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ajai Chari

205 papers receiving 4.6k citations

Hit Papers

Talquetamab, a T-Cell–Redirecting... 2016 2026 2019 2022 2022 2020 2016 2024 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ajai Chari United States 32 3.4k 2.7k 2.6k 677 584 217 4.7k
Katja Weisel Germany 33 4.3k 1.3× 3.2k 1.2× 3.0k 1.2× 683 1.0× 634 1.1× 335 5.7k
Jeffrey A. Zonder United States 35 2.7k 0.8× 2.9k 1.1× 1.9k 0.7× 390 0.6× 330 0.6× 194 4.6k
Tahamtan Ahmadi United States 27 3.1k 0.9× 2.1k 0.8× 2.6k 1.0× 703 1.0× 938 1.6× 92 4.6k
Helgi van de Velde United States 36 3.0k 0.9× 2.8k 1.1× 3.3k 1.3× 210 0.3× 357 0.6× 166 5.4k
Ivan Špıčka Czechia 24 3.1k 0.9× 2.4k 0.9× 2.1k 0.8× 200 0.3× 249 0.4× 141 3.7k
Thomas Pabst Switzerland 30 2.5k 0.7× 1.6k 0.6× 1.2k 0.5× 219 0.3× 376 0.6× 180 4.3k
Alexander E. Perl United States 37 3.9k 1.2× 3.2k 1.2× 942 0.4× 137 0.2× 488 0.8× 200 6.3k
Jeffrey E. Lancet United States 48 5.3k 1.5× 3.5k 1.3× 1.8k 0.7× 126 0.2× 625 1.1× 437 7.8k
B. Douglas Smith United States 43 4.2k 1.2× 2.8k 1.1× 1.3k 0.5× 103 0.2× 829 1.4× 171 6.3k
Tibor Kovacsovics United States 29 2.3k 0.7× 1.4k 0.5× 880 0.3× 123 0.2× 433 0.7× 123 3.7k

Countries citing papers authored by Ajai Chari

Since Specialization
Citations

This map shows the geographic impact of Ajai Chari'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 Ajai Chari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajai Chari more than expected).

Fields of papers citing papers by Ajai Chari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ajai Chari. 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 Ajai Chari. The network helps show where Ajai Chari may publish in the future.

Co-authorship network of co-authors of Ajai Chari

This figure shows the co-authorship network connecting the top 25 collaborators of Ajai Chari. A scholar is included among the top collaborators of Ajai Chari 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 Ajai Chari. Ajai Chari 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.
Reyes, Kevin, Yen‐Chun Liu, Chiung‐Yu Huang, et al.. (2024). Salvage therapies including retreatment with BCMA-directed approaches after BCMA CAR-T relapses for multiple myeloma. Blood Advances. 8(9). 2207–2216. 15 indexed citations
2.
Nooka, Ajay K., Jonathan L. Kaufman, César A. Rodríguez, et al.. (2024). Post hoc analysis of daratumumab plus lenalidomide, bortezomib and dexamethasone in Black patients from final data of the GRIFFIN study. British Journal of Haematology. 204(6). 2227–2232.
3.
Landgren, Ola, Ajai Chari, Yaël C. Cohen, et al.. (2024). Efficacy and safety of daratumumab in intermediate/high-risk smoldering multiple myeloma: final analysis of CENTAURUS. Blood. 145(15). 1658–1669. 1 indexed citations
4.
Usmani, Saad Z., Lionel Karlin, Lotfi Benboubker, et al.. (2023). MM-162 Durability of Responses With Biweekly Dosing of Teclistamab in Patients With Relapsed/Refractory Multiple Myeloma Achieving a Clinical Response in the MajesTEC-1 Study. Clinical Lymphoma Myeloma & Leukemia. 23. S477–S477. 2 indexed citations
6.
Lancman, Guido, Lisa Avery, Hearn Jay Cho, et al.. (2023). IVIg Use Associated with Ten-Fold Reduction of Serious Infections in Multiple Myeloma Patients Treated with Anti-BCMA Bispecific Antibodies. Blood Cancer Discovery. 4(6). 440–451. 56 indexed citations
7.
Auclair, Daniel, Carol Mansfield, Mark A. Fiala, et al.. (2022). Preferences and Priorities for Relapsed Multiple Myeloma Treatments Among Patients and Caregivers in the United States. SHILAP Revista de lepidopterología. 9 indexed citations
8.
Restrepo, Paula, Sherry Bhalla, Yogita Ghodke‐Puranik, et al.. (2022). A Three-Gene Signature Predicts Response to Selinexor in Multiple Myeloma. JCO Precision Oncology. 6(6). e2200147–e2200147. 14 indexed citations
9.
Lancman, Guido, Samantha E. Jacobs, John T. Doucette, et al.. (2021). Efficacy of Intravenous Immunoglobulin for Preventing Infections in Patients with Multiple Myeloma. Clinical Lymphoma Myeloma & Leukemia. 21(5). e470–e476. 18 indexed citations
10.
Restrepo, Paula, Sherry Bhalla, Adolfo Aleman, et al.. (2021). Transcriptomic Correlates of Response to Selinexor in Multiple Myeloma Reveal a Predictive Signature. Blood. 138(Supplement 1). 457–457. 1 indexed citations
11.
Leng, Siyang, Erin Moshier, Douglas Tremblay, et al.. (2020). Timing of Autologous Stem Cell Transplantation for Multiple Myeloma in the Era of Current Therapies. Clinical Lymphoma Myeloma & Leukemia. 20(10). e734–e751. 2 indexed citations
12.
Perumal, Deepak, Naoko Imai, Alessandro Laganà, et al.. (2019). Mutation-derived Neoantigen-specific T-cell Responses in Multiple Myeloma. Clinical Cancer Research. 26(2). 450–464. 59 indexed citations
13.
Laganà, Alessandro, Violetta V. Leshchenko, Marsha Crochiere, et al.. (2018). E2F1 Is a Biomarker of Selinexor Resistance in Relapsed/Refractory Multiple Myeloma Patients. Blood. 132(Supplement 1). 3216–3216. 8 indexed citations
15.
Lonial, Sagar, Jesús F. San Miguel, Joaquín Martínez‐López, et al.. (2017). Daratumumab in Combination with Carfilzomib and Dexamethasone in Patients (pts) with Relapsed Multiple Myeloma (MMY1001): An Open-Label, Phase 1b Study. Blood. 130. 1869–1869. 9 indexed citations
19.
Auclair, Daniel, Carol Mansfield, Ajai Chari, et al.. (2017). Understanding the Preferences of Patients and Caregivers for Relapsed/Refractory Multiple Myeloma Treatment: A Mixed-Mode Patient-Centric Approach. Blood. 130. 5662–5662. 2 indexed citations
20.
Perumal, Deepak, Violetta V. Leshchenko, Zewei Jiang, et al.. (2016). Dual Targeting of CDK4 and ARK5 Using a Novel Kinase Inhibitor ON123300 Exerts Potent Anticancer Activity against Multiple Myeloma. Cancer Research. 76(5). 1225–1236. 27 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026