Sagar Lonial
Impact in
- Hematology top 0.01%
- Multiple Myeloma Research and Treatments
- Oncology top 0.1%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
- CAR-T cell therapy research
Papers in
- Hematology 581
- Multiple Myeloma Research and Treatments 551
- Oncology 314
- Peptidase Inhibition and Analysis 132
- Cancer Treatment and Pharmacology 108
- Co-authors
- Jonathan L. KaufmanPaul G. RichardsonAjay K. NookaLawrence BoiseSundar JagannathKenneth C. AndersonFadlo R. KhuriAsher Chanan‐Khan
- Journals
- Blood (256 papers)Journal of Clinical Oncology (108 papers)Cancer (17 papers)Leukemia (13 papers)Blood Cancer Journal (13 papers)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Sagar Lonial
666 papers receiving 18.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Hematology 11.9k
- Oncology 8.8k
- Genetics 2.0k
- Molecular Biology 12.3k
- Immunology 2.0k
Countries citing papers authored by Sagar Lonial
This map shows the geographic impact of Sagar Lonial'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 Sagar Lonial with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sagar Lonial more than expected).
Fields of papers citing papers by Sagar Lonial
This network shows the impact of papers produced by Sagar Lonial. 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 Sagar Lonial. The network helps show where Sagar Lonial may publish in the future.
Co-authors
The 25 scholars most cited alongside Sagar Lonial, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 65 | |
| 5 | Monitoring, prophylaxis, and treatment of infections in patients with MM receiving bispecific antibody therapy: consensus recommendations from an expert panel Hit paper breakdown → | 2023 | 77 |
| 6 | 2021 | 10 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 48 | |
| 11 | 2020 | 132 | |
| 12 | 2020 | 12 | |
| 13 | 2015 | 162 | |
| 14 | 2013 | 166 | |
| 15 | 2011 | 188 | |
| 16 | 2011 | 35 | |
| 17 | 2009 | 129 | |
| 18 | Clinical uses of GM-CSF, a critical appraisal and update | 2008 | 5 |
| 19 | 2007 | 141 | |
| 20 | 2007 | 79 |
About Sagar Lonial
Sagar Lonial is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 691 papers that have together received 18.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (551 papers), Protein Degradation and Inhibitors (273 papers), Peptidase Inhibition and Analysis (132 papers), Cancer Treatment and Pharmacology (108 papers), Chronic Lymphocytic Leukemia Research (82 papers), Ubiquitin and proteasome pathways (76 papers), Histone Deacetylase Inhibitors Research (58 papers) and Monoclonal and Polyclonal Antibodies Research (42 papers). The work is most often cited by research in Hematology (11.9k citations), Oncology (8.8k citations), Genetics (2.0k citations), Molecular Biology (12.3k citations) and Immunology (2.0k citations). Sagar Lonial has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Jonathan L. Kaufman, Paul G. Richardson, Ajay K. Nooka, Lawrence Boise, Sundar Jagannath, Kenneth C. Anderson, Fadlo R. Khuri, Asher Chanan‐Khan, Edmund K. Waller and Edward A. Stadtmauer. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer, Leukemia and Blood Cancer Journal.
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.