Vikas A. Gupta
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
- Hematology 62
- Multiple Myeloma Research and Treatments 57
- Oncology 28
- Peptidase Inhibition and Analysis 9
- CAR-T cell therapy research 8
- Cancer Treatment and Pharmacology 8
- Co-authors
- Lawrence BoiseSagar LonialJonathan L. KaufmanAjay K. NookaBenjamin G. BarwickCraig C. HofmeisterMadhav V. DhodapkarNisha S. Joseph
- Journals
- Blood (31 papers)Journal of Clinical Oncology (7 papers)Cancer (3 papers)Nature Communications (2 papers)Haematologica (2 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Vikas A. Gupta
67 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 73
- Hematology 926
- Oncology 641
- Genetics 189
- Molecular Biology 1.0k
- Neurology 181
Countries citing papers authored by Vikas A. Gupta
This map shows the geographic impact of Vikas A. Gupta'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 Vikas A. Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas A. Gupta more than expected).
Fields of papers citing papers by Vikas A. Gupta
This network shows the impact of papers produced by Vikas A. Gupta. 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 Vikas A. Gupta. The network helps show where Vikas A. Gupta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vikas A. Gupta, 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 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 91 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 132 | |
| 14 | 2020 | 76 | |
| 15 | 2020 | 9 | |
| 16 | 2019 | 108 | |
| 17 | 2019 | 114 | |
| 18 | 2018 | 34 | |
| 19 | 2017 | 1 | |
| 20 | 2016 | 18 |
About Vikas A. Gupta
Vikas A. Gupta is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (57 papers), Protein Degradation and Inhibitors (21 papers), Chronic Lymphocytic Leukemia Research (9 papers), Peptidase Inhibition and Analysis (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (8 papers), Cancer Treatment and Pharmacology (8 papers) and Cell death mechanisms and regulation (8 papers). The work is most often cited by research in Hematology (926 citations), Oncology (641 citations), Genetics (189 citations), Molecular Biology (1.0k citations) and Neurology (181 citations). Vikas A. Gupta has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Lawrence Boise, Sagar Lonial, Jonathan L. Kaufman, Ajay K. Nooka, Benjamin G. Barwick, Craig C. Hofmeister, Madhav V. Dhodapkar, Nisha S. Joseph, Shannon M. Matulis and Paula M. Vertino. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer, Nature Communications and Haematologica.
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.