Amit Verma
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 95
- Chronic Myeloid Leukemia Treatments 17
- Multiple Myeloma Research and Treatments 16
- Hematopoietic Stem Cell Transplantation 15
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 41
- Chronic Lymphocytic Leukemia Research 19
- Cancer Research top 1%
- Oncology top 1%
- Immunology top 2%
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- Epigenetics and DNA Methylation 33
- Histone Deacetylase Inhibitors Research 14
- Co-authors
- Tushar D. BhagatUlrich SteidlYiting YuBritta WillAnirban MaitraJohn M. GreallyKith PradhanLeonidas C. Platanias
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Amit Verma
239 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Hematology 2.7k
- Genetics 1.2k
- Cancer Research 1.1k
- Oncology 1.8k
- Immunology 1.3k
Countries citing papers authored by Amit Verma
This map shows the geographic impact of Amit Verma'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 Amit Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Verma more than expected).
Fields of papers citing papers by Amit Verma
This network shows the impact of papers produced by Amit Verma. 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 Amit Verma. The network helps show where Amit Verma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amit Verma, 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 | 2026 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 24 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 4 | |
| 12 | 2019 | 17 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 59 | |
| 15 | 2018 | 24 | |
| 16 | 2017 | 34 | |
| 17 | 2014 | 55 | |
| 18 | 2013 | 180 | |
| 19 | 2012 | 42 | |
| 20 | 2009 | 95 |
About Amit Verma
Amit Verma is a scholar working on Hematology, Genetics, Immunology, Oncology and Molecular Biology, having authored 265 papers that have together received 8.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (95 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (41 papers), Epigenetics and DNA Methylation (33 papers), Chronic Lymphocytic Leukemia Research (19 papers), Chronic Myeloid Leukemia Treatments (17 papers), Multiple Myeloma Research and Treatments (16 papers), Hematopoietic Stem Cell Transplantation (15 papers) and Histone Deacetylase Inhibitors Research (14 papers). The work is most often cited by research in Hematology (2.7k citations), Genetics (1.2k citations), Cancer Research (1.1k citations), Oncology (1.8k citations) and Immunology (1.3k citations). Amit Verma has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Tushar D. Bhagat, Ulrich Steidl, Yiting Yu, Britta Will, Anirban Maitra, John M. Greally, Kith Pradhan, Leonidas C. Platanias, Dagny Von Ahrens and Bhaskar C. Das. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer Research, Journal of Biological Chemistry and Oncotarget.
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.