Amit Maity
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 29
- Oncology top 1%
- CAR-T cell therapy research 17
- Cancer Immunotherapy and Biomarkers 15
- Cancer-related Molecular Pathways 12
- Genetics top 1%
- Glioma Diagnosis and Treatment 11
- Molecular Biology top 2%
- PI3K/AKT/mTOR signaling in cancer 12
- Angiogenesis and VEGF in Cancer 12
- Immunology top 2%
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- Lymphoma Diagnosis and Treatment 24
- Co-authors
- Nabendu PoreRuth J. MuschelGary D. KaoEric J. BernhardGeorge J. CernigliaChanghu ChenZibin JiangAlireza Behrooz
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- International Journal of Radiation Oncology*Biology*Physics (28 papers)Cancer Research (10 papers)Blood (6 papers)
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
Amit Maity
146 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 1.9k
- Oncology 2.7k
- Genetics 734
- Molecular Biology 3.4k
- Immunology 1.0k
Countries citing papers authored by Amit Maity
This map shows the geographic impact of Amit Maity'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 Maity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Maity more than expected).
Fields of papers citing papers by Amit Maity
This network shows the impact of papers produced by Amit Maity. 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 Maity. The network helps show where Amit Maity may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amit Maity, 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 | 7 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 23 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 96 | |
| 15 | 2020 | 16 | |
| 16 | 2015 | 55 | |
| 17 | 2011 | 44 | |
| 18 | 2006 | 218 | |
| 19 | 2006 | 130 | |
| 20 | 1994 | 23 |
About Amit Maity
Amit Maity is a scholar working on Oncology, Cancer Research and Genetics, having authored 153 papers that have together received 7.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (29 papers), Lymphoma Diagnosis and Treatment (24 papers), CAR-T cell therapy research (17 papers), Cancer Immunotherapy and Biomarkers (15 papers), PI3K/AKT/mTOR signaling in cancer (12 papers), Cancer-related Molecular Pathways (12 papers), Angiogenesis and VEGF in Cancer (12 papers) and Glioma Diagnosis and Treatment (11 papers). The work is most often cited by research in Cancer Research (1.9k citations), Oncology (2.7k citations) and Genetics (734 citations). Amit Maity has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Nabendu Pore, Ruth J. Muschel, Gary D. Kao, Eric J. Bernhard, George J. Cerniglia, Changhu Chen, Zibin Jiang, Alireza Behrooz, Faramarz Ismail‐Beigi and W. Gillies McKenna. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cancer Research, Blood, Journal of Biological Chemistry and Cancer.
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.