Ajit Roy
Impact in
- Physiology top 10%
- Calcium signaling and nucleotide metabolism
-
- Carcinogens and Genotoxicity Assessment
Papers in
-
- Autophagy in Disease and Therapy 5
- Co-authors
- Akash Ranjan (6 shared papers)Michael Novák (3 shared papers)Karam El‐Bayoumy (9 shared papers)Debasish Kumar Ghosh (4 shared papers)Stephen S. Hecht (5 shared papers)Melvin Depamphilis (4 shared papers)Alex Vassilev (1 shared paper)Amra Sarić (1 shared paper)
- Journals
- Carcinogenesis (5 papers)The Journal of Organic Chemistry (2 papers)Biochemistry (2 papers)Autophagy (2 papers)The Protein Journal (1 paper)
- Partner nations
- United StatesIndiaHungary
In The Last Decade
Ajit Roy
27 papers receiving 380 citations
Peers
Comparison fields: 5 of 74
- Physiology 29
- Cancer Research 69
- Physical and Theoretical Chemistry 43
- Health, Toxicology and Mutagenesis 62
- Pharmaceutical Science 27
Countries citing papers authored by Ajit Roy
This map shows the geographic impact of Ajit Roy'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 Ajit Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Roy more than expected).
Fields of papers citing papers by Ajit Roy
This network shows the impact of papers produced by Ajit Roy. 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 Ajit Roy. The network helps show where Ajit Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajit Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 1984 | 42 | |
| 3 | 1989 | 30 | |
| 4 | 2018 | 29 | |
| 5 | 1985 | 28 | |
| 6 | 2018 | 20 | |
| 7 | 2018 | 18 | |
| 8 | 1991 | 16 | |
| 9 | 1994 | 16 | |
| 10 | 2016 | 14 | |
| 11 | 1991 | 12 | |
| 12 | 1985 | 11 | |
| 13 | 2016 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2023 | 8 | |
| 16 | Metabolism and DNA binding of 2-nitropyrene in the rat. | 1992 | 8 |
| 17 | 2024 | 7 | |
| 18 | 1986 | 7 | |
| 19 | Biomonitoring of nitropolynuclear aromatic hydrocarbons via protein and DNA adducts. | 1994 | 6 |
| 20 | 2024 | 5 |
About Ajit Roy
Ajit Roy is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Organic Chemistry and Health, Toxicology and Mutagenesis, having authored 28 papers that have together received 398 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Carcinogens and Genotoxicity Assessment (4 papers), Chemical Reaction Mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers), Chemical Analysis and Environmental Impact (2 papers), Cellular transport and secretion (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Physiology (29 citations), Cancer Research (69 citations), Physical and Theoretical Chemistry (43 citations), Health, Toxicology and Mutagenesis (62 citations) and Pharmaceutical Science (27 citations). Ajit Roy has collaborated with scholars based in United States, India and Hungary. Frequent co-authors include Akash Ranjan, Michael Novák, Karam El‐Bayoumy, Debasish Kumar Ghosh, Stephen S. Hecht, Melvin Depamphilis, Alex Vassilev, Amra Sarić, Juan Marugán and Gaurav Sharma. Their work appears in journals such as Carcinogenesis, The Journal of Organic Chemistry, Biochemistry, Autophagy and The Protein 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.