Abhimanyu Abhimanyu
- Infectious Diseases top 10%
- Epidemiology
- Immunology
- Pathology and Forensic Medicine
- Molecular Biology
- Co-authors
- Anna K. CoussensMridula BosePankaj JhaJayant Nagesh BanavalikerTomoki NishiguchiAndrew R. DiNardoW. Evan JohnsonDylan Sheerin
- Topics
- Tuberculosis Research and Epidemiology (9 papers)Immune cells in cancer (5 papers)Epigenetics and DNA Methylation (4 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- United StatesIndiaSouth Africa
In The Last Decade
Abhimanyu Abhimanyu
16 papers receiving 272 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 138
- Epidemiology 86
- Immunology 84
- Pathology and Forensic Medicine 50
- Molecular Biology 49
Countries citing papers authored by Abhimanyu Abhimanyu
This map shows the geographic impact of Abhimanyu Abhimanyu'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 Abhimanyu Abhimanyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhimanyu Abhimanyu more than expected).
Fields of papers citing papers by Abhimanyu Abhimanyu
This network shows the impact of papers produced by Abhimanyu Abhimanyu. 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 Abhimanyu Abhimanyu. The network helps show where Abhimanyu Abhimanyu may publish in the future.
Co-authorship network of co-authors of Abhimanyu Abhimanyu
This figure shows the co-authorship network connecting the top 25 collaborators of Abhimanyu Abhimanyu. A scholar is included among the top collaborators of Abhimanyu Abhimanyu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abhimanyu Abhimanyu. Abhimanyu Abhimanyu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 27 | |
| 5 | 20 | |
| 6 | 0 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 78 | |
| 12 | 11 | |
| 13 | 7 | |
| 14 | 8 | |
| 15 | 12 | |
| 16 | Footprints of genetic susceptibility to pulmonary tuberculosis: cytokine gene variants in north Indians. | 19 |
| 17 | 15 | |
| 18 | 35 |
About Abhimanyu Abhimanyu
Abhimanyu Abhimanyu is a scholar working on Infectious Diseases, Immunology and Behavioral Neuroscience, having authored 18 papers that have together received 278 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Immune cells in cancer (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Infectious Diseases (138 citations), Immunology (84 citations) and Pathology and Forensic Medicine (50 citations). Abhimanyu Abhimanyu has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include Anna K. Coussens, Mridula Bose, Pankaj Jha, Jayant Nagesh Banavaliker, Tomoki Nishiguchi, Andrew R. DiNardo, W. Evan Johnson, Dylan Sheerin, A. Jain and Xutao Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.