Arunkumar Ganesan
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Genetics top 5%
- Genetic Associations and Epidemiology
Papers in
-
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 1
- Genetics 5
- Genetic Associations and Epidemiology 5
- Co-authors
- Robert M. Bryan (2 shared papers)David J. Durgan (2 shared papers)Bhanu Priya Ganesh (2 shared papers)James W. Nelson (1 shared paper)Nadim J. Ajami (1 shared paper)Joseph F. Petrosino (1 shared paper)Susan F. Venable (1 shared paper)Anjali Chauhan (1 shared paper)
- Journals
- JAMA (5 papers)Nature (4 papers)Nucleic Acids Research (1 paper)Hypertension (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Arunkumar Ganesan
13 papers receiving 1.8k citations
Arunkumar Ganesan's Hit Papers
Peers
Comparison fields: 5 of 88
- Infectious Diseases 851
- Genetics 506
- Neurology 90
- Internal Medicine 18
- Immunology 111
Countries citing papers authored by Arunkumar Ganesan
This map shows the geographic impact of Arunkumar Ganesan'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 Arunkumar Ganesan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arunkumar Ganesan more than expected).
Fields of papers citing papers by Arunkumar Ganesan
This network shows the impact of papers produced by Arunkumar Ganesan. 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 Arunkumar Ganesan. The network helps show where Arunkumar Ganesan may publish in the future.
Co-authors
The 20 scholars most cited alongside Arunkumar Ganesan, 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 | Mapping the human genetic architecture of COVID-19 Hit paper breakdown → | 2021 | 656 |
| 2 | Whole-genome sequencing reveals host factors underlying critical COVID-19 Hit paper breakdown → | 2022 | 233 |
| 3 | 2021 | 166 | |
| 4 | 2018 | 157 | |
| 5 | GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 Hit paper breakdown → | 2023 | 125 |
| 6 | 2022 | 105 | |
| 7 | 2022 | 100 | |
| 8 | 2021 | 72 | |
| 9 | 2023 | 60 | |
| 10 | 2020 | 54 | |
| 11 | 2023 | 46 | |
| 12 | 2023 | 34 | |
| 13 | 2024 | 8 | |
| 14 | 2025 | 0 |
About Arunkumar Ganesan
Arunkumar Ganesan is a scholar working on Infectious Diseases, Genetics, Nutrition and Dietetics, Immunology and Molecular Biology, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Genetic Associations and Epidemiology (5 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Genomics and Chromatin Dynamics (1 paper), Gut microbiota and health (1 paper), Mast cells and histamine (1 paper) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Infectious Diseases (851 citations), Genetics (506 citations), Neurology (90 citations), Internal Medicine (18 citations) and Immunology (111 citations). Arunkumar Ganesan has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Robert M. Bryan, David J. Durgan, Bhanu Priya Ganesh, James W. Nelson, Nadim J. Ajami, Joseph F. Petrosino, Susan F. Venable, Anjali Chauhan, Hilda W. Ahnstedt and John d’Aigle. Their work appears in journals such as JAMA, Nature, Nucleic Acids Research, Hypertension and Journal of Neuroinflammation.
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.