Pushkala Jayaraman
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Genomics and Phylogenetic Studies 4
- Bioinformatics and Genomic Networks 3
- Molecular Biology Techniques and Applications 2
- RNA and protein synthesis mechanisms 2
- Biomedical Text Mining and Ontologies 2
- Co-authors
- Jon Whittle (1 shared paper)Girish N. Nadkarni (7 shared papers)Victoria Petri (3 shared papers)Mary Shimoyama (3 shared papers)Melinda R. Dwinell (3 shared papers)Marek Tutaj (3 shared papers)Jeff De Pons (3 shared papers)G. Thomas Hayman (3 shared papers)
- Journals
- Bioinformatics (3 papers)npj Digital Medicine (2 papers)Artificial Intelligence in Medicine (1 paper)Nature Medicine (1 paper)Annals of Internal Medicine (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Pushkala Jayaraman
20 papers receiving 309 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 22
- Software 16
- Sensory Systems 18
- Otorhinolaryngology 13
- Endocrinology 13
Countries citing papers authored by Pushkala Jayaraman
This map shows the geographic impact of Pushkala Jayaraman'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 Pushkala Jayaraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pushkala Jayaraman more than expected).
Fields of papers citing papers by Pushkala Jayaraman
This network shows the impact of papers produced by Pushkala Jayaraman. 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 Pushkala Jayaraman. The network helps show where Pushkala Jayaraman may publish in the future.
Co-authors
The 25 scholars most cited alongside Pushkala Jayaraman, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 65 | |
| 2 | 2010 | 57 | |
| 3 | 2006 | 29 | |
| 4 | 2018 | 27 | |
| 5 | 2024 | 24 | |
| 6 | 2023 | 23 | |
| 7 | 2021 | 20 | |
| 8 | 2013 | 19 | |
| 9 | 2019 | 10 | |
| 10 | 2013 | 9 | |
| 11 | 2011 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 1980 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2014 | 4 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Pushkala Jayaraman
Pushkala Jayaraman is a scholar working on Molecular Biology, Epidemiology, Nephrology, Health Informatics and Genetics, having authored 22 papers that have together received 322 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Bioinformatics and Genomic Networks (3 papers), Molecular Biology Techniques and Applications (2 papers), RNA and protein synthesis mechanisms (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Health Informatics (22 citations), Software (16 citations), Sensory Systems (18 citations), Otorhinolaryngology (13 citations) and Endocrinology (13 citations). Pushkala Jayaraman has collaborated with scholars based in United States, India and France. Frequent co-authors include Jon Whittle, Girish N. Nadkarni, Victoria Petri, Mary Shimoyama, Melinda R. Dwinell, Marek Tutaj, Jeff De Pons, G. Thomas Hayman, Jennifer R. Smith and T. F. Lowry. Their work appears in journals such as Bioinformatics, npj Digital Medicine, Artificial Intelligence in Medicine, Nature Medicine and Annals of Internal Medicine.
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.