Swathi Pathadka
Impact in
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- Tuberculosis Research and Epidemiology
- Antifungal resistance and susceptibility
Papers in
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- Pharmaceutical Economics and Policy 4
- Health Systems, Economic Evaluations, Quality of Life 2
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- Tuberculosis Research and Epidemiology 3
- Co-authors
- Esther W. Chan (11 shared papers)Ian Chi Kei Wong (10 shared papers)Mohan K Manu (1 shared paper)Mazhuvancherry Kesavan Unnikrishnan (1 shared paper)Sonal Sekhar Miraj (1 shared paper)Vincent Ka Chun Yan (3 shared papers)Xue Li (6 shared papers)Chin Fen Neoh (1 shared paper)
- Journals
- Diabetes Therapy (2 papers)Value in Health (2 papers)BMJ Open (1 paper)Human Vaccines & Immunotherapeutics (1 paper)Future Oncology (1 paper)
- Partner nations
- Hong KongUnited KingdomChina
In The Last Decade
Swathi Pathadka
16 papers receiving 248 citations
Peers
Comparison fields: 5 of 83
- Infectious Diseases 89
- Applied Microbiology and Biotechnology 8
- Epidemiology 82
- Biological Psychiatry 4
- Economics and Econometrics 37
Countries citing papers authored by Swathi Pathadka
This map shows the geographic impact of Swathi Pathadka'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 Swathi Pathadka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swathi Pathadka more than expected).
Fields of papers citing papers by Swathi Pathadka
This network shows the impact of papers produced by Swathi Pathadka. 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 Swathi Pathadka. The network helps show where Swathi Pathadka may publish in the future.
Co-authors
The 25 scholars most cited alongside Swathi Pathadka, 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 | 2017 | 60 | |
| 2 | 2020 | 54 | |
| 3 | 2022 | 52 | |
| 4 | 2023 | 16 | |
| 5 | 2021 | 15 | |
| 6 | 2020 | 10 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 7 | |
| 10 | 2024 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 0 |
About Swathi Pathadka
Swathi Pathadka is a scholar working on Economics and Econometrics, Infectious Diseases, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 17 papers that have together received 252 indexed citations. Recurring topics across this work include Pharmaceutical Economics and Policy (4 papers), Tuberculosis Research and Epidemiology (3 papers), Diabetes Treatment and Management (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Management and Research (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Innovation and Socioeconomic Development (1 paper). The work is most often cited by research in Infectious Diseases (89 citations), Applied Microbiology and Biotechnology (8 citations), Epidemiology (82 citations), Biological Psychiatry (4 citations) and Economics and Econometrics (37 citations). Swathi Pathadka has collaborated with scholars based in Hong Kong, United Kingdom and China. Frequent co-authors include Esther W. Chan, Ian Chi Kei Wong, Mohan K Manu, Mazhuvancherry Kesavan Unnikrishnan, Sonal Sekhar Miraj, Vincent Ka Chun Yan, Xue Li, Chin Fen Neoh, Benjamin J. Cowling and Ivan Fan‐Ngai Hung. Their work appears in journals such as Diabetes Therapy, Value in Health, BMJ Open, Human Vaccines & Immunotherapeutics and Future Oncology.
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.