Durga Kulkarni
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Respiratory viral infections research 5
- Influenza Virus Research Studies 2
-
- Parvovirus B19 Infection Studies 1
- Co-authors
- Harish Nair (11 shared papers)You Li (4 shared papers)Xin Wang (7 shared papers)Harry Campbell (2 shared papers)Alice Harpur (1 shared paper)Madhurima Nundy (3 shared papers)Bradford D. Gessner (1 shared paper)Elizabeth Begier (1 shared paper)
- Journals
- Journal of Global Health (8 papers)The Lancet Healthy Longevity (1 paper)The Lancet Infectious Diseases (1 paper)Infectious Diseases and Therapy (1 paper)EClinicalMedicine (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Durga Kulkarni
17 papers receiving 528 citations
Durga Kulkarni's Hit Papers
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 221
- Infectious Diseases 129
- Epidemiology 195
- Health 46
- Economics and Econometrics 76
Countries citing papers authored by Durga Kulkarni
This map shows the geographic impact of Durga Kulkarni'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 Durga Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Durga Kulkarni more than expected).
Fields of papers citing papers by Durga Kulkarni
This network shows the impact of papers produced by Durga Kulkarni. 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 Durga Kulkarni. The network helps show where Durga Kulkarni may publish in the future.
Co-authors
The 25 scholars most cited alongside Durga Kulkarni, 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 | 2020 | 307 | |
| 2 | Adjusting for Case Under-Ascertainment in Estimating RSV Hospitalisation Burden of Older Adults in High-Income Countries: a Systematic Review and Modelling Study Hit paper breakdown → | 2023 | 87 |
| 3 | 2020 | 31 | |
| 4 | 2020 | 29 | |
| 5 | The global burden of human metapneumovirus-associated acute respiratory infections in older adults: a systematic review and meta-analysis Hit paper breakdown → | 2025 | 26 |
| 6 | 2022 | 14 | |
| 7 | 2021 | 11 | |
| 8 | 2022 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 |
About Durga Kulkarni
Durga Kulkarni is a scholar working on Epidemiology, Infectious Diseases, Health, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 540 indexed citations. Recurring topics across this work include Respiratory viral infections research (5 papers), Vaccine Coverage and Hesitancy (2 papers), Travel-related health issues (2 papers), Influenza Virus Research Studies (2 papers), Wound Healing and Treatments (1 paper), COVID-19 epidemiological studies (1 paper), Balance, Gait, and Falls Prevention (1 paper) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Modeling and Simulation (221 citations), Infectious Diseases (129 citations), Epidemiology (195 citations), Health (46 citations) and Economics and Econometrics (76 citations). Durga Kulkarni has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Harish Nair, You Li, Xin Wang, Harry Campbell, Alice Harpur, Madhurima Nundy, Bradford D. Gessner, Elizabeth Begier, John Paget and Marshall Dozier. Their work appears in journals such as Journal of Global Health, The Lancet Healthy Longevity, The Lancet Infectious Diseases, Infectious Diseases and Therapy and EClinicalMedicine.
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.