John Tazare
Impact in
- Obstetrics and Gynecology top 10%
- COVID-19 Impact on Reproduction
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- Advanced Causal Inference Techniques 3
- Statistical Methods in Clinical Trials 1
-
- Atrial Fibrillation Management and Outcomes 2
- Co-authors
- Pauline Paterson (1 shared paper)Heidi J. Larson (1 shared paper)R Matthew Chico (1 shared paper)Eliz Kilich (1 shared paper)Sara Dada (1 shared paper)Mark R. Francis (1 shared paper)Sebastian Brandner (1 shared paper)Paul Mulholland (1 shared paper)
- Journals
- Pharmacoepidemiology and Drug Safety (5 papers)BMC Medicine (1 paper)Cancers (1 paper)The Journals of Gerontology Series A (1 paper)British Journal of Clinical Pharmacology (1 paper)
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
John Tazare
15 papers receiving 390 citations
John Tazare's Hit Papers
Peers
Comparison fields: 5 of 67
- Obstetrics and Gynecology 67
- Health 74
- Genetics 79
- Statistics and Probability 21
- Microbiology 15
Countries citing papers authored by John Tazare
This map shows the geographic impact of John Tazare'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 John Tazare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tazare more than expected).
Fields of papers citing papers by John Tazare
This network shows the impact of papers produced by John Tazare. 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 John Tazare. The network helps show where John Tazare may publish in the future.
Co-authors
The 25 scholars most cited alongside John Tazare, 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 | 157 | |
| 2 | 2022 | 130 | |
| 3 | Glucagon-like peptide-1 receptor agonists, but not dipeptidyl peptidase-4 inhibitors, reduce alcohol intake Hit paper breakdown → | 2025 | 24 |
| 4 | 2021 | 21 | |
| 5 | 2022 | 16 | |
| 6 | 2020 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About John Tazare
John Tazare is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine, Epidemiology, Economics and Econometrics and Infectious Diseases, having authored 19 papers that have together received 392 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Liver Diseases and Immunity (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Statistical Methods in Clinical Trials (1 paper) and Meta-analysis and systematic reviews (1 paper). The work is most often cited by research in Obstetrics and Gynecology (67 citations), Health (74 citations), Genetics (79 citations), Statistics and Probability (21 citations) and Microbiology (15 citations). John Tazare has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Pauline Paterson, Heidi J. Larson, R Matthew Chico, Eliz Kilich, Sara Dada, Mark R. Francis, Sebastian Brandner, Paul Mulholland, John Gregson and Diego Ottaviani. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, BMC Medicine, Cancers, The Journals of Gerontology Series A and British Journal of Clinical Pharmacology.
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.