John Tazare

3.2k citations
18 papers · 345 indexed · 1 hit paper · h-index 7

Impact in

Papers in

John Tazare

14 papers receiving 342 citations

Hit Papers

Glucagon-like peptide-1 receptor agonists, but not dipeptidyl peptidase-4 inhibitors, reduce alcohol intake 2025 · 17 citations
172025202651015

Peers

John Tazare
Comparison fields: 5 of 68
  • Health 129
  • Obstetrics and Gynecology 84
  • Genetics 75
  • Statistics and Probability 25
  • Microbiology 17
Replace Adam Lee with:
Adam Lee United States
Kazimierz Wardyn Poland
T.G. Hopkins United Kingdom
Tomomi Egawa‐Takata Japan
Maram Abdaljaleel Jordan
Laureen Ribassin-Majed France
Michael Schatz Switzerland
Maria Fernanda Brandão de Resende Guimarães Brazil
Peter J. Godolphin United Kingdom
L. Lévy-Bachelot France
John Tazare relative to Adam Lee United States Adam Lee's profile →
Citations per field
00.5×5.8×
Adam Lee · 1×
Citations per year

Countries citing papers authored by John Tazare

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with John Tazare Line = papers co-authored together John Tazare links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Glucagon-like peptide-1 receptor agonists, but not dipeptidyl peptidase-4 inhibitors, reduce alcohol intake
Hit paper breakdown →
202517
2 20240
3 20242
4 20240
5 20240
6 20244
7 20245
8 20241
9 20240
10 20242
11 20238
12 20232
13 20233
14 2022112
15 202216
16 202120
17 2020144
18 20209

About John Tazare

John Tazare is a scholar working on Statistics and Probability, Family Practice, Health, Information Systems and Management and Statistics, Probability and Uncertainty, having authored 18 papers that have together received 345 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Advanced Causal Inference Techniques (5 papers), Healthcare Policy and Management (4 papers), Meta-analysis and systematic reviews (2 papers), Data Quality and Management (2 papers), Statistical Methods in Clinical Trials (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). The work is most often cited by research in Health (129 citations), Obstetrics and Gynecology (84 citations), Genetics (75 citations), Statistics and Probability (25 citations) and Microbiology (17 citations). John Tazare has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Eliz Kilich, Heidi J. Larson, R Matthew Chico, Mark R. Francis, Pauline Paterson, Sara Dada, Sebastian Brandner, Diego Ottaviani, Neil Kitchen and Naomi Fersht. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, The Journals of Gerontology Series A, Cancers, BMJ Open and The Stata Journal Promoting communications on statistics and Stata.

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.

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