Vin Gupta

10 papers receiving 340 citations

Vin Gupta's Hit Papers

Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and initiation among young people in 204 countries and territories, 1990–2019 2021 · 208 citations
2080+1+3Years since publication50100150200

Peers

Vin Gupta
Comparison fields: 5 of 92
  • Health Informatics 15
  • Modeling and Simulation 18
  • Physiology 97
  • Applied Psychology 18
  • Organizational Behavior and Human Resource Management 33
Replace Luan Manh Chu with:
Luan Manh Chu Canada
Tanvi Kiran India
Aravind P. Gandhi India
Samah Hayek Israel
Juan Canedo United States
Sibel Sakarya Türkiye
Gauri Dhumal United States
Mario Cesare Nurchis Italy
Sima Afrashteh Iran
Tue Helms Andersen Denmark
Vin Gupta relative to Luan Manh Chu Canada Luan Manh Chu's profile →
Citations per field
00.5×
Luan Manh Chu · 1×
Citations per year

Countries citing papers authored by Vin Gupta

Since Specialization
Citations

This map shows the geographic impact of Vin Gupta'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 Vin Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vin Gupta more than expected).

Fields of papers citing papers by Vin Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vin Gupta. 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 Vin Gupta. The network helps show where Vin Gupta may publish in the future.

Co-authors

The 25 scholars most cited alongside Vin Gupta, 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 Vin Gupta Line = papers co-authored together Vin Gupta links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and initiation among young people in 204 countries and territories, 1990–2019
Hit paper breakdown →
2021208
2 201838
3 202434
4 201519
5 201518
6 202014
7 20187
8 20176
9 20186
10 20251
11 20180

About Vin Gupta

Vin Gupta is a scholar working on Pediatrics, Perinatology and Child Health, Finance, General Health Professions, Organizational Behavior and Human Resource Management and Surgery, having authored 11 papers that have together received 351 indexed citations. Recurring topics across this work include Global Maternal and Child Health (4 papers), Healthcare Systems and Reforms (4 papers), Global Public Health Policies and Epidemiology (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Global Health Care Issues (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper), Smoking Behavior and Cessation (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (15 citations), Modeling and Simulation (18 citations), Physiology (97 citations), Applied Psychology (18 citations) and Organizational Behavior and Human Resource Management (33 citations). Vin Gupta has collaborated with scholars based in United States, Switzerland and Finland. Frequent co-authors include Emmanuela Gakidou, Marissa B Reitsma, Simon I Hay, Luísa Sório Flor, Erin C Mullany, Vanessa Kerry, Rebecca Katz, Cristóbal Pais, Jianfeng Liu and R. Voigt. Their work appears in journals such as New England Journal of Medicine, Journal of Global Health, JAMA Network Open, Nature Medicine and Annals of the American Thoracic Society.

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.

Explore authors with similar magnitude of impact