Paramjit Gill

256 papers receiving 4.7k citations

Paramjit Gill's Hit Papers

Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study 2021 · 253 citations
2530+1+3Years since publication50100150200250

Peers

Paramjit Gill
Comparison fields: 5 of 200
  • Family Practice 68
  • Cardiology and Cardiovascular Medicine 561
  • Endocrinology, Diabetes and Metabolism 418
  • General Health Professions 605
  • Emergency Medical Services 107
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Citations per year

Countries citing papers authored by Paramjit Gill

Since Specialization
Citations

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

Fields of papers citing papers by Paramjit Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 272 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study
Hit paper breakdown →
2021253
2 2011233
3 1996149
4 2007134
5 2008124
6 2007101
7 201194
8 200692
9 200991
10 201889
11
Health Care Needs Assessment: Black and Minority Ethnic Groups
200589
12 201481
13 199981
14 201665
15 202164
16 201164
17 199263
18 201261
19 199960
20 199859

About Paramjit Gill

Paramjit Gill is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions, Public Health, Environmental and Occupational Health, Sociology and Political Science and Statistics and Probability, having authored 272 papers that have together received 5.0k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (23 papers), Statistical Methods and Bayesian Inference (12 papers), Migration, Health and Trauma (12 papers), Optimal Experimental Design Methods (10 papers), Interpreting and Communication in Healthcare (9 papers), Primary Care and Health Outcomes (8 papers), Child Nutrition and Water Access (8 papers) and Sports Analytics and Performance (8 papers). The work is most often cited by research in Family Practice (68 citations), Cardiology and Cardiovascular Medicine (561 citations), Endocrinology, Diabetes and Metabolism (418 citations), General Health Professions (605 citations) and Emergency Medical Services (107 citations). Paramjit Gill has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Gregory Y.H. Lip, Sheila Greenfield, Tim B. Swartz, Alison Metcalfe, Jane Coad, Francesco P. Cappuccio, Rishi Caleyachetty, Richard Lilford, Tom Marshall and David Jones. Their work appears in journals such as BMJ Open, BMC Public Health, PLoS ONE, British Journal of General Practice and Journal of Human Hypertension.

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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