Gurinder Mohan

52 papers receiving 276 citations

Peers

Gurinder Mohan
Comparison fields: 5 of 84
  • Virology 64
  • Orthopedics and Sports Medicine 33
  • Paleontology 25
  • Genetics 81
  • Endocrinology, Diabetes and Metabolism 31
Replace Indira Maisnam with:
Indira Maisnam India
Pramila Kalra India
Yotsapon Thewjitcharoen Thailand
Marianne Mann United States
Ian Halsall United Kingdom
J. F. Adams United Kingdom
Liliana Bergoglio Argentina
Shon Meek United States
Francesco Carlomagno Italy
Elif Özsu Türkiye
Gurinder Mohan relative to Indira Maisnam India Indira Maisnam's profile →
Citations per field
00.5×6.3×
Indira Maisnam · 1×
Citations per year

Countries citing papers authored by Gurinder Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Gurinder Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 201620
3 200617
4 201816
5 200616
6 200515
7 20177
8 20106
9 20126
10 20186
11 20075
12 20035
13 20085
14 20175
15 20215
16 20185
17 20215
18 20174
19 20124
20 20194

About Gurinder Mohan

Gurinder Mohan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Epidemiology and Pharmacology, having authored 66 papers that have together received 298 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Musculoskeletal pain and rehabilitation (5 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Trace Elements in Health (3 papers), Iron Metabolism and Disorders (3 papers) and Myofascial pain diagnosis and treatment (3 papers). The work is most often cited by research in Virology (64 citations), Orthopedics and Sports Medicine (33 citations), Paleontology (25 citations), Genetics (81 citations) and Endocrinology, Diabetes and Metabolism (31 citations). Gurinder Mohan has collaborated with scholars based in India, Malaysia and United Kingdom. Frequent co-authors include Pawan Sharma, A.J.S. Bhanwer, Asir John Samuel, Krishna Padmanabhan, Rajesh Arora, Praveen Ravishankaran, Ashok Khurana, G. Ravindran, J. R. M. Copeland and Aakash Aggarwal. Their work appears in journals such as Biological Trace Element Research, Interactive Cardiovascular and Thoracic Surgery, Indian Journal of Science and Technology, Neurology and Journal of Bodywork and Movement Therapies.

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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