J.S. Bajaj

653 citations
44 papers · 486 · h-index 12

Impact in

Papers in

    • Diabetes, Cardiovascular Risks, and Lipoproteins 10
    • Diabetes Management and Research 9
    • Diabetes Treatment and Management 6
    • Hormonal and reproductive studies 5
    • Pancreatic function and diabetes 5

J.S. Bajaj

42 papers receiving 429 citations

Peers

J.S. Bajaj
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 222
  • Clinical Biochemistry 22
  • Surgery 111
  • Physiology 64
  • Reproductive Medicine 20
Replace Antal E. Solyom with:
Antal E. Solyom United States
MASUMI KADOWAKI Japan
David Weiland United States
Xiaodong Zhu China
Yoshihiro Kiuchi Japan
R. J. Morin United States
Rucha Mehta United States
George L. Cohn United States
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Citations per field
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Citations per year

Countries citing papers authored by J.S. Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by J.S. Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.S. Bajaj. 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 J.S. Bajaj. The network helps show where J.S. Bajaj may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197785
2
Diabetes mellitus in developing countries.
198439
3 199639
4 198432
5 198729
6 199020
7 199518
8
Insulin and metabolism
197717
9 197616
10 200615
11 201114
12 199213
13 198011
14 197411
15 197910
16 198010
17 19989
18 19939
19 19958
20 19908

About J.S. Bajaj

J.S. Bajaj is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Epidemiology and Physiology, having authored 44 papers that have together received 486 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Diabetes Management and Research (9 papers), Diabetes Treatment and Management (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (5 papers), Hormonal and reproductive studies (5 papers), Diabetes and associated disorders (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (222 citations), Clinical Biochemistry (22 citations), Surgery (111 citations), Physiology (64 citations) and Reproductive Medicine (20 citations). J.S. Bajaj has collaborated with scholars based in India, Kuwait and United Kingdom. Frequent co-authors include Piero P. Foà, J. Subba Rao, Romesh Khardori, Mustafa Khogali, Nabila Abdella, J. Vallance‐Owen, K.A. Gumaa, Hanspria Sharma, K. R. Sundaram and M. Rajalakshmi. Their work appears in journals such as Acta Diabetologica, Contraception, The Lancet, Journal of Theoretical Biology and Drug and Alcohol Dependence.

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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