Sukriti Kumar

814 citations
19 papers · 598 · 1 hit paper · h-index 7

Impact in

Papers in

Sukriti Kumar

18 papers receiving 584 citations

Sukriti Kumar's Hit Papers

Assessment of insulin sensitivity/resistance 2014 · 428 citations
4280+4+8Years since publication100200300400

Peers

Sukriti Kumar
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 195
  • Physiology 103
  • Reproductive Medicine 29
  • Endocrine and Autonomic Systems 19
  • Genetics 64
Replace Syed Mohd Razi with:
Syed Mohd Razi India
Inka Miñambres Spain
Alfonso Otero-González Spain
Antonia Priego Spain
Barış Önder Pamuk Türkiye
Rosario I. Lorente Spain
Annalisa Giancaterini Italy
Samim Ali Mondal India
Xingbo Cheng China
Yaomin Hu China
Sukriti Kumar relative to Syed Mohd Razi India Syed Mohd Razi's profile →
Citations per field
00.5×1.5×2×
Syed Mohd Razi · 1×
Citations per year

Countries citing papers authored by Sukriti Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sukriti Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Sukriti Kumar, 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 Sukriti Kumar Line = papers co-authored together Sukriti Kumar links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Assessment of insulin sensitivity/resistance
Hit paper breakdown →
2014428
2 201642
3 201731
4 201827
5 202223
6 201713
7 20159
8 20176
9 20175
10 20172
11 20172
12 20222
13 20202
14 20182
15 20161
16 20161
17 20161
18 20221
19 20150

About Sukriti Kumar

Sukriti Kumar is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Pathology and Forensic Medicine, Infectious Diseases and Molecular Biology, having authored 19 papers that have together received 598 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (5 papers), Ion channel regulation and function (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes and associated disorders (2 papers), Vitamin D Research Studies (2 papers), Pancreatic function and diabetes (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (195 citations), Physiology (103 citations), Reproductive Medicine (29 citations), Endocrine and Autonomic Systems (19 citations) and Genetics (64 citations). Sukriti Kumar has collaborated with scholars based in India and United States. Frequent co-authors include Manish Gutch, Syed Mohd Razi, Abhinav Gupta, Kumar Gupta, Avinash Agarwal, Ved Prakash, Anil Kumar Gupta, Surendra Kumar, Amita Jain and Hardeep Singh Malhotra. Their work appears in journals such as Journal of Infection and Public Health, Journal of the American College of Cardiology, Biomedical Journal, Journal of Global Infectious Diseases and Endocrinology and Metabolism.

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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