Preeti Kishore

30 papers receiving 1.2k citations

Peers

Preeti Kishore
Comparison fields: 5 of 84
  • Geriatrics and Gerontology 162
  • Endocrine and Autonomic Systems 112
  • Physiology 391
  • Endocrinology, Diabetes and Metabolism 244
  • Epidemiology 401
Replace Shin Yonemitsu with:
Shin Yonemitsu Japan
Tommaso de Giorgis Italy
Min Young Kim South Korea
Eun Nim Kim South Korea
William G. McMaster United States
Maria Chondronikola United States
G. Gortan Cappellari Italy
Vivion Crowley Ireland
Gwanpyo Koh South Korea
Preeti Kishore relative to Shin Yonemitsu Japan Shin Yonemitsu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Preeti Kishore

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Kishore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012241
2 2004210
3 2007147
4 201184
5 201380
6 200372
7 200551
8 201042
9 200639
10 200731
11 201329
12 202024
13 201224
14 201222
15 202122
16 201520
17 201218
18 201616
19 200614
20 202014

About Preeti Kishore

Preeti Kishore is a scholar working on Surgery, Physiology, Epidemiology, Infectious Diseases and Molecular Biology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diet and metabolism studies (6 papers), Adipose Tissue and Metabolism (5 papers), Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (4 papers), COVID-19 Clinical Research Studies (4 papers), Vitamin D Research Studies (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Geriatrics and Gerontology (162 citations), Endocrine and Autonomic Systems (112 citations), Physiology (391 citations), Endocrinology, Diabetes and Metabolism (244 citations) and Epidemiology (401 citations). Preeti Kishore has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Meredith Hawkins, Julia Tonelli, Nir Barzilai, Weijie Li, Jill P. Crandall, Philipp E. Scherer, Daniel T. Stein, Sudha Koppaka, V Oram and Sylvia Kehlenbrink. Their work appears in journals such as Diabetes, American Journal of Physiology-Endocrinology and Metabolism, Diabetologia, The Journals of Gerontology Series A and Journal of Clinical Investigation.

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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