Kunal Sharan

36 papers receiving 991 citations

Peers

Kunal Sharan
Comparison fields: 5 of 105
  • Orthopedics and Sports Medicine 169
  • Molecular Biology 600
  • Biochemistry 45
  • Endocrine and Autonomic Systems 49
  • Complementary and alternative medicine 58
Replace Shyi‐Wu Wang with:
Shyi‐Wu Wang Taiwan
Neda Akhavan United States
Ji Wang China
Stephen J. Crozier United States
Verica Milošević Serbia
Yen‐Hsuan Jean Taiwan
Manuela Zavatti Italy
Hyuk‐Sang Jung South Korea
Kunal Sharan relative to Shyi‐Wu Wang Taiwan Shyi‐Wu Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kunal Sharan

Since Specialization
Citations

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

Fields of papers citing papers by Kunal Sharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011100
2 201795
3 200967
4 201164
5 200956
6 201246
7 201043
8 201139
9 201038
10 201137
11 201236
12 201233
13 201030
14 201428
15 201326
16 202024
17 201723
18 201023
19 202022
20 201821

About Kunal Sharan

Kunal Sharan is a scholar working on Molecular Biology, Genetics, Pharmacology, Pediatrics, Perinatology and Child Health and Oncology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (19 papers), Natural product bioactivities and synthesis (6 papers), Bone health and osteoporosis research (4 papers), Estrogen and related hormone effects (4 papers), Pharmacological Effects of Medicinal Plants (4 papers), Birth, Development, and Health (4 papers), Bone health and treatments (4 papers) and Phytoestrogen effects and research (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (169 citations), Molecular Biology (600 citations), Biochemistry (45 citations), Endocrine and Autonomic Systems (49 citations) and Complementary and alternative medicine (58 citations). Kunal Sharan has collaborated with scholars based in India, United Kingdom and Japan. Frequent co-authors include Rakesh Maurya, Naibedya Chattopadhyay, Gaurav Swarnkar, Jawed A. Siddiqui, Vijay K. Yadav, Preeti Rawat, Manmeet Kumar, Takahisa Furukawa, Kainat Khan and Sabyasachi Sanyal. Their work appears in journals such as Menopause The Journal of The North American Menopause Society, The Journal of Nutritional Biochemistry, International Journal of Biological Macromolecules, European Journal of Pharmacology and Osteoporosis International.

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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