Kunal Sharan

38 papers receiving 1.0k citations

Peers

Kunal Sharan
Comparison fields: 5 of 104
  • Orthopedics and Sports Medicine 133
  • Endocrine and Autonomic Systems 54
  • Molecular Biology 523
  • Biochemistry 40
  • Complementary and alternative medicine 44
Replace Shyi‐Wu Wang with:
Shyi‐Wu Wang Taiwan
Stephen J. Crozier United States
Neda Akhavan United States
Verica Milošević Serbia
Elisabetta Cavalieri Italy
Carmen E. Perrone United States
Gabriela Picotto Argentina
Sara Cruciani Italy
Kunal Sharan relative to Shyi‐Wu Wang Taiwan Shyi‐Wu Wang's profile →
Citations per field
00.5×2.8×
Shyi‐Wu Wang · 1×
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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011101
2 201796
3 200967
4 201166
5 200958
6 201246
7 201043
8 201139
9 201038
10 201137
11 201236
12 201233
13 201031
14 201430
15 202026
16 201326
17 201725
18 201024
19 202022
20 201821

About Kunal Sharan

Kunal Sharan is a scholar working on Molecular Biology, Nutrition and Dietetics, Genetics, Pediatrics, Perinatology and Child Health and Cell Biology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (14 papers), Birth, Development, and Health (4 papers), Gut microbiota and health (3 papers), Bone health and treatments (3 papers), Pregnancy and preeclampsia studies (2 papers), Bone health and osteoporosis research (2 papers), Infant Nutrition and Health (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (133 citations), Endocrine and Autonomic Systems (54 citations), Molecular Biology (523 citations), Biochemistry (40 citations) and Complementary and alternative medicine (44 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, Sabyasachi Sanyal and Kainat Khan. 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, Phytomedicine and European Journal of Pharmacology.

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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