Sharad Kumar

62.0k citations
304 papers · 20.0k indexed · 5 hit papers · h-index 81

Sharad Kumar

296 papers receiving 19.7k citations

Hit Papers

Autophagy-dependent ...5771994202620042015250500750

Peers

Sharad Kumar
Comparison fields: 5 of 173
  • Molecular Biology 14.5k
  • Aging 348
  • Immunology 3.7k
  • Cell Biology 2.8k
  • Cancer Research 1.7k
Replace Hidenori Ichijo with:
Hidenori Ichijo Japan
Tomoki Chiba Japan
Yoshihide Tsujimoto Japan
A Currie United Kingdom
David L. Vaux Australia
George Thomas Switzerland
Donald W. Nicholson Canada
Srinivasa M. Srinivasula United States
Hong‐Gang Wang United States
Nancy A. Thornberry United States
Sharad Kumar relative to Hidenori Ichijo Japan Hidenori Ichijo's profile →
Citations per field
00.5×1.5×
Hidenori Ichijo · 1×
Citations per year

Countries citing papers authored by Sharad Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sharad Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202412
4 20235
5 20237
6 20237
7 202215
8 202113
9
Prevalence of Hypertension and Its Correlates among Adult Tribal Population (≥20 Years) of Maharashtra State, India. -
201418
10
A study of the geographical clustering of districts in Uttar Pradesh using nutritional anthropometric data of preschool children
20132
11 201326
12 200915
13 2003132
14 2002128
15 2002161
16 200120
17
A study of dietary pattern, household food security and nutritional profile of under-five children of a community of West Bengal.
200012
18 19885
19 198111
20 19812

About Sharad Kumar

Sharad Kumar is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 304 papers that have together received 20.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (91 papers), Ubiquitin and proteasome pathways (41 papers), Autophagy in Disease and Therapy (40 papers), Mitochondrial Function and Pathology (19 papers), RNA Interference and Gene Delivery (18 papers), Ion Transport and Channel Regulation (18 papers), Invertebrate Immune Response Mechanisms (16 papers) and Trace Elements in Health (15 papers). The work is most often cited by research in Molecular Biology (14.5k citations), Aging (348 citations) and Immunology (3.7k citations). Sharad Kumar has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Loretta Dorstyn, Donna Denton, Daniela Rotin, Makoto Noda, Sonia Shalini, Natasha L. Harvey, Swati Dawar, Kieran F. Harvey, Paul A. Colussi and Stuart H. Read. Their work appears in journals such as Cell Death and Differentiation, Journal of Biological Chemistry, Cell Death and Disease, The Journal of Cell Biology and Biochemical and Biophysical Research Communications.

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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2026