Ashutosh Kumar

255 papers receiving 5.2k citations

Peers

Ashutosh Kumar
Comparison fields: 5 of 175
  • Computational Theory and Mathematics 429
  • Molecular Medicine 134
  • Materials Chemistry 1.2k
  • Molecular Biology 1.7k
  • Endocrinology 120
Replace Tatsuya Takagi with:
Tatsuya Takagi Japan
Richard B. Sessions United Kingdom
Min Sun Yeom South Korea
Fei Wang China
Fang Ye China
Daniel Franke Germany
Dong‐Eun Kim South Korea
Qi Zhao China
Tristan I. Croll United Kingdom
Erik Goormaghtigh Belgium
Ashutosh Kumar relative to Tatsuya Takagi Japan Tatsuya Takagi's profile →
Citations per field
00.5×1.5×2.4×
Tatsuya Takagi · 1×
Citations per year

Countries citing papers authored by Ashutosh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ashutosh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 280 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017277
2 2010205
3 2010153
4 2018125
5 2012118
6 2012111
7 2014111
8 2005102
9 2011100
10 201795
11 201289
12 201384
13 200678
14 200178
15 201475
16 202275
17 201673
18 201566
19 200964
20 201463

About Ashutosh Kumar

Ashutosh Kumar is a scholar working on Hematology, Genetics, Computational Theory and Mathematics, Materials Chemistry and Toxicology, having authored 280 papers that have together received 5.3k indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (17 papers), Computational Drug Discovery Methods (17 papers), Semiconductor materials and interfaces (16 papers), Protein Structure and Dynamics (13 papers), Ubiquitin and proteasome pathways (13 papers), Tuberculosis Research and Epidemiology (10 papers), Semiconductor materials and devices (10 papers) and Platelet Disorders and Treatments (10 papers). The work is most often cited by research in Computational Theory and Mathematics (429 citations), Molecular Medicine (134 citations), Materials Chemistry (1.2k citations), Molecular Biology (1.7k citations) and Endocrinology (120 citations). Ashutosh Kumar has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Kam Y. J. Zhang, Sanjay K. Srivastava, Ronald P. Mason, Seyed E. Hasnain, V. D. Vankar, Prashant Singh, Nasreen Z. Ehtesham, M. Husain, Anwar Alam and Mamta Rani. Their work appears in journals such as Journal of Applied Physics, Journal of Chemical Information and Modeling, Scientific Reports, Journal of Computer-Aided Molecular Design and PLoS ONE.

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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