Amit Kumar Sonkar

16 papers receiving 410 citations

Peers

Amit Kumar Sonkar
Comparison fields: 5 of 74
  • Computational Theory and Mathematics 80
  • Small Animals 33
  • Molecular Biology 266
  • Infectious Diseases 65
  • Parasitology 23
Replace Tripti Pandey with:
Tripti Pandey India
Mohd Akif India
Rajani Kanta Mahapatra India
Mary Ann Powles United States
Yuliya Y. Kleshchenko United States
Lisa Xie United States
Rana Adnan Tahir Pakistan
Esben B. Svenningsen Denmark
Mukesh Kumar India
Yusong Miao China
Amit Kumar Sonkar relative to Tripti Pandey India Tripti Pandey's profile →
Citations per field
00.5×1.5×
Tripti Pandey · 1×
Citations per year

Countries citing papers authored by Amit Kumar Sonkar

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kumar Sonkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Amit Kumar Sonkar, 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 Amit Kumar Sonkar Line = papers co-authored together Amit Kumar Sonkar links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201771
2 201759
3 201756
4 201746
5 201738
6 201635
7 201734
8 202026
9 201914
10 201510
11 20188
12 20177
13 20223
14 20182
15 20161
16 20231

About Amit Kumar Sonkar

Amit Kumar Sonkar is a scholar working on Molecular Biology, Small Animals, Computational Theory and Mathematics, Infectious Diseases and Animal Science and Zoology, having authored 16 papers that have together received 411 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (3 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Enzyme Structure and Function (3 papers), Tuberculosis Research and Epidemiology (2 papers), Helminth infection and control (2 papers), Coccidia and coccidiosis research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (80 citations), Small Animals (33 citations), Molecular Biology (266 citations), Infectious Diseases (65 citations) and Parasitology (23 citations). Amit Kumar Sonkar has collaborated with scholars based in India, Israel and Russia. Frequent co-authors include Timir Tripathi, Rohit Shukla, Harish Shukla, Tripti Pandey, Parismita Kalita, Dev Bukhsh Singh, Awanish Kumar, Maria Y. Pakharukova, Arvind Kumar Singh and Viatcheslav A. Mordvinov. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Biomolecular Structure and Dynamics, ACS Omega, Scientific Reports and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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