Amit Sonkar

468 citations
16 papers · 411 · h-index 10

Impact in

Papers in

    • Protein Structure and Dynamics 3
    • Biochemical and Molecular Research 3
    • Fungal and yeast genetics research 2
    • RNA Research and Splicing 2
    • Tuberculosis Research and Epidemiology 2

Amit Sonkar

16 papers receiving 410 citations

Peers

Amit Sonkar
Comparison fields: 5 of 74
  • Computational Theory and Mathematics 83
  • Small Animals 33
  • Molecular Biology 268
  • Infectious Diseases 65
  • Molecular Medicine 18
Replace Tripti Pandey with:
Tripti Pandey India
Mohd Akif India
Rajani Kanta Mahapatra India
Abhimanyu K. Singh India
Mary Ann Powles United States
Yuliya Y. Kleshchenko United States
Moana Simpson Australia
Rana Adnan Tahir Pakistan
Aldo Segura‐Cabrera Mexico
Esther Jortzik Germany
Amit 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 Sonkar

Since Specialization
Citations

This map shows the geographic impact of Amit 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 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 Sonkar more than expected).

Fields of papers citing papers by Amit Sonkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201772
2 201760
3 201754
4 201747
5 201738
6 201635
7 201735
8 202025
9 201914
10 201510
11 20188
12 20177
13 20182
14 20222
15 20231
16 20161

About Amit Sonkar

Amit Sonkar is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Materials Chemistry and Organic Chemistry, having authored 16 papers that have together received 411 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Enzyme Structure and Function (3 papers), Biochemical and Molecular Research (3 papers), Fungal and yeast genetics research (2 papers), Coccidia and coccidiosis research (2 papers), RNA Research and Splicing (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (83 citations), Small Animals (33 citations), Molecular Biology (268 citations), Infectious Diseases (65 citations) and Molecular Medicine (18 citations). Amit Sonkar has collaborated with scholars based in India, Russia and Israel. Frequent co-authors include Timir Tripathi, Rohit Shukla, Harish Shukla, Tripti Pandey, Parismita Kalita, Awanish Kumar, Dev Bukhsh Singh, Maria Y. Pakharukova, Viatcheslav A. Mordvinov and Arvind Kumar Singh. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Biomolecular Structure and Dynamics, ACS Omega, Biochemical and Biophysical Research Communications 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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