Sanjeev Kumar Singh

266 papers receiving 6.3k citations

Peers

Sanjeev Kumar Singh
Comparison fields: 5 of 171
  • Pollution 936
  • Computational Theory and Mathematics 1.3k
  • Virology 176
  • Infectious Diseases 662
  • Complementary and alternative medicine 247
Replace Noorsaadah Abd Rahman with:
Noorsaadah Abd Rahman Malaysia
Firzan Nainu Indonesia
Abhijit Dey India
Eugenie Nepovimová Czechia
Awanish Kumar India
Naïf Abdullah Al-Dhabi Saudi Arabia
Om Prakash India
Bechan Sharma India
Samuel M. Cohen United States
Muhammad Akram Pakistan
Sanjeev Kumar Singh relative to Noorsaadah Abd Rahman Malaysia Noorsaadah Abd Rahman's profile →
Citations per field
00.5×3.9×
Noorsaadah Abd Rahman · 1×
Citations per year

Countries citing papers authored by Sanjeev Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 276 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014231
2 2010224
3 2007199
4 2020196
5 2013173
6 2015168
7 2020144
8 2006135
9 2009114
10 2021113
11 2015106
12 200799
13 201895
14 201888
15 201887
16 201982
17 201779
18 201776
19 202075
20 202169

About Sanjeev Kumar Singh

Sanjeev Kumar Singh is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Organic Chemistry and Pollution, having authored 276 papers that have together received 6.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (58 papers), HIV/AIDS drug development and treatment (18 papers), HIV Research and Treatment (18 papers), Microbial bioremediation and biosurfactants (16 papers), Synthesis and biological activity (15 papers), Heavy metals in environment (9 papers), vaccines and immunoinformatics approaches (8 papers) and Mosquito-borne diseases and control (8 papers). The work is most often cited by research in Pollution (936 citations), Computational Theory and Mathematics (1.3k citations), Virology (176 citations), Infectious Diseases (662 citations) and Complementary and alternative medicine (247 citations). Sanjeev Kumar Singh has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Chandrabose Selvaraj, Asha A. Juwarkar, Sunil Kumar Tripathi, Anuraj Nayarisseri, Umesh Panwar, Poonam C. Singh, Venkatesan Suryanarayanan, Murali Aarthy, Karnati Konda Reddy and Kirti V. Dubey. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Current Topics in Medicinal Chemistry, Advances in protein chemistry and structural biology, Scientific Reports and International Journal of Biological Macromolecules.

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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