Kumar Singh Saikatendu

20 papers receiving 1.4k citations

Hit Papers

Accelerating antiviral drug discovery: lessons from COVID-1920232026202420252023255075

Peers

Kumar Singh Saikatendu
Comparison fields: 5 of 91
  • Infectious Diseases 775
  • Molecular Biology 582
  • Animal Science and Zoology 279
  • Computational Theory and Mathematics 206
  • Immunology 196
Replace Lucas Farnung with:
Lucas Farnung Germany
Chloë Roustan United Kingdom
Jinzhi Tan China
Shoudeng Chen China
Neerja Kaushik‐Basu United States
Jana Schmitzová Germany
Holger A. Lindner Germany
Paul Dominic B. Olinares United States
Christin Müller Germany
K. Michalska United States
Kumar Singh Saikatendu relative to Lucas Farnung Germany Lucas Farnung's profile →
Citations per field
00.5×3.8×
Lucas Farnung · 1×
Citations per year

Countries citing papers authored by Kumar Singh Saikatendu

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Singh Saikatendu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumar Singh Saikatendu

This figure shows the co-authorship network connecting the top 25 collaborators of Kumar Singh Saikatendu. A scholar is included among the top collaborators of Kumar Singh Saikatendu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kumar Singh Saikatendu. Kumar Singh Saikatendu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 4
4
Accelerating antiviral drug discovery: lessons from COVID-19breakdown →
98
5 2
6 18
7 3
8 91
9 21
10 10
11 151
12 42
13 66
14 74
15 72
16 117
17 14
18 332
19 94
20 157

About Kumar Singh Saikatendu

Kumar Singh Saikatendu is a scholar working on Infectious Diseases, Toxicology and Oncology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Protein Structure and Dynamics (4 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Infectious Diseases (775 citations), Animal Science and Zoology (279 citations) and Computational Theory and Mathematics (206 citations). Kumar Singh Saikatendu has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Raymond C. Stevens, Michael J. Buchmeier, Peter Kühn, Jeremiah S. Joseph, Benjamin W. Neuman, Vanitha Subramanian, Naina Barretto, Andrew D. Mesecar, Kiira Ratia and Susan C. Baker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Nature Reviews Drug Discovery.

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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