Prashant Kumar Singh

412 citations
14 papers · 307 · h-index 8

Impact in

Papers in

Prashant Kumar Singh

11 papers receiving 304 citations

Peers

Prashant Kumar Singh
Comparison fields: 5 of 61
  • Structural Biology 12
  • Cell Biology 38
  • Infectious Diseases 49
  • Molecular Biology 144
  • Genetics 22
Replace Mateusz Jaskółowski with:
Mateusz Jaskółowski United States
Nina C. Leksa United States
Vincent Lu United States
Matti F. Pronker Netherlands
John R. Houser United States
Miriam Sarah Weber Switzerland
Jason Lee Choi United States
Veronica Kane Dickson United Kingdom
Janett Piesker Germany
Vesna Olivieri Switzerland
Prashant Kumar Singh relative to Mateusz Jaskółowski United States Mateusz Jaskółowski's profile →
Citations per field
00.5×2×4×6×8.7×
Mateusz Jaskółowski · 1×
Citations per year

Countries citing papers authored by Prashant Kumar Singh

Since Specialization
Citations

This map shows the geographic impact of Prashant 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 Prashant 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 Prashant Kumar Singh more than expected).

Fields of papers citing papers by Prashant Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017104
2 201861
3 201839
4 202336
5 202425
6 201913
7 201310
8 20178
9 20237
10 20193
11 20241
12 20220
13 20250
14 20250

About Prashant Kumar Singh

Prashant Kumar Singh is a scholar working on Structural Biology, Molecular Biology, Epidemiology, Cell Biology and Materials Chemistry, having authored 14 papers that have together received 307 indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (3 papers), Enzyme Structure and Function (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Urinary Tract Infections Management (2 papers), Receptor Mechanisms and Signaling (1 paper), Breast Lesions and Carcinomas (1 paper), Mitochondrial Function and Pathology (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Structural Biology (12 citations), Cell Biology (38 citations), Infectious Diseases (49 citations), Molecular Biology (144 citations) and Genetics (22 citations). Prashant Kumar Singh has collaborated with scholars based in United States, India and Israel. Frequent co-authors include T.M. Iverson, Gary Cecchini, Melanie D. Ohi, Candice S. Klug, Eugenia V. Gurevich, Nicole A. Perry, Sergey A. Vishnivetskiy, Chad A. Brautigam, Vsevolod V. Gurevich and Nathaniel C. Gilbert. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, The Journal of Urology, Journal of Structural Biology and Polycyclic aromatic compounds.

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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