Kartik Narayan

743 citations
25 papers · 531 · h-index 12

Impact in

    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics

Papers in

    • Ubiquitin and proteasome pathways 2
    • Cellular transport and secretion 6
    • Cellular Mechanics and Interactions 5
    • Microtubule and mitosis dynamics 2

Kartik Narayan

23 papers receiving 515 citations

Peers

Kartik Narayan
Comparison fields: 5 of 90
  • Cell Biology 263
  • Aging 12
  • Biophysics 30
  • Structural Biology 7
  • Molecular Biology 255
Replace Denis Tsygankov with:
Denis Tsygankov United States
Chad D. McCormick United States
Barbara Brannetti Italy
David J. Kast United States
Hannes Grabner Germany
Robert Mahen United Kingdom
Sandra Goetze Switzerland
Mark E. Zweifel United States
Arjun Narayanan United States
Gisela Beck Germany
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Citations per field
00.5×1.5×
Denis Tsygankov · 1×
Citations per year

Countries citing papers authored by Kartik Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Kartik Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006115
2 2004100
3 200244
4 200843
5 202338
6 200336
7 200629
8 200326
9 200821
10 202215
11 202214
12 200614
13 201711
14 20104
15 20174
16 20243
17 20233
18 20223
19 20252
20 20232

About Kartik Narayan

Kartik Narayan is a scholar working on Molecular Biology, Cell Biology, Computer Vision and Pattern Recognition, Infectious Diseases and Virology, having authored 25 papers that have together received 531 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Cellular Mechanics and Interactions (5 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), HIV/AIDS drug development and treatment (2 papers), Face recognition and analysis (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cell Biology (263 citations), Aging (12 citations), Biophysics (30 citations), Structural Biology (7 citations) and Molecular Biology (255 citations). Kartik Narayan has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Mark A. Lemmon, Leslie D. Burtnick, Robert Robinson, Uno Lindberg, Clarence E. Schutt, Richa Singh, Mayank Vatsa, Kartik Thakral, Daryl E. Klein and Steven E. Stayrook. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Bioorganic & Medicinal Chemistry Letters, IEEE Transactions on Biometrics Behavior and Identity Science and Journal of Applied Crystallography.

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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