Jyoti Dev

601 citations
8 papers · 535 · h-index 8

Impact in

  • Virology top 10%
    • HIV Research and Treatment
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

    • Hepatitis C virus research 3
    • Lipid Membrane Structure and Behavior 3
    • Protein Structure and Dynamics 2
    • Ion channel regulation and function 1

Jyoti Dev

8 papers receiving 531 citations

Peers

Jyoti Dev
Comparison fields: 5 of 51
  • Virology 67
  • Hepatology 76
  • Molecular Biology 296
  • Modeling and Simulation 19
  • Spectroscopy 58
Replace Guillaume N. Fiches with:
Guillaume N. Fiches United States
Neil Arvin Bretaña Australia
Nikos C. Pagratis United States
Leanna Lagpacan United States
Steven S. Bondy United States
Martin Klíma Czechia
Gabrielle Heilek United States
George Patargias United Kingdom
Mary H. Hanlon United States
Vera L. Tunitskaya Russia
Jyoti Dev relative to Guillaume N. Fiches United States Guillaume N. Fiches's profile →
Citations per field
00.5×2×4×6×8×9.5×
Guillaume N. Fiches · 1×
Citations per year

Countries citing papers authored by Jyoti Dev

Since Specialization
Citations

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

Fields of papers citing papers by Jyoti Dev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2013236
2 2016157
3 201647
4 201129
5 201724
6 201517
7 201817
8 20168

About Jyoti Dev

Jyoti Dev is a scholar working on Hepatology, Molecular Biology, Virology, Modeling and Simulation and Spectroscopy, having authored 8 papers that have together received 535 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (3 papers), Hepatitis C virus research (3 papers), Protein Structure and Dynamics (2 papers), Ion channel regulation and function (1 paper), Virus-based gene therapy research (1 paper), HIV Research and Treatment (1 paper), Mathematical Biology Tumor Growth (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Virology (67 citations), Hepatology (76 citations), Molecular Biology (296 citations), Modeling and Simulation (19 citations) and Spectroscopy (58 citations). Jyoti Dev has collaborated with scholars based in United States, China and Germany. Frequent co-authors include James Jeiwen Chou, Bo OuYang, Marcelo J. Berardi, Wenjing Yu, Xinhao Zhao, Qingshan Fu, Shiqi Xie, Bing Sun, Alessandro Piai and Zhijun Liu. Their work appears in journals such as Gene Therapy, Journal of the American Chemical Society, Nature, Structure and Chemistry - A European Journal.

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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