Jyoti K. Jaiswal

9.5k citations
91 papers · 6.9k indexed · 3 hit papers · h-index 38
Topics
Muscle Physiology and Disorders (28 papers)Cellular transport and secretion (14 papers)Lipid Membrane Structure and Behavior (13 papers)

In The Last Decade

Jyoti K. Jaiswal

87 papers receiving 6.8k citations

Hit Papers

Long-term multiple color imaging of live cells using quan...200220262010201820022004202450010001.5k

Peers

Jyoti K. Jaiswal
Comparison fields: 5 of 144
  • Molecular Biology 4.3k
  • Materials Chemistry 2.4k
  • Biomedical Engineering 1.1k
  • Cell Biology 1.0k
  • Electrical and Electronic Engineering 683
Replace Roland Nitschke with:
Roland Nitschke Germany
Jiajie Diao United States
Minglei Zhao China
Roberto Weigert United States
Andreas Janshoff Germany
Ali H. Brivanlou United States
Michal Neeman Israel
Paul M.P. van Bergen en Henegouwen Netherlands
Hidehito Tochio Japan
Maciej S. Lesniak United States
Jyoti K. Jaiswal relative to Roland Nitschke Germany Roland Nitschke's profile →
Citations per field
00.5×1.5×
Roland Nitschke · 1×
Citations per year

Countries citing papers authored by Jyoti K. Jaiswal

Since Specialization
Citations

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

Fields of papers citing papers by Jyoti K. Jaiswal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyoti K. Jaiswal

This figure shows the co-authorship network connecting the top 25 collaborators of Jyoti K. Jaiswal. A scholar is included among the top collaborators of Jyoti K. Jaiswal 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 Jyoti K. Jaiswal. Jyoti K. Jaiswal 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 1
2 0
3 5
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Annexins—a family of proteins with distinctive tastes for cell signaling and membrane dynamicsbreakdown →
53
5 2
6 15
7 8
8 0
9 17
10 7
11 26
12 21
13 61
14 30
15 40
16 45
17 50
18 95
19 56
20 7

About Jyoti K. Jaiswal

Jyoti K. Jaiswal is a scholar working on Cell Biology, Molecular Biology and Genetics, having authored 91 papers that have together received 6.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (28 papers), Cellular transport and secretion (14 papers) and Lipid Membrane Structure and Behavior (13 papers). The work is most often cited by research in Cell Biology (1.0k citations), Molecular Biology (4.3k citations) and Materials Chemistry (2.4k citations). Jyoti K. Jaiswal has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Sanford M. Simon, Hedi Mattoussi, J. Matthew Mauro, Evelyn B. Voura, Norma W. Andrews, Aurélia Defour, Adam Horn, Igor L. Medintz, H. Tetsuo Uyeda and Sen Chandra Sreetama. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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