Jyoti Disa

2.4k citations
36 papers · 1.2k indexed · h-index 20
Topics
Receptor Mechanisms and Signaling (15 papers)Neuropeptides and Animal Physiology (15 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (7 papers)

In The Last Decade

Jyoti Disa

36 papers receiving 1.2k citations

Peers

Jyoti Disa
Comparison fields: 5 of 93
  • Molecular Biology 495
  • Cellular and Molecular Neuroscience 386
  • Surgery 270
  • Pharmacology 195
  • Physiology 184
Replace Alexandra Moers with:
Alexandra Moers Germany
Said AbdAlla Germany
Victoria Velarde Chile
Chen-Hsiung Yeh United States
Florian Müllershausen Germany
Timothy Coskran United States
Alex L. Loeb United States
William M. Isenberg United States
Yasuhiro Watanabe Japan
Gail Walkinshaw United States
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Citations per field
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Citations per year

Countries citing papers authored by Jyoti Disa

Since Specialization
Citations

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

Fields of papers citing papers by Jyoti Disa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyoti Disa

This figure shows the co-authorship network connecting the top 25 collaborators of Jyoti Disa. A scholar is included among the top collaborators of Jyoti Disa 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 Disa. Jyoti Disa 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 71
2 11
3 14
4 43
5 32
6 16
7 17
8 15
9 38
10 109
11 25
12 51
13 34
14 10
15 51
16 15
17 5
18
Mechanisms of platelet dysfunction and response to DDAVP in patients with congenital platelet function defects. A double-blind placebo-controlled trial.
37
19 3
20 25

About Jyoti Disa

Jyoti Disa is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Neuropeptides and Animal Physiology (15 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (386 citations), Physiology (61 citations) and Hematology (130 citations). Jyoti Disa has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Nambi Aiyar, A. Koneti Rao, Stephen A. Douglas, Zhaohui Ao, Marija Tadin‐Strapps, Diane P. Naselsky, Ponnal Nambi, Yang Xu, Nabil A. Elshourbagy and Robert N. Willette. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

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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