Ravi Iyengar

25.5k citations
246 papers · 17.3k indexed · 4 hit papers · h-index 68
Topics
Receptor Mechanisms and Signaling (55 papers)Protein Kinase Regulation and GTPase Signaling (52 papers)Gene Regulatory Network Analysis (35 papers)

In The Last Decade

Ravi Iyengar

237 papers receiving 16.8k citations

Hit Papers

Emergent Properties of Networks of Biological Signaling P...199820262007201619992002200719984008001.2k

Peers

Ravi Iyengar
Comparison fields: 5 of 186
  • Molecular Biology 11.9k
  • Cellular and Molecular Neuroscience 3.9k
  • Cell Biology 2.3k
  • Computational Theory and Mathematics 1.2k
  • Oncology 1.2k
Replace Walter Kölch with:
Walter Kölch Ireland
Larry A. Sklar United States
Susan S. Taylor United States
Avi Ma’ayan United States
Steven A. Carr United States
Hans Lehrach Germany
Kevan M. Shokat United States
John D. Scott United States
John Blenis United States
Hans Lassmann Austria
Ravi Iyengar relative to Walter Kölch Ireland Walter Kölch's profile →
Citations per field
00.5×2.8×
Walter Kölch · 1×
Citations per year

Countries citing papers authored by Ravi Iyengar

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Iyengar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Iyengar

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Iyengar. A scholar is included among the top collaborators of Ravi Iyengar 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 Ravi Iyengar. Ravi Iyengar 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 6
2 0
3 12
4 17
5 0
6 3
7 5
8 5
9 28
10 18
11 19
12 2
13 13
14 31
15 46
16 13
17 40
18
Editorial [2007 IET Systems Biology]
4
19 1
20
Development Of Wuchereria bancrofti and W. malayi.
2

About Ravi Iyengar

Ravi Iyengar is a scholar working on Molecular Biology, Biophysics and Cell Biology, having authored 246 papers that have together received 17.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (55 papers), Protein Kinase Regulation and GTPase Signaling (52 papers) and Gene Regulatory Network Analysis (35 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.9k citations), Molecular Biology (11.9k citations) and Cell Biology (2.3k citations). Ravi Iyengar has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Upinder S. Bhalla, Prahlad T. Ram, Susana R. Neves, Lutz Birnbaumer, Avi Ma’ayan, Emmanuel M. Landau, Seth Berger, Robert D. Blitzer, Juan Codina and J. Dedrick Jordan. Their work appears in journals such as Nature, Science and Cell.

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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