Steve Gerondakis

8.4k total citations
90 papers, 6.4k citations indexed

About

Steve Gerondakis is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Steve Gerondakis has authored 90 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Immunology, 58 papers in Cancer Research and 27 papers in Molecular Biology. Recurrent topics in Steve Gerondakis's work include NF-κB Signaling Pathways (58 papers), Immune Response and Inflammation (42 papers) and Immune Cell Function and Interaction (29 papers). Steve Gerondakis is often cited by papers focused on NF-κB Signaling Pathways (58 papers), Immune Response and Inflammation (42 papers) and Immune Cell Function and Interaction (29 papers). Steve Gerondakis collaborates with scholars based in Australia, United States and Canada. Steve Gerondakis's co-authors include Raelene J. Grumont, Ashish Banerjee, Ian J. Rourke, Raffi Gugasyan, Andreas Strasser, Mathis Grossmann, Ulrich Siebenlist, M Shannon, Yukio Nakamura and Thomas Pohl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Steve Gerondakis

90 papers receiving 6.3k citations

Peers

Steve Gerondakis
Comparison fields: 5 of 113
  • Immunology 4.0k
  • Cancer Research 2.7k
  • Molecular Biology 2.4k
  • Oncology 1.3k
  • Pathology and Forensic Medicine 340
Replace Véronique Baud with:
Véronique Baud France
Hailing Hsu United States
Patricia C. Cogswell United States
Raelene J. Grumont Australia
W. Wei‐Lynn Wong United States
William C. Sha United States
Bryant G. Darnay United States
M Shannon Australia
Stéphane Plaisance Belgium
Michael J. Lenardo United States
Véronique Baud France View profile →
Citations per field, relative to Steve Gerondakis
Steve Gerondakis · 1×
Citations per year, relative to Steve Gerondakis
Steve Gerondakis · 1×

Countries citing papers authored by Steve Gerondakis

Since Specialization
Citations

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

Fields of papers citing papers by Steve Gerondakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Gerondakis

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Gerondakis. A scholar is included among the top collaborators of Steve Gerondakis 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 Steve Gerondakis. Steve Gerondakis 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
# Work Indexed citations
1 43
2 12
3 61
4 50
5 18
6
c-Rel is required for the development of thymic Foxp3(+) CD4 regulatory T cells (vol 206, pg 3001, 2009)
1
7 97
8 107
9 26
10 41
11 106
12 14
13 102
14 359
15 174
16 3
17 9
18 14
19 13
20 7

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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