Steve Gerondakis
Impact in
- Immunology top 0.5%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- interferon and immune responses
- Cancer Research top 0.2%
- NF-κB Signaling Pathways
Papers in
- Immunology 74
- Immune Response and Inflammation 44
- Immune Cell Function and Interaction 31
- T-cell and B-cell Immunology 21
- Immunotherapy and Immune Responses 17
- interferon and immune responses 11
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- NF-κB Signaling Pathways 59
- Co-authors
- Raelene J. Grumont (47 shared papers)Ashish Banerjee (17 shared papers)Ian J. Rourke (3 shared papers)Raffi Gugasyan (17 shared papers)Andreas Strasser (14 shared papers)Mathis Grossmann (5 shared papers)Ulrich Siebenlist (1 shared paper)M Shannon (9 shared papers)
- Journals
- The Journal of Immunology (13 papers)The Journal of Experimental Medicine (7 papers)Molecular and Cellular Biology (6 papers)Blood (5 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Steve Gerondakis
94 papers receiving 6.6k citations
Peers
Comparison fields: 5 of 113
- Immunology 4.0k
- Cancer Research 2.7k
- Oncology 1.2k
- Molecular Biology 2.4k
- Hematology 256
Countries citing papers authored by Steve Gerondakis
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
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-authors
The 25 scholars most cited alongside Steve Gerondakis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 359 | |
| 2 | 1983 | 271 | |
| 3 | 1999 | 269 | |
| 4 | 2009 | 246 | |
| 5 | 2006 | 240 | |
| 6 | 2006 | 221 | |
| 7 | 1998 | 212 | |
| 8 | 2009 | 204 | |
| 9 | 2013 | 187 | |
| 10 | 1998 | 174 | |
| 11 | 2000 | 169 | |
| 12 | 2001 | 153 | |
| 13 | 2000 | 148 | |
| 14 | 1994 | 139 | |
| 15 | 2007 | 134 | |
| 16 | 2002 | 131 | |
| 17 | 2006 | 124 | |
| 18 | 1999 | 118 | |
| 19 | 2005 | 112 | |
| 20 | 2006 | 110 |
About Steve Gerondakis
Steve Gerondakis is a scholar working on Immunology, Cancer Research, Molecular Biology, Oncology and Epidemiology, having authored 94 papers that have together received 6.7k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (59 papers), Immune Response and Inflammation (44 papers), Immune Cell Function and Interaction (31 papers), T-cell and B-cell Immunology (21 papers), Immunotherapy and Immune Responses (17 papers), interferon and immune responses (11 papers), Cytokine Signaling Pathways and Interactions (9 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Immunology (4.0k citations), Cancer Research (2.7k citations), Oncology (1.2k citations), Molecular Biology (2.4k citations) and Hematology (256 citations). Steve Gerondakis has collaborated with scholars based in Australia, United States and Canada. Frequent 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. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Molecular and Cellular Biology, Blood and Proceedings of the National Academy of Sciences.
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.