George Kollias
- Immunology top 0.05%
- Immune Response and Inflammation 48
- Immunotherapy and Immune Responses 27
- T-cell and B-cell Immunology 25
- Immune Cell Function and Interaction 22
- Rheumatology top 0.05%
- Rheumatoid Arthritis Research and Therapies 50
- Neurology top 0.2%
- Cancer Research top 0.2%
- NF-κB Signaling Pathways 30
- Oncology top 0.2%
- Cytokine Signaling Pathways and Interactions 42
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- Bone Metabolism and Diseases 29
- Co-authors
- Manolis PasparakisDimitris L. KontoyiannisLesley ProbertFrank GrosveldGeorge KassiotisLena AlexopoulouDavid R. GreavesEleni Douni
- Cited by
- ImmunologyRheumatologyNeurology
- Partner nations
- GreeceUnited StatesGermany
In The Last Decade
George Kollias
302 papers receiving 29.6k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Immunology 10.9k
- Rheumatology 5.0k
- Neurology 2.4k
- Cancer Research 3.5k
- Oncology 5.6k
Countries citing papers authored by George Kollias
This map shows the geographic impact of George Kollias'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 George Kollias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Kollias more than expected).
Fields of papers citing papers by George Kollias
This network shows the impact of papers produced by George Kollias. 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 George Kollias. The network helps show where George Kollias may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George Kollias, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 7 | |
| 6 | 2020 | 31 | |
| 7 | 2019 | 25 | |
| 8 | 2014 | 64 | |
| 9 | 2014 | 19 | |
| 10 | 2012 | 136 | |
| 11 | 2012 | 21 | |
| 12 | 2009 | 161 | |
| 13 | Onset and Progression in Inherited ALS Determined by Motor Neurons and Microgliabreakdown → | 2006 | 1265 |
| 14 | 2002 | 29 | |
| 15 | 2002 | 400 | |
| 16 | 1999 | 32 | |
| 17 | 1999 | 2 | |
| 18 | transgenic mice expressing high levels of the human HSP70 have improved post-ischemic myocardial recovery | 1994 | 2 |
| 19 | Transgenic mice expressing the human HSP70 have improved post-ischemic myocardial recovery | 1994 | 10 |
| 20 | 1975 | 7 |
About George Kollias
George Kollias is a scholar working on Immunology, Rheumatology and Oncology, having authored 306 papers that have together received 30.3k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (50 papers), Immune Response and Inflammation (48 papers), Cytokine Signaling Pathways and Interactions (42 papers), NF-κB Signaling Pathways (30 papers), Bone Metabolism and Diseases (29 papers), Immunotherapy and Immune Responses (27 papers), T-cell and B-cell Immunology (25 papers) and Immune Cell Function and Interaction (22 papers). The work is most often cited by research in Immunology (10.9k citations), Rheumatology (5.0k citations) and Neurology (2.4k citations). George Kollias has collaborated with scholars based in Greece, United States and Germany. Frequent co-authors include Manolis Pasparakis, Dimitris L. Kontoyiannis, Lesley Probert, Frank Grosveld, George Kassiotis, Lena Alexopoulou, David R. Greaves, Eleni Douni, Marietta Armaka and Spiros Georgopoulos. Their work appears in journals such as Science, Cell 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.