Thomas Hünig
Impact in
- Immunology top 0.5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Immunology 116
- T-cell and B-cell Immunology 95
- Immune Cell Function and Interaction 87
- Immunotherapy and Immune Responses 43
- Immune Response and Inflammation 10
- Virology 5
- HIV Research and Treatment 5
- Co-authors
- Anneliese SchimplIvan D. HorakHubert SchorleThomas KerkauJordan HartleyGeorg TiefenthalerHans‐Joachim WallnyChia‐Huey Lin
- Journals
- European Journal of Immunology (34 papers)The Journal of Immunology (12 papers)The Journal of Experimental Medicine (9 papers)Blood (5 papers)PLoS ONE (5 papers)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Thomas Hünig
137 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 4.3k
- Neurology 360
- Oncology 1.1k
- Virology 184
- Immunology and Allergy 229
Countries citing papers authored by Thomas Hünig
This map shows the geographic impact of Thomas Hünig'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 Thomas Hünig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hünig more than expected).
Fields of papers citing papers by Thomas Hünig
This network shows the impact of papers produced by Thomas Hünig. 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 Thomas Hünig. The network helps show where Thomas Hünig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Hünig, 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 | 2016 | 33 | |
| 2 | 2011 | 106 | |
| 3 | 2011 | 50 | |
| 4 | 2010 | 164 | |
| 5 | 2010 | 11 | |
| 6 | 2008 | 24 | |
| 7 | 2007 | 34 | |
| 8 | 2006 | 17 | |
| 9 | 2006 | 32 | |
| 10 | 2005 | 13 | |
| 11 | 2003 | 49 | |
| 12 | 2003 | 52 | |
| 13 | 2002 | 18 | |
| 14 | 2001 | 3 | |
| 15 | 1996 | 18 | |
| 16 | 1995 | 118 | |
| 17 | 1994 | 59 | |
| 18 | 1994 | 59 | |
| 19 | 1993 | 18 | |
| 20 | 1985 | 99 |
About Thomas Hünig
Thomas Hünig is a scholar working on Immunology, Virology, Oncology, Immunology and Allergy and Neurology, having authored 137 papers that have together received 5.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (95 papers), Immune Cell Function and Interaction (87 papers), Immunotherapy and Immune Responses (43 papers), CAR-T cell therapy research (21 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Immune Response and Inflammation (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Immunology (4.3k citations), Neurology (360 citations), Oncology (1.1k citations), Virology (184 citations) and Immunology and Allergy (229 citations). Thomas Hünig has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Anneliese Schimpl, Ivan D. Horak, Hubert Schorle, Thomas Kerkau, Jordan Hartley, Georg Tiefenthaler, Hans‐Joachim Wallny, Chia‐Huey Lin, Niklas Beyersdorf and Thomas Hanke. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, The Journal of Experimental Medicine, Blood and PLoS ONE.
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.