Hans J. Stauss
- Immunology top 0.5%
- Immunotherapy and Immune Responses 76
- Immune Cell Function and Interaction 61
- T-cell and B-cell Immunology 41
- Oncology top 0.5%
- CAR-T cell therapy research 67
- Cancer Immunotherapy and Biomarkers 7
- Hematology top 2%
- Genetics top 1%
- Virus-based gene therapy research 25
- Transplantation top 5%
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- Renal and related cancers 19
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- Cytomegalovirus and herpesvirus research 7
- Co-authors
- Emma MorrisShao‐An XueElena SadovnikovaLiquan GaoAngelika HollerJohn M. GoldmanSharyn ThomasGraham P. Wright
- Cited by
- ImmunologyOncologyHematology
- Journals
- Proceedings of the National Academy of Sciences (5 papers)The Lancet (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Hans J. Stauss
135 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 108
- Immunology 3.6k
- Oncology 2.9k
- Hematology 480
- Genetics 1.2k
- Transplantation 104
Countries citing papers authored by Hans J. Stauss
This map shows the geographic impact of Hans J. Stauss'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 Hans J. Stauss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans J. Stauss more than expected).
Fields of papers citing papers by Hans J. Stauss
This network shows the impact of papers produced by Hans J. Stauss. 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 Hans J. Stauss. The network helps show where Hans J. Stauss may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hans J. Stauss, 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 | 2023 | 8 | |
| 2 | 2022 | 15 | |
| 3 | 2021 | 27 | |
| 4 | 2021 | 31 | |
| 5 | 2019 | 56 | |
| 6 | 2018 | 2 | |
| 7 | 2017 | 71 | |
| 8 | 2016 | 19 | |
| 9 | 2015 | 19 | |
| 10 | 2015 | 15 | |
| 11 | 2010 | 166 | |
| 12 | 2009 | 177 | |
| 13 | 2008 | 5 | |
| 14 | 2008 | 228 | |
| 15 | 2007 | 66 | |
| 16 | 2007 | 7 | |
| 17 | 2004 | 6 | |
| 18 | 1998 | 2 | |
| 19 | 1998 | 86 | |
| 20 | 1988 | 68 |
About Hans J. Stauss
Hans J. Stauss is a scholar working on Immunology, Oncology and Transplantation, having authored 136 papers that have together received 5.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (76 papers), CAR-T cell therapy research (67 papers), Immune Cell Function and Interaction (61 papers), T-cell and B-cell Immunology (41 papers), Virus-based gene therapy research (25 papers), Renal and related cancers (19 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Cytomegalovirus and herpesvirus research (7 papers). The work is most often cited by research in Immunology (3.6k citations), Oncology (2.9k citations) and Hematology (480 citations). Hans J. Stauss has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Emma Morris, Shao‐An Xue, Elena Sadovnikova, Liquan Gao, Angelika Holler, John M. Goldman, Sharyn Thomas, Graham P. Wright, Ilaria Bellantuono and Gavin Bendle. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.