Kai Hildner
- Immunology top 0.5%
- T-cell and B-cell Immunology 20
- Immune Cell Function and Interaction 19
- Immunotherapy and Immune Responses 10
- IL-33, ST2, and ILC Pathways 9
- Psoriasis: Treatment and Pathogenesis 5
- Oncology top 2%
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 7
- Genetics top 2%
- Inflammatory Bowel Disease 14
- Transplantation top 5%
-
- Lung Cancer Diagnosis and Treatment 4
- Co-authors
- Kenneth M. MurphyBrian T. EdelsonTheresa L. MurphyMasako KohyamaBarbara U. SchramlEmil R. UnanueMarkus F. NeurathRobert D. Schreiber
- Cited by
- ImmunologyOncologyHematology
- Journals
- Frontiers in Immunology (6 papers)The Journal of Immunology (5 papers)Annals of the New York Academy of Sciences (4 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Kai Hildner
56 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology 4.3k
- Oncology 1.2k
- Hematology 380
- Genetics 889
- Transplantation 61
Countries citing papers authored by Kai Hildner
This map shows the geographic impact of Kai Hildner'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 Kai Hildner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Hildner more than expected).
Fields of papers citing papers by Kai Hildner
This network shows the impact of papers produced by Kai Hildner. 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 Kai Hildner. The network helps show where Kai Hildner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Hildner, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2019 | 8 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 30 | |
| 10 | 2018 | 184 | |
| 11 | 2015 | 56 | |
| 12 | 2013 | 40 | |
| 13 | 2011 | 146 | |
| 14 | 2011 | 95 | |
| 15 | 2009 | 466 | |
| 16 | Batf3 Deficiency Reveals a Critical Role for CD8α + Dendritic Cells in Cytotoxic T Cell Immunitybreakdown → | 2008 | 1543 |
| 17 | 2007 | 54 | |
| 18 | 2005 | 44 | |
| 19 | CD28-dependent Rac1 activation is the molecular target of azathioprine in primary human CD4+ T lymphocytesbreakdown → | 2003 | 634 |
| 20 | 1998 | 21 |
About Kai Hildner
Kai Hildner is a scholar working on Immunology, Hematology, Biophysics, Genetics and Genetics, having authored 58 papers that have together received 6.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (19 papers), Inflammatory Bowel Disease (14 papers), Immunotherapy and Immune Responses (10 papers), IL-33, ST2, and ILC Pathways (9 papers), Hematopoietic Stem Cell Transplantation (7 papers), Psoriasis: Treatment and Pathogenesis (5 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Immunology (4.3k citations), Oncology (1.2k citations), Hematology (380 citations), Genetics (889 citations) and Transplantation (61 citations). Kai Hildner has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Kenneth M. Murphy, Brian T. Edelson, Theresa L. Murphy, Masako Kohyama, Barbara U. Schraml, Emil R. Unanue, Markus F. Neurath, Robert D. Schreiber, Whitney E. Purtha and Boris Calderón. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Annals of the New York Academy of Sciences, Gastroenterology and Journal of Clinical Investigation.
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.