Ines Gütgemann
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 17
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 5
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- Epigenetics and DNA Methylation 7
- Co-authors
- Dean W. Felsher (2 shared papers)Martin Eilers (1 shared paper)Kelly N. Fitzgerald (1 shared paper)Virginie Baylot (1 shared paper)Ling Tong (1 shared paper)Arvin M. Gouw (1 shared paper)Stephanie C. Casey (1 shared paper)Susanne Walz (1 shared paper)
- Journals
- Human Pathology (5 papers)Cancers (4 papers)Histopathology (3 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (3 papers)Blood (2 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Ines Gütgemann
59 papers receiving 3.1k citations
Ines Gütgemann's Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 1.1k
- Oncology 989
- Cancer Research 320
- Molecular Biology 1.2k
- Hematology 167
Countries citing papers authored by Ines Gütgemann
This map shows the geographic impact of Ines Gütgemann'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 Ines Gütgemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ines Gütgemann more than expected).
Fields of papers citing papers by Ines Gütgemann
This network shows the impact of papers produced by Ines Gütgemann. 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 Ines Gütgemann. The network helps show where Ines Gütgemann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ines Gütgemann, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MYC regulates the antitumor immune response through CD47 and PD-L1 Hit paper breakdown → | 2016 | 1056 |
| 2 | 1998 | 192 | |
| 3 | 2009 | 177 | |
| 4 | 2000 | 162 | |
| 5 | 2008 | 132 | |
| 6 | 2005 | 114 | |
| 7 | 1994 | 88 | |
| 8 | 2009 | 85 | |
| 9 | 2013 | 82 | |
| 10 | 2014 | 82 | |
| 11 | 2006 | 81 | |
| 12 | 2011 | 79 | |
| 13 | 2019 | 60 | |
| 14 | 2013 | 54 | |
| 15 | 1996 | 50 | |
| 16 | 2006 | 45 | |
| 17 | 2011 | 44 | |
| 18 | 2008 | 43 | |
| 19 | 2012 | 42 | |
| 20 | 2008 | 41 |
About Ines Gütgemann
Ines Gütgemann is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Hematology, having authored 60 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Epigenetics and DNA Methylation (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), T-cell and B-cell Immunology (5 papers), Hemoglobinopathies and Related Disorders (4 papers), CAR-T cell therapy research (4 papers), Dialysis and Renal Disease Management (3 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (989 citations), Cancer Research (320 citations), Molecular Biology (1.2k citations) and Hematology (167 citations). Ines Gütgemann has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Dean W. Felsher, Martin Eilers, Kelly N. Fitzgerald, Virginie Baylot, Ling Tong, Arvin M. Gouw, Stephanie C. Casey, Susanne Walz, Yulin Li and Aude M. Fahrer. Their work appears in journals such as Human Pathology, Cancers, Histopathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Blood.
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.