Ines Gütgemann
- Immunology top 2%
- Immunotherapy and Immune Responses 9
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 4
- Oncology top 2%
- CAR-T cell therapy research 5
- Cancer Research top 5%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 7
- Cancer-related gene regulation 6
- Genomics and Chromatin Dynamics 5
- Hematology top 5%
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- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Co-authors
- Dean W. FelsherMartin EilersStephanie C. CaseyArvin M. GouwVirginie BaylotSusanne WalzLing TongKelly N. Fitzgerald
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Ines Gütgemann
57 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Immunology 1.2k
- Oncology 1.1k
- Cancer Research 368
- Molecular Biology 1.3k
- Hematology 181
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2020 | 9 | |
| 4 | 2019 | 1 | |
| 5 | Anämie im Alter – ein geriatrisches Syndrom?: Zweites Positionspapier zur Anämie im Alter der AG Anämie der Deutschen Gesellschaft für Geriatrie | 2018 | 2 |
| 6 | MYC regulates the antitumor immune response through CD47 and PD-L1breakdown → | 2016 | 1018 |
| 7 | 2014 | 16 | |
| 8 | 2014 | 3 | |
| 9 | 2013 | 81 | |
| 10 | 2013 | 2 | |
| 11 | 2009 | 10 | |
| 12 | 2009 | 151 | |
| 13 | 2009 | 76 | |
| 14 | 2008 | 13 | |
| 15 | 2007 | 20 | |
| 16 | 2005 | 111 | |
| 17 | 2005 | 24 | |
| 18 | 2002 | 9 | |
| 19 | 1998 | 182 | |
| 20 | 1996 | 50 |
About Ines Gütgemann
Ines Gütgemann is a scholar working on Genetics, Immunology, Hematology, Oncology and Nephrology, having authored 60 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Epigenetics and DNA Methylation (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Cancer-related gene regulation (6 papers), T-cell and B-cell Immunology (6 papers), Genomics and Chromatin Dynamics (5 papers), CAR-T cell therapy research (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (1.1k citations), Cancer Research (368 citations), Molecular Biology (1.3k citations) and Hematology (181 citations). Ines Gütgemann has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Dean W. Felsher, Martin Eilers, Stephanie C. Casey, Arvin M. Gouw, Virginie Baylot, Susanne Walz, Ling Tong, Kelly N. Fitzgerald, 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 Science.
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.