Anne Katrin Berger
Impact in
- Oncology top 0.05%
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
- CAR-T cell therapy research
- Immunology top 0.1%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Co-authors
- Franck Pagès (20 shared papers)Jérôme Galon (16 shared papers)Bernhard Mlecnik (13 shared papers)Amos Kirilovsky (13 shared papers)Wolf H. Fridman (15 shared papers)Patrick Bruneval (9 shared papers)Marie Tosolini (9 shared papers)Zlatko Trajanoski (8 shared papers)
In The Last Decade
Anne Katrin Berger
155 papers receiving 26.6k citations
Anne Katrin Berger's Hit Papers
Peers
Comparison fields: 5 of 170
- Oncology 14.0k
- Immunology 8.7k
- Cancer Research 2.8k
- Pathology and Forensic Medicine 2.4k
- Pulmonary and Respiratory Medicine 3.2k
Countries citing papers authored by Anne Katrin Berger
This map shows the geographic impact of Anne Katrin Berger'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 Anne Katrin Berger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Katrin Berger more than expected).
Fields of papers citing papers by Anne Katrin Berger
This network shows the impact of papers produced by Anne Katrin Berger. 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 Anne Katrin Berger. The network helps show where Anne Katrin Berger may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Katrin Berger, 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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome Hit paper breakdown → | 2006 | 5327 |
| 2 | Spatiotemporal Dynamics of Intratumoral Immune Cells Reveal the Immune Landscape in Human Cancer Hit paper breakdown → | 2013 | 3259 |
| 3 | Effector Memory T Cells, Early Metastasis, and Survival in Colorectal Cancer Hit paper breakdown → | 2005 | 1779 |
| 4 | International validation of the consensus Immunoscore for the classification of colon cancer: a prognostic and accuracy study Hit paper breakdown → | 2018 | 1627 |
| 5 | Towards the introduction of the ‘Immunoscore’ in the classification of malignant tumours Hit paper breakdown → | 2013 | 1151 |
| 6 | Gene Expression Classification of Colon Cancer into Molecular Subtypes: Characterization, Validation, and Prognostic Value Hit paper breakdown → | 2013 | 1132 |
| 7 | The Medicago genome provides insight into the evolution of rhizobial symbioses Hit paper breakdown → | 2011 | 1025 |
| 8 | VEGF-A modulates expression of inhibitory checkpoints on CD8+ T cells in tumors Hit paper breakdown → | 2015 | 998 |
| 9 | Clinical Impact of Different Classes of Infiltrating T Cytotoxic and Helper Cells (Th1, Th2, Treg, Th17) in Patients with Colorectal Cancer Hit paper breakdown → | 2011 | 970 |
| 10 | Histopathologic-Based Prognostic Factors of Colorectal Cancers Are Associated With the State of the Local Immune Reaction Hit paper breakdown → | 2011 | 854 |
| 11 | Integrative Analyses of Colorectal Cancer Show Immunoscore Is a Stronger Predictor of Patient Survival Than Microsatellite Instability Hit paper breakdown → | 2016 | 827 |
| 12 | In Situ Cytotoxic and Memory T Cells Predict Outcome in Patients With Early-Stage Colorectal Cancer Hit paper breakdown → | 2009 | 794 |
| 13 | Cancer classification using the Immunoscore: a worldwide task force Hit paper breakdown → | 2012 | 687 |
| 14 | 2016 | 388 | |
| 15 | Effect of Interval (7 or 11 weeks) Between Neoadjuvant Radiochemotherapy and Surgery on Complete Pathologic Response in Rectal Cancer: A Multicenter, Randomized, Controlled Trial (GRECCAR-6) Hit paper breakdown → | 2016 | 349 |
| 16 | 2014 | 309 | |
| 17 | 2009 | 276 | |
| 18 | 2009 | 253 | |
| 19 | 2002 | 251 | |
| 20 | 2004 | 250 |
About Anne Katrin Berger
Anne Katrin Berger is a scholar working on Oncology, Surgery, Gastroenterology, Immunology and Pulmonary and Respiratory Medicine, having authored 159 papers that have together received 27.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (24 papers), Colorectal Cancer Surgical Treatments (18 papers), Immunotherapy and Immune Responses (11 papers), Gastrointestinal Tumor Research and Treatment (9 papers), Immune Cell Function and Interaction (9 papers), Gastric Cancer Management and Outcomes (9 papers), Genetic factors in colorectal cancer (8 papers) and Pancreatic and Hepatic Oncology Research (7 papers). The work is most often cited by research in Oncology (14.0k citations), Immunology (8.7k citations), Cancer Research (2.8k citations), Pathology and Forensic Medicine (2.4k citations) and Pulmonary and Respiratory Medicine (3.2k citations). Anne Katrin Berger has collaborated with scholars based in France, Germany and Austria. Frequent co-authors include Franck Pagès, Jérôme Galon, Bernhard Mlecnik, Amos Kirilovsky, Wolf H. Fridman, Patrick Bruneval, Marie Tosolini, Zlatko Trajanoski, Paul‐Henri Cugnenc and Franck Zinzindohoué. Their work appears in journals such as International Journal of Cancer, Clinical Cancer Research, Diseases of the Colon & Rectum, The American Journal of Gastroenterology and Journal of Clinical Oncology.
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.