Eva Gottfried
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 10
- Immunology top 1%
- Immune cells in cancer 12
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Biological Psychiatry top 5%
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 3
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 3
- Metabolism, Diabetes, and Cancer 3
- Co-authors
- Marina KreutzReinhard AndreesenAndréas MackensenLeoni A. Kunz‐SchughartSabine HovesKathrin RennerBirgit TimischlStefan W. Krause
- Journals
- International Journal of Cancer (3 papers)European Journal of Immunology (3 papers)Blood (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Eva Gottfried
31 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 1.6k
- Immunology 1.8k
- Biological Psychiatry 107
- Oncology 1.1k
- Molecular Biology 1.9k
Countries citing papers authored by Eva Gottfried
This map shows the geographic impact of Eva Gottfried'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 Eva Gottfried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Gottfried more than expected).
Fields of papers citing papers by Eva Gottfried
This network shows the impact of papers produced by Eva Gottfried. 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 Eva Gottfried. The network helps show where Eva Gottfried may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva Gottfried, 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 | 2018 | 13 | |
| 2 | 2016 | 47 | |
| 3 | 2013 | 90 | |
| 4 | 2012 | 92 | |
| 5 | 2011 | 256 | |
| 6 | 2011 | 127 | |
| 7 | 2011 | 67 | |
| 8 | 2011 | 23 | |
| 9 | 2010 | 24 | |
| 10 | 2010 | 63 | |
| 11 | 2010 | 127 | |
| 12 | 2009 | 61 | |
| 13 | 2009 | 323 | |
| 14 | 2008 | 195 | |
| 15 | 2006 | 78 | |
| 16 | [The "classical" macrophage marker CD68 is strongly expressed in primary human fibroblasts]. | 2003 | 28 |
| 17 | 2003 | 20 | |
| 18 | 1998 | 1 | |
| 19 | 1998 | 35 | |
| 20 | 1995 | 85 |
About Eva Gottfried
Eva Gottfried is a scholar working on Immunology, Cancer Research, Biological Psychiatry, Physiology and Oncology, having authored 31 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immune cells in cancer (12 papers), Cancer, Hypoxia, and Metabolism (10 papers), Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), T-cell and B-cell Immunology (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Cancer Research (1.6k citations), Immunology (1.8k citations), Biological Psychiatry (107 citations), Oncology (1.1k citations) and Molecular Biology (1.9k citations). Eva Gottfried has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Marina Kreutz, Reinhard Andreesen, Andréas Mackensen, Leoni A. Kunz‐Schughart, Sabine Hoves, Kathrin Renner, Birgit Timischl, Stefan W. Krause, Petra Hoffmann and Matthias Edinger. Their work appears in journals such as International Journal of Cancer, European Journal of Immunology, Blood, Immunobiology and Scandinavian Journal of Immunology.
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.