Daniela Eggle
Impact in
- Biological Psychiatry top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation
- Protease and Inhibitor Mechanisms
Papers in
-
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 3
-
- Protease and Inhibitor Mechanisms 1
- Co-authors
- Stefan Klostermann (6 shared papers)Ulrich H. Weidle (4 shared papers)Joachim Ludwig Schultze (11 shared papers)Svenja Debey‐Pascher (8 shared papers)Guido W.M. Swart (1 shared paper)Werner Scheuer (1 shared paper)Hannes S. J. Stockinger (1 shared paper)Julia Driesen (2 shared papers)
- Journals
- Blood (2 papers)Journal of Clinical Investigation (1 paper)BMC Bioinformatics (1 paper)Microbial Biotechnology (1 paper)Database (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniela Eggle
19 papers receiving 966 citations
Peers
Comparison fields: 5 of 76
- Biological Psychiatry 29
- Cancer Research 193
- Immunology 185
- Immunology and Allergy 33
- Oncology 145
Countries citing papers authored by Daniela Eggle
This map shows the geographic impact of Daniela Eggle'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 Daniela Eggle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Eggle more than expected).
Fields of papers citing papers by Daniela Eggle
This network shows the impact of papers produced by Daniela Eggle. 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 Daniela Eggle. The network helps show where Daniela Eggle may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Eggle, 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 | Cancer-related issues of CD147. | 2010 | 152 |
| 2 | 2009 | 132 | |
| 3 | 2006 | 125 | |
| 4 | ALCAM/CD166: cancer-related issues. | 2011 | 125 |
| 5 | 2007 | 70 | |
| 6 | 2009 | 68 | |
| 7 | Interleukin 6/interleukin 6 receptor interaction and its role as a therapeutic target for treatment of cachexia and cancer. | 2011 | 57 |
| 8 | L1-CAM as a target for treatment of cancer with monoclonal antibodies. | 2009 | 41 |
| 9 | 2007 | 36 | |
| 10 | 2010 | 28 | |
| 11 | 2010 | 28 | |
| 12 | 2004 | 26 | |
| 13 | 2009 | 23 | |
| 14 | 2010 | 17 | |
| 15 | 2007 | 15 | |
| 16 | 2010 | 13 | |
| 17 | 2009 | 12 | |
| 18 | 2010 | 11 | |
| 19 | 2009 | 4 |
About Daniela Eggle
Daniela Eggle is a scholar working on Immunology, Cancer Research, Immunology and Allergy, Molecular Biology and Oncology, having authored 19 papers that have together received 983 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Gene expression and cancer classification (3 papers), Immunotherapy and Immune Responses (3 papers), Cell Adhesion Molecules Research (2 papers), TGF-β signaling in diseases (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Protease and Inhibitor Mechanisms (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Biological Psychiatry (29 citations), Cancer Research (193 citations), Immunology (185 citations), Immunology and Allergy (33 citations) and Oncology (145 citations). Daniela Eggle has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefan Klostermann, Ulrich H. Weidle, Joachim Ludwig Schultze, Svenja Debey‐Pascher, Guido W.M. Swart, Werner Scheuer, Hannes S. J. Stockinger, Julia Driesen, Sabine Claßen and Achim Krüger. Their work appears in journals such as Blood, Journal of Clinical Investigation, BMC Bioinformatics, Microbial Biotechnology and Database.
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.