Daniela Eggle
Impact in
- Biological Psychiatry top 10%
- Immunology top 10%
- Immune Cell Function and Interaction
- Galectins and Cancer Biology
- Immunotherapy and Immune Responses
Papers in
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- Molecular Biology Techniques and Applications 4
- Gene expression and cancer classification 3
- Single-cell and spatial transcriptomics 2
- TGF-β signaling in diseases 2
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- NF-κB Signaling Pathways 3
- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Stefan Klostermann (6 shared papers)Ulrich H. Weidle (4 shared papers)Joachim L. Schultze (11 shared papers)Hannes Stockinger (1 shared paper)Werner Scheuer (1 shared paper)Svenja Debey‐Pascher (8 shared papers)Guido W.M. Swart (1 shared paper)Alexey Popov (4 shared papers)
- Journals
- Blood (2 papers)Cancer Research (1 paper)Gastroenterology (1 paper)Microbial Biotechnology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniela Eggle
19 papers receiving 897 citations
Peers
Comparison fields: 5 of 104
- Biological Psychiatry 57
- Immunology 315
- Cancer Research 211
- Behavioral Neuroscience 31
- Oncology 225
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 | 150 |
| 2 | 2006 | 121 | |
| 3 | 2009 | 118 | |
| 4 | ALCAM/CD166: cancer-related issues. | 2011 | 113 |
| 5 | 2007 | 66 | |
| 6 | 2009 | 57 | |
| 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 | 38 |
| 9 | 2007 | 32 | |
| 10 | 2010 | 24 | |
| 11 | 2004 | 23 | |
| 12 | 2010 | 22 | |
| 13 | 2009 | 20 | |
| 14 | 2010 | 17 | |
| 15 | 2010 | 13 | |
| 16 | 2009 | 12 | |
| 17 | 2007 | 12 | |
| 18 | 2010 | 11 | |
| 19 | 2009 | 4 |
About Daniela Eggle
Daniela Eggle is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Pathology and Forensic Medicine, having authored 19 papers that have together received 910 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (4 papers), NF-κB Signaling Pathways (3 papers), Gene expression and cancer classification (3 papers), Single-cell and spatial transcriptomics (2 papers), MicroRNA in disease regulation (2 papers), TGF-β signaling in diseases (2 papers), Cell Adhesion Molecules Research (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Biological Psychiatry (57 citations), Immunology (315 citations), Cancer Research (211 citations), Behavioral Neuroscience (31 citations) and Oncology (225 citations). Daniela Eggle has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stefan Klostermann, Ulrich H. Weidle, Joachim L. Schultze, Hannes Stockinger, Werner Scheuer, Svenja Debey‐Pascher, Guido W.M. Swart, Alexey Popov, Sabine Claßen and Julia Driesen. Their work appears in journals such as Blood, Cancer Research, Gastroenterology, Microbial Biotechnology and BMC Bioinformatics.
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.