Corinna Eichelser
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
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- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA modifications and cancer
Papers in
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- MicroRNA in disease regulation 2
- Cancer Genomics and Diagnostics 1
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- Circular RNAs in diseases 1
- Biomedical Text Mining and Ontologies 1
- Extracellular vesicles in disease 1
- Co-authors
- Heidi Schwarzenbach (4 shared papers)Klaus Pantel (4 shared papers)Karin Milde‐Langosch (1 shared paper)Volkmar Müller (1 shared paper)Harriet Wikman (1 shared paper)Dieter Flesch‐Janys (1 shared paper)Jenny C. Chang (1 shared paper)Wolfgang Janni (1 shared paper)
- Journals
- Clinical Chemistry (1 paper)Clinical Cancer Research (1 paper)BMC Cancer (1 paper)Oncotarget (1 paper)Studies in health technology and informatics (1 paper)
- Partner nations
- GermanyNetherlandsIreland
In The Last Decade
Corinna Eichelser
5 papers receiving 541 citations
Peers
Comparison fields: 5 of 38
- Cancer Research 442
- Molecular Biology 436
- Oncology 56
- Immunology and Allergy 6
- Immunology 21
Countries citing papers authored by Corinna Eichelser
This map shows the geographic impact of Corinna Eichelser'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 Corinna Eichelser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corinna Eichelser more than expected).
Fields of papers citing papers by Corinna Eichelser
This network shows the impact of papers produced by Corinna Eichelser. 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 Corinna Eichelser. The network helps show where Corinna Eichelser may publish in the future.
Co-authors
The 15 scholars most cited alongside Corinna Eichelser, 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 | 2014 | 316 | |
| 2 | 2013 | 167 | |
| 3 | 2012 | 55 | |
| 4 | 2014 | 14 | |
| 5 | 2019 | 1 |
About Corinna Eichelser
Corinna Eichelser is a scholar working on Cancer Research, Molecular Biology, Information Systems and Management, Artificial Intelligence and Immunology, having authored 5 papers that have together received 553 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Circular RNAs in diseases (1 paper), Scientific Computing and Data Management (1 paper), Biomedical Text Mining and Ontologies (1 paper), Cancer Genomics and Diagnostics (1 paper), Immunotherapy and Immune Responses (1 paper), Extracellular vesicles in disease (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Cancer Research (442 citations), Molecular Biology (436 citations), Oncology (56 citations), Immunology and Allergy (6 citations) and Immunology (21 citations). Corinna Eichelser has collaborated with scholars based in Germany, Netherlands and Ireland. Frequent co-authors include Heidi Schwarzenbach, Klaus Pantel, Karin Milde‐Langosch, Volkmar Müller, Harriet Wikman, Dieter Flesch‐Janys, Jenny C. Chang, Wolfgang Janni, Brigitte Rack and Dmitri Loukinov. Their work appears in journals such as Clinical Chemistry, Clinical Cancer Research, BMC Cancer, Oncotarget and Studies in health technology and informatics.
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.