Cornelia Epplen
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
-
- T-cell and B-cell Immunology
Papers in
- Immunology 11
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 3
- Galectins and Cancer Biology 2
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- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 6
- Co-authors
- Jörg T. Epplen (20 shared papers)Paul Winkler (3 shared papers)Carola Borries (2 shared papers)Andreas Beyer (1 shared paper)André Pawlak (1 shared paper)Eduardo José Melo dos Santos (3 shared papers)E. Becker (1 shared paper)Gabriele Dodt (1 shared paper)
- Journals
- Electrophoresis (10 papers)Human Genetics (3 papers)Mammalian Genome (1 paper)Immunogenetics (1 paper)Human Heredity (1 paper)
- Partner nations
- GermanySwitzerlandBelgium
In The Last Decade
Cornelia Epplen
27 papers receiving 879 citations
Peers
Comparison fields: 5 of 92
- Developmental Biology 78
- Immunology 188
- Social Psychology 189
- Genetics 180
- Ecology, Evolution, Behavior and Systematics 122
Countries citing papers authored by Cornelia Epplen
This map shows the geographic impact of Cornelia Epplen'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 Cornelia Epplen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelia Epplen more than expected).
Fields of papers citing papers by Cornelia Epplen
This network shows the impact of papers produced by Cornelia Epplen. 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 Cornelia Epplen. The network helps show where Cornelia Epplen may publish in the future.
Co-authors
The 25 scholars most cited alongside Cornelia Epplen, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 123 | |
| 2 | 1999 | 113 | |
| 3 | 1997 | 108 | |
| 4 | 1999 | 75 | |
| 5 | 1998 | 61 | |
| 6 | 1993 | 53 | |
| 7 | 1999 | 52 | |
| 8 | 1998 | 49 | |
| 9 | 1997 | 38 | |
| 10 | 1994 | 37 | |
| 11 | 1998 | 36 | |
| 12 | 1999 | 36 | |
| 13 | 1993 | 30 | |
| 14 | 1999 | 23 | |
| 15 | 1992 | 13 | |
| 16 | 1997 | 12 | |
| 17 | 1994 | 12 | |
| 18 | 1995 | 9 | |
| 19 | 1995 | 8 | |
| 20 | 1999 | 8 |
About Cornelia Epplen
Cornelia Epplen is a scholar working on Immunology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Surgery, having authored 27 papers that have together received 928 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (6 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Galectins and Cancer Biology (2 papers), Neuroendocrine regulation and behavior (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Developmental Biology (78 citations), Immunology (188 citations), Social Psychology (189 citations), Genetics (180 citations) and Ecology, Evolution, Behavior and Systematics (122 citations). Cornelia Epplen has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Jörg T. Epplen, Paul Winkler, Carola Borries, Andreas Beyer, André Pawlak, Eduardo José Melo dos Santos, E. Becker, Gabriele Dodt, Wolf‐H. Kunau and Maria Gomolka. Their work appears in journals such as Electrophoresis, Human Genetics, Mammalian Genome, Immunogenetics and Human Heredity.
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.