Cornelia Epplen

1.1k citations
26 papers · 854 · h-index 14

Impact in

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 3
    • Galectins and Cancer Biology 2
    • RNA and protein synthesis mechanisms 6
    • RNA Research and Splicing 5

Cornelia Epplen

26 papers receiving 829 citations

Peers

Cornelia Epplen
Comparison fields: 5 of 90
  • Developmental Biology 74
  • Immunology 184
  • Social Psychology 166
  • Genetics 167
  • Ecology, Evolution, Behavior and Systematics 105
Replace Kristin M. Abbott with:
Kristin M. Abbott Netherlands
Jörg Schmidtke Germany
Linda M. Pasztor United States
J. Schmitt Germany
Lydia E. Brownhill United States
A F Parlow United States
Ernesto Lowy Spain
Julio C. Ruiz United States
Jacquelyn A. Dieter United States
W.W. Socha United States
Cornelia Epplen relative to Kristin M. Abbott Netherlands Kristin M. Abbott's profile →
Citations per field
00.5×2.6×
Kristin M. Abbott · 1×
Citations per year

Countries citing papers authored by Cornelia Epplen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cornelia Epplen Line = papers co-authored together Cornelia Epplen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997114
2 1999105
3 199799
4 199960
5 199951
6 199851
7 199351
8 199848
9 199735
10 199435
11 199834
12 199934
13 199329
14 199923
15 199712
16 199211
17 199411
18 19959
19 19958
20 19998

About Cornelia Epplen

Cornelia Epplen is a scholar working on Immunology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Surgery, having authored 26 papers that have together received 854 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), RNA and protein synthesis mechanisms (6 papers), RNA Research and Splicing (5 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 (74 citations), Immunology (184 citations), Social Psychology (166 citations), Genetics (167 citations) and Ecology, Evolution, Behavior and Systematics (105 citations). Cornelia Epplen has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Jörg T. Epplen, Paul Winkler, Carola Borries, Eduardo José Melo dos Santos, André Pawlak, E. Becker, Andreas Beyer, Gabriele Dodt, Wolf‐H. Kunau and Maria Gomolka. Their work appears in journals such as Electrophoresis, Human Genetics, Gene, Journal of Interferon & Cytokine Research and Immunobiology.

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.

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