Cornelia Epplen

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

Cornelia Epplen

26 papers receiving 829 citations

Peers

Cornelia Epplen
Comparison fields: 5 of 91
  • Developmental Biology 74
  • Immunology 209
  • Social Psychology 167
  • Genetics 171
  • Ecology, Evolution, Behavior and Systematics 107
Replace Kristin M. Abbott with:
Kristin M. Abbott Netherlands
Jörg Schmidtke Germany
Linda M. Pasztor United States
A F Parlow United States
Jacquelyn A. Dieter United States
J. Schmitt Germany
Ernesto Lowy Spain
Julio C. Ruiz United States
Lydia E. Brownhill United States
Hui Yao China
Cornelia Epplen relative to Kristin M. Abbott Netherlands Kristin M. Abbott's profile →
Citations per field
00.5×2.8×
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-authorship network

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
#Work
1 199923
2 199951
3 199934
4 199834
5 199848
6 1997114
7 199735
8 199799
9 199712
10 19965
11 19959
12 19954
13 199435
14 199411
15 199329
16 199350
17 19938
18 199211
19 19922
20 19923

About Cornelia Epplen

Cornelia Epplen is a scholar working on Developmental Biology, Immunology, Physiology, Pathology and Forensic Medicine and Molecular Biology, 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), Genomics and Chromatin Dynamics (2 papers), Multiple Sclerosis Research Studies (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Developmental Biology (74 citations), Immunology (209 citations), Social Psychology (167 citations), Genetics (171 citations) and Ecology, Evolution, Behavior and Systematics (107 citations). Cornelia Epplen has collaborated with scholars based in Germany, South Africa and New Zealand. Frequent co-authors include Jörg T. Epplen, Paul Winkler, Carola Borries, Eduardo José Melo dos Santos, Gabriele Dodt, Andreas Beyer, E. Becker, André Pawlak, Wolf‐H. Kunau and Maria Gomolka. Their work appears in journals such as Electrophoresis, Human Genetics, Molecular Carcinogenesis, Nature Genetics and Gene.

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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