Conny Epplen

1.2k citations
28 papers · 1.1k · h-index 17

Impact in

    • Neuropeptides and Animal Physiology
    • Genetic Neurodegenerative Diseases
  • Genetics top 10%
    • Insect and Arachnid Ecology and Behavior
    • Genetic diversity and population structure

Papers in

Conny Epplen

27 papers receiving 1.0k citations

Peers

Conny Epplen
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 312
  • Genetics 391
  • Ecology, Evolution, Behavior and Systematics 255
  • Behavioral Neuroscience 30
  • Insect Science 98
Replace L.P.C. Schot with:
L.P.C. Schot Netherlands
Mark W. Barnett United Kingdom
Steven P. Tammariello United States
Hirofumi Noguchi Japan
Ryouka Kawahara‐Miki Japan
J. B. Harrison United Kingdom
Katrin Huber Germany
Kazuya Kobayashi Japan
Zita Carvalho-Santos Portugal
Miriam Friedman‐Einat Israel
Conny Epplen relative to L.P.C. Schot Netherlands L.P.C. Schot's profile →
Citations per field
00.5×1.5×2×
L.P.C. Schot · 1×
Citations per year

Countries citing papers authored by Conny Epplen

Since Specialization
Citations

This map shows the geographic impact of Conny 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 Conny Epplen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conny Epplen more than expected).

Fields of papers citing papers by Conny Epplen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conny 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 Conny Epplen. The network helps show where Conny Epplen may publish in the future.

Co-authors

The 25 scholars most cited alongside Conny 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 Conny Epplen Line = papers co-authored together Conny Epplen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992252
2 1997101
3 198989
4 199186
5 199876
6 199859
7 199637
8 199835
9 199135
10 199334
11 199532
12 199529
13 199925
14 199722
15 199422
16 199521
17 199219
18
Small-scale population structure of the termite Schedorhinotermes lamanianus : Aggression modulated by genetic and environmental factors
199715
19 199915
20 199414

About Conny Epplen

Conny Epplen is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Insect Science, Immunology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant and animal studies (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Animal Behavior and Reproduction (5 papers), RNA and protein synthesis mechanisms (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (312 citations), Genetics (391 citations), Ecology, Evolution, Behavior and Systematics (255 citations), Behavioral Neuroscience (30 citations) and Insect Science (98 citations). Conny Epplen has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include Jörg T. Epplen, Ryszard Przewłocki, A.H.S. Hassan, A. Herz, Władysław Lasoń, Christoph Stein, Eduardo José Melo dos Santos, Claudia Husseneder, Manfred Kaib and Thomas Lubjuhn. Their work appears in journals such as Molecular Ecology, Human Genetics, Die Naturwissenschaften, Journal of Molecular Medicine and Human Molecular Genetics.

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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