Peter Muhn

1.3k citations
19 papers · 1.1k · h-index 13

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Nicotinic Acetylcholine Receptors Study 4
    • DNA and Nucleic Acid Chemistry 2
    • bioluminescence and chemiluminescence research 2
    • Estrogen and related hormone effects 7

Peter Muhn

19 papers receiving 1.0k citations

Peers

Peter Muhn
Comparison fields: 5 of 98
  • Reproductive Medicine 183
  • Endocrinology, Diabetes and Metabolism 163
  • Genetics 227
  • Molecular Biology 522
  • Cellular and Molecular Neuroscience 117
Replace Jesus A. Vilchez‐Martinez with:
Jesus A. Vilchez‐Martinez United States
M. Jeyakumar United States
Stéphanie Moreno France
Marie‐Claire Lebeau France
M. Monahan United States
N Fleischer United States
Rolf Krattenmacher Germany
Sydney A. Shain United States
S. Beier Germany
William H. Pearlman United States
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Citations per field
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Jesus A. Vilchez‐Martinez · 1×
Citations per year

Countries citing papers authored by Peter Muhn

Since Specialization
Citations

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

Fields of papers citing papers by Peter Muhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2006174
2 1995160
3 2002158
4 2000134
5 1995109
6 198693
7 200284
8 201479
9 198336
10 198420
11 198417
12 201913
13
Biological effects of ERalpha- and ERbeta-selective estrogens.
200412
14 19899
15 20044
16 19982
17 19832
18 19861
19 19851

About Peter Muhn

Peter Muhn is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Spectroscopy, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Receptor Mechanisms and Signaling (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Hypothalamic control of reproductive hormones (3 papers), Photoreceptor and optogenetics research (3 papers), Mass Spectrometry Techniques and Applications (3 papers), DNA and Nucleic Acid Chemistry (2 papers) and bioluminescence and chemiluminescence research (2 papers). The work is most often cited by research in Reproductive Medicine (183 citations), Endocrinology, Diabetes and Metabolism (163 citations), Genetics (227 citations), Molecular Biology (522 citations) and Cellular and Molecular Neuroscience (117 citations). Peter Muhn has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Rolf Krattenmacher, E. Schillinger, Ferdinand Hucho, Karl Heinrich Fritzemeier, Ulrike Fuhrmann, Jens Burmeister, Sven Klußmann, W. Elger, S. Beier and Andreas Herrlich. Their work appears in journals such as Biochemistry, The EMBO Journal, Contraception, Biochemical Pharmacology and Journal of Medicinal Chemistry.

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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