Peter Muhn

1.3k citations
16 papers · 1.0k · h-index 13

Impact in

Papers in

    • Nicotinic Acetylcholine Receptors Study 4
    • Receptor Mechanisms and Signaling 3
    • Advanced biosensing and bioanalysis techniques 2
    • bioluminescence and chemiluminescence research 2
    • DNA and Nucleic Acid Chemistry 2
    • Estrogen and related hormone effects 6

Peter Muhn

16 papers receiving 965 citations

Peers

Peter Muhn
Comparison fields: 5 of 97
  • Reproductive Medicine 202
  • Endocrinology, Diabetes and Metabolism 193
  • Genetics 251
  • Molecular Biology 487
  • Behavioral Neuroscience 21
Replace Debra F. Skafar with:
Debra F. Skafar United States
Stéphanie Moreno France
L. Bokser United States
K.R. Laumas India
Leonard J. Lerner Malaysia
S. Beier Germany
Esther J. Coy United States
M. Monahan United States
Gilles Leblanc Canada
N Fleischer United States
Peter Muhn relative to Debra F. Skafar United States Debra F. Skafar's profile →
Citations per field
00.5×1.5×2.0×
Debra F. Skafar · 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

16 of 16 papers shown
#Work
1 2006168
2 1995151
3 2002149
4 2000123
5 1995107
6 198684
7 200277
8 201475
9 198332
10 198417
11 198416
12 201912
13
Biological effects of ERalpha- and ERbeta-selective estrogens.
200412
14 19898
15 19982
16 19861

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 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Receptor Mechanisms and Signaling (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), bioluminescence and chemiluminescence research (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Hormonal Regulation and Hypertension (2 papers) and Hypothalamic control of reproductive hormones (2 papers). The work is most often cited by research in Reproductive Medicine (202 citations), Endocrinology, Diabetes and Metabolism (193 citations), Genetics (251 citations), Molecular Biology (487 citations) and Behavioral Neuroscience (21 citations). Peter Muhn has collaborated with scholars based in Germany, Mexico and France. Frequent co-authors include Rolf Krattenmacher, E. Schillinger, Ferdinand Hucho, Karl Heinrich Fritzemeier, Ulrike Fuhrmann, Jens Burmeister, Sven Klußmann, W. Elger, S. Beier and Aurélie Escande. Their work appears in journals such as Biochemistry, FEBS Letters, Molecular Nutrition & Food Research, Contraception and Biochemical Pharmacology.

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.

Explore authors with similar magnitude of impact