Michael Beyermann

13.1k citations
199 papers · 11.0k indexed · h-index 58

Michael Beyermann

196 papers receiving 10.8k citations

Peers

Michael Beyermann
Comparison fields: 5 of 142
  • Microbiology 2.6k
  • Molecular Biology 8.1k
  • Behavioral Neuroscience 284
  • Organic Chemistry 2.2k
  • Cellular and Molecular Neuroscience 1.3k
Replace Michael Bienert with:
Michael Bienert Germany
Amitabha Chattopadhyay India
Paul F. Alewood Australia
Larry A. Sklar United States
Chaim Gilon Israel
Vladimı́r Saudek Czechia
Luis Moroder Germany
Klaus Gawrisch United States
Meir Shinitzky Israel
Paavo K.J. Kinnunen Finland
Michael Beyermann relative to Michael Bienert Germany Michael Bienert's profile →
Citations per field
00.5×1.5×
Michael Bienert · 1×
Citations per year

Countries citing papers authored by Michael Beyermann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Beyermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201091
2 201037
3 201013
4 200915
5 20090
6 200821
7 200878
8 200892
9 200753
10 2007498
11 200530
12 2003112
13 2002127
14 2002183
15 200221
16 200141
17 19985
18 1997348
19 199635
20 199626

About Michael Beyermann

Michael Beyermann is a scholar working on Behavioral Neuroscience, Microbiology and Molecular Biology, having authored 199 papers that have together received 11.0k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (65 papers), Receptor Mechanisms and Signaling (34 papers), Lipid Membrane Structure and Behavior (27 papers), Stress Responses and Cortisol (21 papers), Click Chemistry and Applications (17 papers), Antimicrobial Peptides and Activities (16 papers), Peptidase Inhibition and Analysis (14 papers) and Nitric Oxide and Endothelin Effects (13 papers). The work is most often cited by research in Microbiology (2.6k citations), Molecular Biology (8.1k citations) and Behavioral Neuroscience (284 citations). Michael Beyermann has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Michael Bienert, Eberhard Krause, Margitta Dathe, Torsten Wieprecht, Louis A. Carpino, Irene Coin, Burkhard Wiesner, Joachim Seelig, Holger Wenschuh and Heike Nikolenko. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Tetrahedron Letters, The Journal of Organic Chemistry and Angewandte Chemie International Edition.

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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