Michael Bienert

9.9k citations
185 papers · 8.3k indexed · h-index 46

Michael Bienert

181 papers receiving 8.0k citations

Peers

Michael Bienert
Comparison fields: 5 of 139
  • Microbiology 2.5k
  • Molecular Biology 6.5k
  • Behavioral Neuroscience 273
  • Organic Chemistry 1.8k
  • Biomaterials 616
Replace Michael Beyermann with:
Michael Beyermann Germany
Amitabha Chattopadhyay India
Paul F. Alewood Australia
Chaim Gilon Israel
Vladimı́r Saudek Czechia
Gábor K. Tóth Hungary
Murray Goodman United States
Marie‐Isabel Aguilar Australia
M. Ángeles Jiménez Spain
Rainer Rudolph Germany
Michael Bienert relative to Michael Beyermann Germany Michael Beyermann's profile →
Citations per field
00.5×1.5×
Michael Beyermann · 1×
Citations per year

Countries citing papers authored by Michael Bienert

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bienert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200915
2 20090
3 200721
4 2007498
5 200634
6
Orte der Demokratie : ein historisch-politischer Wegweiser durch Berlin
20050
7 200530
8 200222
9 2002127
10 2002183
11 200141
12 200117
13 200018
14 1997348
15 199635
16 199626
17 199618
18 199569
19 19949
20
Radioimmunoassay of substance P
19793

About Michael Bienert

Michael Bienert is a scholar working on Behavioral Neuroscience, Microbiology and Pharmaceutical Science, having authored 185 papers that have together received 8.3k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (84 papers), Receptor Mechanisms and Signaling (28 papers), Neuropeptides and Animal Physiology (24 papers), Lipid Membrane Structure and Behavior (24 papers), RNA Interference and Gene Delivery (19 papers), Antimicrobial Peptides and Activities (17 papers), Stress Responses and Cortisol (15 papers) and Biochemical and Structural Characterization (15 papers). The work is most often cited by research in Microbiology (2.5k citations), Molecular Biology (6.5k citations) and Behavioral Neuroscience (273 citations). Michael Bienert has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Michael Beyermann, Eberhard Krause, Margitta Dathe, Louis A. Carpino, Irene Coin, Holger Wenschuh, Torsten Wieprecht, Heike Nikolenko, Johannes Oehlke and Burkhard Wiesner. Their work appears in journals such as Biochemistry, Tetrahedron Letters, The Journal of Organic Chemistry, Biochimica et Biophysica Acta (BBA) - Biomembranes and FEBS Letters.

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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