Michael Hollmann

14.2k citations
120 papers · 11.6k indexed · 6 hit papers · h-index 38

Michael Hollmann

118 papers receiving 11.3k citations

Hit Papers

Cloned Glutamate Receptors3.4k198920262001201310002.0k3.0k

Peers

Michael Hollmann
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 9.2k
  • Developmental Neuroscience 777
  • Neurology 1.4k
  • Molecular Biology 7.3k
  • Physiology 380
Replace Johannes Hell with:
Johannes Hell United States
Jay M. Baraban United States
Toshiya Manabe Japan
R. Suzanne Zukin United States
Hilmar Bading Germany
Jeremy M. Henley United Kingdom
Ralf Schoepfer United Kingdom
Rafael Luján Spain
Pablo E. Castillo United States
Uwe Heinemann Germany
Michael Hollmann relative to Johannes Hell United States Johannes Hell's profile →
Citations per field
00.5×1.5×1.9×
Johannes Hell · 1×
Citations per year

Countries citing papers authored by Michael Hollmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hollmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202210
2 202114
3 202116
4 20145
5 201390
6 20133
7 20115
8 201012
9 200910
10 200918
11 200721
12 200769
13 200725
14 200626
15 200313
16 199945
17
Die Regierung Hitler
19991
18 1997100
19 1994344
20 199211

About Michael Hollmann

Michael Hollmann is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Neurology, having authored 120 papers that have together received 11.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (89 papers), Ion channel regulation and function (50 papers), Receptor Mechanisms and Signaling (25 papers), Nicotinic Acetylcholine Receptors Study (21 papers), Photoreceptor and optogenetics research (12 papers), Molecular Sensors and Ion Detection (8 papers), Lipid Membrane Structure and Behavior (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (9.2k citations), Developmental Neuroscience (777 citations), Neurology (1.4k citations), Molecular Biology (7.3k citations) and Physiology (380 citations). Michael Hollmann has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Stephen F. Heinemann, Melissa Hartley, A O'Shea-Greenfield, Cornelia Maron, Jim Boulter, Scott W. Rogers, Gregory P. Gasic, Evan S. Deneris, Stefan H. Heinemann and Daniel Tapken. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, Journal of Neurochemistry, Molecular and Cellular Neuroscience and Neuron.

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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