Michael Lückmann

16 papers receiving 412 citations

Peers

Michael Lückmann
Comparison fields: 5 of 52
  • Endocrinology, Diabetes and Metabolism 140
  • Endocrine and Autonomic Systems 52
  • Cellular and Molecular Neuroscience 99
  • Molecular Biology 256
  • Nutrition and Dietetics 49
Replace Christina Rye Underwood with:
Christina Rye Underwood Denmark
Rudi Prihandoko United Kingdom
Charles Xing United States
Gerd Krause Germany
Amy E. Monaghan United Kingdom
Kathy Nguyen United States
Wen Chiy Liew Singapore
Mikiko Kishi Japan
Juan J. Carrillo United Kingdom
Patricio Atanes United Kingdom
Michael Lückmann relative to Christina Rye Underwood Denmark Christina Rye Underwood's profile →
Citations per field
00.5×1.5×
Christina Rye Underwood · 1×
Citations per year

Countries citing papers authored by Michael Lückmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lückmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2014182
2 201850
3 201942
4 202120
5 202019
6 201817
7 201916
8 201713
9 201611
10 201510
11 202410
12 20189
13 20218
14 20248
15 20223
16 20193

About Michael Lückmann

Michael Lückmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Computational Theory and Mathematics and Immunology, having authored 16 papers that have together received 421 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (7 papers), Chemokine receptors and signaling (4 papers), Computational Drug Discovery Methods (2 papers), Eicosanoids and Hypertension Pharmacology (1 paper), T-cell and B-cell Immunology (1 paper), Calcium signaling and nucleotide metabolism (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (140 citations), Endocrine and Autonomic Systems (52 citations), Cellular and Molecular Neuroscience (99 citations), Molecular Biology (256 citations) and Nutrition and Dietetics (49 citations). Michael Lückmann has collaborated with scholars based in Denmark, United States and Switzerland. Frequent co-authors include Thomas M. Frimurer, Thue W. Schwartz, Birgitte Holst, Andreas Nygaard Madsen, Mette Trauelsen, Jeppe H. Ekberg, M. A. Vestmar, Adam B. Weinglass, Michael W. Miller and Maria E. Trujillo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Structure, ACS Pharmacology & Translational Science, European Journal of Medicinal Chemistry and Molecular Metabolism.

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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