K. Ulrich Bayer

11.6k citations
70 papers · 4.2k indexed · 1 hit paper · h-index 36
Topics
Neuroscience and Neuropharmacology Research (57 papers)Ion channel regulation and function (28 papers)Mitochondrial Function and Pathology (10 papers)
Partner nations
United StatesCanadaChile

In The Last Decade

K. Ulrich Bayer

69 papers receiving 4.1k citations

Hit Papers

Interaction with the NMDA receptor locks CaMKII in an act...20012026200920172001100200300400500

Peers

K. Ulrich Bayer
Comparison fields: 5 of 109
  • Molecular Biology 2.8k
  • Cellular and Molecular Neuroscience 2.8k
  • Cognitive Neuroscience 648
  • Physiology 479
  • Neurology 359
Replace Paul De Koninck with:
Paul De Koninck Canada
Ákos Kulik Germany
Mark L. Dell’Acqua United States
Terunaga Nakagawa United States
Matthew B. Dalva United States
Kirsten Harvey United Kingdom
Jens Eilers Germany
Steven J. Coultrap United States
Jennifer N. Bourne United States
Sergei A. Kirov United States
K. Ulrich Bayer relative to Paul De Koninck Canada Paul De Koninck's profile →
Citations per field
00.5×1.7×
Paul De Koninck · 1×
Citations per year

Countries citing papers authored by K. Ulrich Bayer

Since Specialization
Citations

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

Fields of papers citing papers by K. Ulrich Bayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Ulrich Bayer. 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 K. Ulrich Bayer. The network helps show where K. Ulrich Bayer may publish in the future.

Co-authorship network of co-authors of K. Ulrich Bayer

This figure shows the co-authorship network connecting the top 25 collaborators of K. Ulrich Bayer. A scholar is included among the top collaborators of K. Ulrich Bayer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Ulrich Bayer. K. Ulrich Bayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 5
4 3
5 1
6 10
7 221
8 44
9 43
10 67
11 65
12 22
13 150
14 6
15 31
16 110
17 134
18 198
19 89
20
Interaction with the NMDA receptor locks CaMKII in an active conformationbreakdown →
556

About K. Ulrich Bayer

K. Ulrich Bayer is a scholar working on Cellular and Molecular Neuroscience, Structural Biology and Molecular Biology, having authored 70 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (57 papers), Ion channel regulation and function (28 papers) and Mitochondrial Function and Pathology (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Developmental Neuroscience (225 citations) and Neurology (359 citations). K. Ulrich Bayer has collaborated with scholars based in United States, Canada and Chile. Frequent co-authors include Steven J. Coultrap, Howard Schulman, Johannes Hell, Heather O’Leary, Paul De Koninck, A. Soren Leonard, Rebekah S. Vest, Mark L. Dell’Acqua, Ronald K. Freund and Klaus Harbers. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.

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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