Werner Hoch

4.1k citations
36 papers · 3.3k indexed · 1 hit paper · h-index 26
Topics
Ion channel regulation and function (15 papers)Neuroscience and Neuropharmacology Research (10 papers)Muscle Physiology and Disorders (7 papers)

In The Last Decade

Werner Hoch

36 papers receiving 3.3k citations

Hit Papers

Auto-antibodies to the receptor tyrosine kinase MuSK in p...20012026200920172001250500750

Peers

Werner Hoch
Comparison fields: 5 of 92
  • Molecular Biology 2.0k
  • Cellular and Molecular Neuroscience 1.4k
  • Neurology 1.1k
  • Cell Biology 632
  • Infectious Diseases 344
Replace Mary G. Sweeney with:
Mary G. Sweeney United Kingdom
Hiroshi Nishimune United States
David C. Bowen United States
Hans Rudolf Brenner Switzerland
Isabella Moroni Italy
Judit Herreros Spain
David R. Gies United States
Medha Gautam United States
Roberta Biancheri Italy
Teit E. Johansen Denmark
Werner Hoch relative to Mary G. Sweeney United Kingdom Mary G. Sweeney's profile →
Citations per field
00.5×8.4×
Mary G. Sweeney · 1×
Citations per year

Countries citing papers authored by Werner Hoch

Since Specialization
Citations

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

Fields of papers citing papers by Werner Hoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Werner Hoch

This figure shows the co-authorship network connecting the top 25 collaborators of Werner Hoch. A scholar is included among the top collaborators of Werner Hoch 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 Werner Hoch. Werner Hoch 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 56
2 30
3 15
4 15
5
Auto-antibodies to the receptor tyrosine kinase MuSK in patients with myasthenia gravis without acetylcholine receptor antibodiesbreakdown →
839
6 53
7 43
8 92
9 79
10 38
11 73
12 69
13 270
14 11
15 13
16 18
17 105
18 25
19 132
20 54

About Werner Hoch

Werner Hoch is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 36 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (15 papers), Neuroscience and Neuropharmacology Research (10 papers) and Muscle Physiology and Disorders (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Neurology (1.1k citations) and Cell Biology (632 citations). Werner Hoch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Heinrich Betz, James T. Campanelli, Richard H. Scheller, Cord‐Michael Becker, Angela Vincent, John Newsom–Davis, John McConville, Sigrun Helms, Arthur Melms and Michael Ferns. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Medicine.

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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