Michael Sinnreich

3.2k citations
60 papers · 2.2k indexed · h-index 24
Topics
Muscle Physiology and Disorders (22 papers)Genetic Neurodegenerative Diseases (12 papers)Neurogenetic and Muscular Disorders Research (7 papers)

In The Last Decade

Michael Sinnreich

58 papers receiving 2.2k citations

Peers

Michael Sinnreich
Comparison fields: 5 of 117
  • Molecular Biology 1.2k
  • Physiology 620
  • Cellular and Molecular Neuroscience 527
  • Neurology 489
  • Epidemiology 310
Replace Laura Barberi with:
Laura Barberi Italy
Elisa Calabria Italy
Stefan Löefler Austria
Gustavo A. Nader United States
Silvia Belia Italy
Yasuhiro Manabe Japan
Kristian Vissing Denmark
Antonio Emanuele Elia Italy
Ron Dabby Israel
Nobuyuki Oka Japan
Michael Sinnreich relative to Laura Barberi Italy Laura Barberi's profile →
Citations per field
00.5×
Laura Barberi · 1×
Citations per year

Countries citing papers authored by Michael Sinnreich

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sinnreich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sinnreich

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sinnreich. A scholar is included among the top collaborators of Michael Sinnreich 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 Michael Sinnreich. Michael Sinnreich 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 1
2 5
3 58
4 23
5 37
6 15
7 4
8 15
9 7
10 219
11 6
12 10
13 40
14 74
15 7
16 21
17 43
18 8
19 124
20 113

About Michael Sinnreich

Michael Sinnreich is a scholar working on Aging, Neurology and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (22 papers), Genetic Neurodegenerative Diseases (12 papers) and Neurogenetic and Muscular Disorders Research (7 papers). The work is most often cited by research in Aging (77 citations), Neurology (489 citations) and Cellular and Molecular Neuroscience (527 citations). Michael Sinnreich has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include P. James B. Dyck, Christian Therrien, Perrine Castets, Markus A. Rüegg, Sabrina Di Fulvio, Bruce Taylor, Stephan Frank, Shuo Lin, George Karpati and Lionel Tintignac. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation 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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