Anton Wernig

9.5k citations
112 papers · 8.1k · 2 hit papers · h-index 44

Impact in

Papers in

Anton Wernig

112 papers receiving 7.6k citations

Anton Wernig's Hit Papers

Identification of a novel population of muscle stem cells in mice 2002 · 709 citations
7090+8+17Years since publication200400600

Peers

Anton Wernig
Comparison fields: 5 of 138
  • Rehabilitation 877
  • Genetics 1.4k
  • Cellular and Molecular Neuroscience 1.9k
  • Aging 139
  • Pathology and Forensic Medicine 1.2k
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Countries citing papers authored by Anton Wernig

Since Specialization
Citations

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

Fields of papers citing papers by Anton Wernig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Expression of Cd34 and Myf5 Defines the Majority of Quiescent Adult Skeletal Muscle Satellite Cells
Hit paper breakdown →
2000732
2
Identification of a novel population of muscle stem cells in mice
Hit paper breakdown →
2002709
3 2000534
4 1995428
5 1992402
6 2006375
7 1994294
8 2003233
9 1998190
10 1980171
11 1971147
12 1999141
13 2002139
14 1986138
15 2001136
16 1999131
17 1975126
18 1997122
19 1987116
20 1990104

About Anton Wernig

Anton Wernig is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Cell Biology and Rehabilitation, having authored 112 papers that have together received 8.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (43 papers), Neuroscience and Neural Engineering (24 papers), Ion channel regulation and function (16 papers), Muscle activation and electromyography studies (16 papers), Tissue Engineering and Regenerative Medicine (15 papers), Lipid Membrane Structure and Behavior (12 papers), Spinal Cord Injury Research (12 papers) and Nerve injury and regeneration (12 papers). The work is most often cited by research in Rehabilitation (877 citations), Genetics (1.4k citations), Cellular and Molecular Neuroscience (1.9k citations), Aging (139 citations) and Pathology and Forensic Medicine (1.2k citations). Anton Wernig has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Sabina Müller, Andrey Irintchev, Andras Nanassy, Margit Zweyer, Johnny Huard, Baohong Cao, James H. Cummins, Roman Jankowski, Anna Starzinski‐Powitz and Jonathan R. Beauchamp. Their work appears in journals such as The Journal of Physiology, Journal of Neurocytology, Spinal Cord, Neuroscience and Neuromuscular Disorders.

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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