A. Wernig

9.5k citations
95 papers · 7.2k indexed · 3 hit papers · h-index 43

A. Wernig

95 papers receiving 6.8k citations

Hit Papers

Identification of a novel population of muscle stem cells...6652000202620082017200400600

Peers

A. Wernig
Comparison fields: 5 of 133
  • Genetics 1.5k
  • Rehabilitation 876
  • Cellular and Molecular Neuroscience 1.7k
  • Aging 143
  • Molecular Biology 4.2k
Replace Miranda D. Grounds with:
Miranda D. Grounds Australia
Ikuya Nonaka Japan
Gerta Vrbovà United Kingdom
Roberto Bottinelli Italy
Sue C. Bodine United States
James G. Tidball United States
Antonio Musarò Italy
Hart G.W. Lidov United States
James J. Dowling United States
Grace K. Pavlath United States
A. Wernig relative to Miranda D. Grounds Australia Miranda D. Grounds's profile →
Citations per field
00.5×1.5×2.1×
Miranda D. Grounds · 1×
Citations per year

Countries citing papers authored by A. Wernig

Since Specialization
Citations

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

Fields of papers citing papers by A. Wernig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20065
2 200452
3 2003223
4 200227
5 200122
6 200142
7 200063
8 200032
9 200056
10 1999138
11 199985
12 1999123
13 199738
14 199691
15 199441
16 199344
17 199312
18
Plasticity of motoneuronal connections
199165
19 199152
20 1990102

About A. Wernig

A. Wernig is a scholar working on Aging, Cellular and Molecular Neuroscience, Genetics, Rehabilitation and Molecular Biology, having authored 95 papers that have together received 7.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (43 papers), Neuroscience and Neural Engineering (22 papers), Tissue Engineering and Regenerative Medicine (15 papers), Muscle activation and electromyography studies (13 papers), Ion channel regulation and function (13 papers), Mesenchymal stem cell research (11 papers), Lipid Membrane Structure and Behavior (10 papers) and Nerve injury and regeneration (10 papers). The work is most often cited by research in Genetics (1.5k citations), Rehabilitation (876 citations), Cellular and Molecular Neuroscience (1.7k citations), Aging (143 citations) and Molecular Biology (4.2k citations). A. Wernig has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Andrey Irintchev, Sabina Müller, A Nanassy, Margit Zweyer, James H. Cummins, Johnny Huard, Baohong Cao, Roman Jankowski, Anna Starzinski‐Powitz and Jonathan R. Beauchamp. Their work appears in journals such as The Journal of Physiology, Journal of Neurocytology, Neuroscience, Cell and Tissue Research 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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