Mark J. Wagner

3.3k citations
56 papers · 2.3k · h-index 25

Impact in

  • Neurology top 2%
    • Vestibular and auditory disorders
    • Neural dynamics and brain function
    • Motor Control and Adaptation
    • EEG and Brain-Computer Interfaces

Papers in

Mark J. Wagner

54 papers receiving 2.2k citations

Peers

Mark J. Wagner
Comparison fields: 5 of 154
  • Neurology 395
  • Cognitive Neuroscience 857
  • Sensory Systems 146
  • Cellular and Molecular Neuroscience 532
  • Endocrine and Autonomic Systems 154
Replace Graham E. Holder with:
Graham E. Holder United Kingdom
Takuya Sasaki Japan
Elisabeth Petrasch‐Parwez Germany
William E. Allen United States
Wenzhi Sun China
Katsuhiko Tabuchi Japan
G. B. Arden United Kingdom
Mazahir T. Hasan Germany
Shengli Zhao United States
Mark J. Wagner relative to Graham E. Holder United Kingdom Graham E. Holder's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark J. Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Wagner. 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 Mark J. Wagner. The network helps show where Mark J. Wagner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017341
2 2014162
3 2008144
4 2019135
5 2008117
6 1979107
7 2019106
8 201979
9 201277
10 202066
11 200064
12 202361
13 199959
14 200358
15 199951
16 199150
17 202150
18 202146
19 200445
20 200135

About Mark J. Wagner

Mark J. Wagner is a scholar working on Molecular Biology, Cognitive Neuroscience, Cell Biology, Neurology and Cellular and Molecular Neuroscience, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include melanin and skin pigmentation (10 papers), Vestibular and auditory disorders (9 papers), Neural dynamics and brain function (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Cell Adhesion Molecules Research (6 papers), Retinal Development and Disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). The work is most often cited by research in Neurology (395 citations), Cognitive Neuroscience (857 citations), Sensory Systems (146 citations), Cellular and Molecular Neuroscience (532 citations) and Endocrine and Autonomic Systems (154 citations). Mark J. Wagner has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Liqun Luo, Mark J. Schnitzer, Tony Hyun Kim, Joan Savall, Maurice A. Smith, Jin Zhong Li, Yiyang Gong, John C. Baird, Nancy Kneer and H A Lardy. Their work appears in journals such as Cell, Journal of Experimental Psychology Human Perception & Performance, Melanoma Research, British Journal of Cancer and Nature Methods.

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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