H. Feistner

1.8k citations
54 papers · 1.5k · h-index 20

Impact in

  • Neurology top 2%
    • Amyotrophic Lateral Sclerosis Research
    • Transcranial Magnetic Stimulation Studies
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research

Papers in

H. Feistner

52 papers receiving 1.4k citations

Peers

H. Feistner
Comparison fields: 5 of 107
  • Neurology 588
  • Neurology 276
  • Genetics 208
  • Endocrine and Autonomic Systems 99
  • Cellular and Molecular Neuroscience 269
Replace Howard T. Chang with:
Howard T. Chang United States
Catherine Fallet‐Bianco France
R Defendini United States
Takayuki Taniwaki Japan
Parviz Mehraein Germany
Guy Bouvier France
Elvire Vaucher Canada
Masafumi Fukuda Japan
Emmanuelle Apartis France
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by H. Feistner

Since Specialization
Citations

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

Fields of papers citing papers by H. Feistner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990245
2 1998223
3 2005108
4 199994
5 199981
6 197966
7 201260
8 199756
9 201451
10 199340
11 200140
12 199539
13 199337
14 199136
15
Stiff-man syndrome: possible autoimmune etiology targeted against GABA-ergic cells.
199730
16 199423
17 201122
18 200321
19 200420
20 198920

About H. Feistner

H. Feistner is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Neurology, Molecular Biology and Surgery, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (12 papers), Transcranial Magnetic Stimulation Studies (7 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Neuroscience and Neural Engineering (6 papers), Nerve Injury and Rehabilitation (6 papers), Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (6 papers) and Neurogenetic and Muscular Disorders Research (5 papers). The work is most often cited by research in Neurology (588 citations), Neurology (276 citations), Genetics (208 citations), Endocrine and Autonomic Systems (99 citations) and Cellular and Molecular Neuroscience (269 citations). H. Feistner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Friedemann Awiszus, Stefan Vielhaber, Wolfram S. Kunz, Kirstin Winkler, Andrey V. Kuznetsov, Claudius Bartels, Falk R. Wiedemann, R.-D. Hesch, A. von zur Mühlen and Klaus Prank. Their work appears in journals such as Experimental Brain Research, Muscle & Nerve, Clinical Neurophysiology, Journal of the Neurological Sciences and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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