Gerald Pfeffer

3.4k citations
76 papers · 1.9k · h-index 22

Impact in

    • Metabolism and Genetic Disorders
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • Muscle Physiology and Disorders

Papers in

Gerald Pfeffer

70 papers receiving 1.9k citations

Peers

Gerald Pfeffer
Comparison fields: 5 of 107
  • Clinical Biochemistry 360
  • Molecular Biology 1.1k
  • Neurology 223
  • Genetics 153
  • Cellular and Molecular Neuroscience 270
Replace Göknur Haliloğlu with:
Göknur Haliloğlu Türkiye
Byung Chan Lim South Korea
Christine Barnérias France
Morten Dunø Denmark
Christopher Lindberg Sweden
Brahim Tabarki Saudi Arabia
H. F. M. Busch Netherlands
Alessandro Malandrini Italy
I. Pénisson-Besnier France
Keisuke Mori Japan
Gerald Pfeffer relative to Göknur Haliloğlu Türkiye Göknur Haliloğlu's profile →
Citations per field
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Göknur Haliloğlu · 1×
Citations per year

Countries citing papers authored by Gerald Pfeffer

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Pfeffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012299
2 2005213
3 2013126
4 2011107
5 201494
6 201291
7 201374
8 201569
9 202059
10 201150
11 201641
12 201440
13 201238
14 202335
15 200934
16 201933
17 201433
18 202229
19 201926
20 200525

About Gerald Pfeffer

Gerald Pfeffer is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Cell Biology, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (17 papers), Neurogenetic and Muscular Disorders Research (14 papers), Muscle Physiology and Disorders (11 papers), Genetic Neurodegenerative Diseases (9 papers), Cardiomyopathy and Myosin Studies (7 papers), Neurological diseases and metabolism (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). The work is most often cited by research in Clinical Biochemistry (360 citations), Molecular Biology (1.1k citations), Neurology (223 citations), Genetics (153 citations) and Cellular and Molecular Neuroscience (270 citations). Gerald Pfeffer has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Patrick F. Chinnery, Douglass M. Turnbull, Kari Majamaa, David R. Thorburn, Rita Horváth, Patrick Yu‐Wai‐Man, Michael D. Buschmann, Janet E. Henderson, Huifen Wang and Antoine Blanc. Their work appears in journals such as Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Frontiers in Neurology, Neurology, Brain 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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