Rahul Phadke

4.6k citations
85 papers · 1.8k · h-index 21

Impact in

Papers in

Rahul Phadke

78 papers receiving 1.7k citations

Peers

Rahul Phadke
Comparison fields: 5 of 108
  • Critical Care and Intensive Care Medicine 108
  • Genetics 184
  • Neurology 238
  • Cardiology and Cardiovascular Medicine 339
  • Cellular and Molecular Neuroscience 265
Replace Veronika Grau with:
Veronika Grau Germany
John T. Sladky United States
Martin Savard Canada
Peter T. Ostrow United States
Christopher D. Pivetti United States
Xiaoguang Zhang China
Jean‐Pierre Louboutin United States
Xiaoyi Yuan United States
Leif G. Hanitsch Germany
Ingrid V. Allen United Kingdom
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Citations per field
00.5×4.2×
Veronika Grau · 1×
Citations per year

Countries citing papers authored by Rahul Phadke

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Phadke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015218
2 2018176
3 2015152
4 2011128
5 201485
6 201765
7 201758
8 201556
9 201252
10 201944
11 201442
12 200740
13 201436
14 201336
15 201432
16 201630
17 201829
18 202129
19 201729
20 201826

About Rahul Phadke

Rahul Phadke is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Genetics and Surgery, having authored 85 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (32 papers), Cardiomyopathy and Myosin Studies (16 papers), Neurogenetic and Muscular Disorders Research (16 papers), Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (5 papers), Nuclear Structure and Function (5 papers), Glycogen Storage Diseases and Myoclonus (5 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (108 citations), Genetics (184 citations), Neurology (238 citations), Cardiology and Cardiovascular Medicine (339 citations) and Cellular and Molecular Neuroscience (265 citations). Rahul Phadke has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Francesco Muntoni, Caroline A. Sewry, Heinz Jungbluth, Anna Sárközy, Julien Ochala, Francesco Zorzato, Susan Treves, Michael P. Lunn, Mathias Gautel and Steve Miller. Their work appears in journals such as Neuromuscular Disorders, Acta Neuropathologica Communications, Journal of Neurology Neurosurgery & Psychiatry, PLoS ONE and Neurology.

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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