Revers Donga

1.5k citations
15 papers · 1.2k · 1 hit paper · h-index 11

Impact in

Papers in

Revers Donga

15 papers receiving 1.2k citations

Revers Donga's Hit Papers

The pain-adaptation model: a discussion of the relationship between chronic musculoskeletal pain and motor activity 1991 · 838 citations
8380+11+23Years since publication250500750

Peers

Revers Donga
Comparison fields: 5 of 97
  • Complementary and Manual Therapy 269
  • Pharmacology 316
  • Neurology 156
  • Endocrine and Autonomic Systems 114
  • Neurology 190
Replace Charles G. Widmer with:
Charles G. Widmer United States
Norman F. Capra United States
Kai Jensen Denmark
James G. Broton United States
JA Pareja Spain
Keiichiro Okamoto Japan
Guido Maria Filippi Italy
Greg M. Murray Australia
Toru Taguchi Japan
R. Sumino Japan
Revers Donga relative to Charles G. Widmer United States Charles G. Widmer's profile →
Citations per field
00.5×3.1×
Charles G. Widmer · 1×
Citations per year

Countries citing papers authored by Revers Donga

Since Specialization
Citations

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

Fields of papers citing papers by Revers Donga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Revers Donga, 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 Revers Donga Line = papers co-authored together Revers Donga links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
The pain-adaptation model: a discussion of the relationship between chronic musculoskeletal pain and motor activity
Hit paper breakdown →
1991838
2 200893
3 199172
4 198569
5 199741
6 199034
7 199326
8 199215
9 200212
10 200411
11 198911
12 19999
13 19937
14 19936
15 19952

About Revers Donga

Revers Donga is a scholar working on Cellular and Molecular Neuroscience, Neurology, Physiology, Pathology and Forensic Medicine and Cognitive Neuroscience, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Pain Mechanisms and Treatments (4 papers), Photoreceptor and optogenetics research (2 papers), Trigeminal Neuralgia and Treatments (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers), Neuroscience of respiration and sleep (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Complementary and Manual Therapy (269 citations), Pharmacology (316 citations), Neurology (156 citations), Endocrine and Autonomic Systems (114 citations) and Neurology (190 citations). Revers Donga has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include James P. Lund, Charles G. Widmer, Christian S. Stohler, Dean Dessem, Kwabena Appenteng, Richard G. Williams, Matthew Barker, Nadia Pilati, Martine Hamann and Sofoklis Panteleimonitis. Their work appears in journals such as Brain Research, Journal of Neurophysiology, Progress in brain research, The Journal of Comparative Neurology and Neuroscience.

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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