Revers Donga

1.5k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Revers Donga is a scholar working on Cellular and Molecular Neuroscience, Neurology and Physiology. According to data from OpenAlex, Revers Donga has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Neurology and 4 papers in Physiology. Recurrent topics in Revers Donga's work include Pain Mechanisms and Treatments (4 papers), Vestibular and auditory disorders (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Revers Donga is often cited by papers focused on Pain Mechanisms and Treatments (4 papers), Vestibular and auditory disorders (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Revers Donga collaborates with scholars based in United Kingdom, Canada and United States. Revers Donga's co-authors include James P. Lund, Charles G. Widmer, Christian S. Stohler, Dean Dessem, Richard G. Williams, Kwabena Appenteng, Nadia Pilati, Matthew Barker, Sofoklis Panteleimonitis and Martine Hamann and has published in prestigious journals such as The Journal of Physiology, The Journal of Comparative Neurology and Journal of Neurophysiology.

In The Last Decade

Revers Donga

14 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The pain-adaptation model: a discussion of the relationship between chronic musculoskeletal pain and motor activity

1991 800 citations James P. Lund, Revers Donga et al. Canadian Journal of Physiology and Pharmacology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Revers Donga United Kingdom	10	376	347	256	223	193	14	1.2k
Norman F. Capra United States	20	149 0.4×	486 1.4×	130 0.5×	237 1.1×	238 1.2×	31	961
Kai Jensen Denmark	18	496 1.3×	826 2.4×	94 0.4×	181 0.8×	208 1.1×	33	1.5k
Kazuo Toda Japan	19	115 0.3×	762 2.2×	174 0.7×	351 1.6×	501 2.6×	132	1.8k
Greg M. Murray Australia	29	388 1.0×	1.0k 2.9×	854 3.3×	721 3.2×	224 1.2×	84	2.5k
Guido Maria Filippi Italy	18	135 0.4×	183 0.5×	36 0.1×	393 1.8×	174 0.9×	38	1.2k
Peter Svensson Denmark	15	318 0.8×	442 1.3×	340 1.3×	178 0.8×	26 0.1×	17	964
A. Romaniello Italy	23	100 0.3×	718 2.1×	108 0.4×	494 2.2×	167 0.9×	50	1.6k
Shellie Boudreau Denmark	19	475 1.3×	271 0.8×	75 0.3×	89 0.4×	23 0.1×	49	1.1k
James G. Broton United States	25	116 0.3×	347 1.0×	39 0.2×	198 0.9×	302 1.6×	39	1.8k
Antonietta Romaniello Italy	10	187 0.5×	368 1.1×	54 0.2×	173 0.8×	53 0.3×	12	721

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-authorship network of co-authors of Revers Donga

This figure shows the co-authorship network connecting the top 25 collaborators of Revers Donga. A scholar is included among the top collaborators of Revers Donga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Revers Donga. Revers Donga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Pilati, Nadia, Matthew Barker, Sofoklis Panteleimonitis, Revers Donga, & Martine Hamann. (2008). A Rapid Method Combining Golgi and Nissl Staining to Study Neuronal Morphology and Cytoarchitecture. Journal of Histochemistry & Cytochemistry. 56(6). 539–550. 91 indexed citations

Meehan, Claire Francesca, et al.. (2004). Rostrocaudal distribution of motoneurones and variation in ventral horn area within a segment of the feline thoracic spinal cord. The Journal of Comparative Neurology. 472(3). 281–291. 11 indexed citations

Inoue, Makoto, Kayoko Nozawa‐Inoue, Revers Donga, & Yoshiaki Yamada. (2002). Convergence of selected inputs from sensory afferents to trigeminal premotor neurons with possible projections to masseter motoneurons in the rabbit. Brain Research. 957(1). 183–191. 12 indexed citations

Kirkwood, Peter, et al.. (1999). Chapter 6 Assessing the Strengths of Motoneuron Inputs: Different Anatomical and Physiological Approaches Compared. Progress in brain research. 123. 67–82. 9 indexed citations

Dessem, Dean, Revers Donga, & Pifu Luo. (1997). Primary- and Secondary-Like Jaw-Muscle Spindle Afferents Have Characteristic Topographic Distributions. Journal of Neurophysiology. 77(6). 2925–2944. 41 indexed citations

Taylor, Anthony R., et al.. (1993). Fusimotor effects of midbrain stimulation on jaw muscle spindles of the anaesthetized cat. Experimental Brain Research. 93(1). 37–45. 5 indexed citations

Donga, Revers, et al.. (1993). The use of midbrain stimulation to identify the discharges of static and dynamic fusimotor neurones during reflex jaw movements in the anaesthetized cat. Experimental Physiology. 78(1). 15–23. 4 indexed citations

Donga, Revers & Dean Dessem. (1993). An unrelayed projection of jaw-muscle spindle afferents to the cerebellum. Brain Research. 626(1-2). 347–350. 25 indexed citations

Donga, Revers, Réjean Dubuc, Arlette Kolta, & James P. Lund. (1992). Evidence that the masticatory muscles receive a direct innervation from cell group k in the rabbit. Neuroscience. 49(4). 951–961. 13 indexed citations

10.

Lund, James P., Revers Donga, Charles G. Widmer, & Christian S. Stohler. (1991). The pain-adaptation model: a discussion of the relationship between chronic musculoskeletal pain and motor activity. Canadian Journal of Physiology and Pharmacology. 69(5). 683–694. 800 indexed citations breakdown →

11.

Donga, Revers & James P. Lund. (1991). Discharge patterns of trigeminal commissural last-order interneurons during fictive mastication in the rabbit. Journal of Neurophysiology. 66(5). 1564–1578. 69 indexed citations

12.

Donga, Revers, et al.. (1990). An electrophysiological study of trigeminal commissural interneurons in the anaesthetized rabbit. Brain Research. 515(1-2). 351–354. 34 indexed citations

13.

Taylor, Anthony R. & Revers Donga. (1989). Chapter 3 Central mechanisms of selective fusimotor control. Progress in brain research. 80. 27–35. 9 indexed citations

14.

Appenteng, Kwabena, Revers Donga, & Richard G. Williams. (1985). Morphological and electrophysiological determination of the projections of jaw‐elevator muscle spindle afferents in rats.. The Journal of Physiology. 369(1). 93–113. 69 indexed citations

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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