Christopher R. Donnelly

2.9k citations
29 papers · 1.9k indexed · 1 hit paper · h-index 18
Topics
Pain Mechanisms and Treatments (7 papers)Neuropeptides and Animal Physiology (5 papers)interferon and immune responses (4 papers)

In The Last Decade

Christopher R. Donnelly

28 papers receiving 1.9k citations

Hit Papers

Astrocytes in chronic pain and itch20192026202120232019100200300

Peers

Christopher R. Donnelly
Comparison fields: 5 of 96
  • Physiology 838
  • Molecular Biology 523
  • Cellular and Molecular Neuroscience 437
  • Immunology 387
  • Oncology 281
Replace Xin Luo with:
Xin Luo United States
Ohannes K. Melemedjian United States
Alexander Chamessian United States
Sara Marinelli Italy
Matthew S. Ripsch United States
Gisela Segond von Banchet Germany
Pradipta Ray United States
Shuanglin Hao United States
Sonia K. Bhangoo United States
James R. Goss United States
Christopher R. Donnelly relative to Xin Luo United States Xin Luo's profile →
Citations per field
00.5×1.7×
Xin Luo · 1×
Citations per year

Countries citing papers authored by Christopher R. Donnelly

Since Specialization
Citations

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

Fields of papers citing papers by Christopher R. Donnelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher R. Donnelly. 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 Christopher R. Donnelly. The network helps show where Christopher R. Donnelly may publish in the future.

Co-authorship network of co-authors of Christopher R. Donnelly

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher R. Donnelly. A scholar is included among the top collaborators of Christopher R. Donnelly 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 Christopher R. Donnelly. Christopher R. Donnelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 33
2 91
3 55
4 12
5 159
6 127
7 29
8 131
9 201
10 5
11 26
12 2
13 129
14
Astrocytes in chronic pain and itchbreakdown →
350
15 175
16 124
17 22
18 27
19 55
20 5

About Christopher R. Donnelly

Christopher R. Donnelly is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (7 papers), Neuropeptides and Animal Physiology (5 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Physiology (838 citations), Neurology (252 citations) and Cellular and Molecular Neuroscience (437 citations). Christopher R. Donnelly has collaborated with scholars based in United States, Japan and Denmark. Frequent co-authors include Ru‐Rong Ji, Chen Ouyang, Maiken Nedergaard, Kaiyuan Wang, Amanda S. Andriessen, Changyu Jiang, Xueshu Tao, William Maixner, Sangsu Bang and Xin Luo. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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