John Skinner

26 papers receiving 685 citations

Peers

John Skinner
Comparison fields: 5 of 91
  • Developmental Neuroscience 39
  • Cellular and Molecular Neuroscience 133
  • Physiology 173
  • Pulmonary and Respiratory Medicine 174
  • Immunology 82
Replace Shengmei Zhu with:
Shengmei Zhu China
Sergey A. Sosunov United States
Geng-Chin Wu Taiwan
Pieter M. Cobelens Netherlands
Jonathan R. Heyen United States
Carla S. Jung Germany
Hangzhe Xu China
Qiying Shen China
John Skinner relative to Shengmei Zhu China Shengmei Zhu's profile →
Citations per field
00.5×3.6×
Shengmei Zhu · 1×
Citations per year

Countries citing papers authored by John Skinner

Since Specialization
Citations

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

Fields of papers citing papers by John Skinner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200592
2 201385
3 202266
4 200965
5 201443
6 201940
7 201040
8 200532
9 201231
10 200526
11 201926
12 200622
13 202017
14 201216
15 202115
16 201713
17 201512
18 201012
19 202111
20 20208

About John Skinner

John Skinner is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Surgery, having authored 27 papers that have together received 690 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (8 papers), Pain Mechanisms and Treatments (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Nerve injury and regeneration (3 papers), Anesthesia and Neurotoxicity Research (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Ion channel regulation and function (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Developmental Neuroscience (39 citations), Cellular and Molecular Neuroscience (133 citations), Physiology (173 citations), Pulmonary and Respiratory Medicine (174 citations) and Immunology (82 citations). John Skinner has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Roger A. Johns, Chunling Fan, Kazuyo Yamaji-Kegan, Qingning Su, Daniel J. Angelini, Yun Guan, Srinivasa N. Raja, Yuan‐Xiang Tao, Feng Tao and Syed F. Ali. Their work appears in journals such as Annals of the New York Academy of Sciences, Anesthesiology, PLoS ONE, American Journal of Physiology-Lung Cellular and Molecular Physiology and Respiratory Research.

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.

Explore authors with similar magnitude of impact