John Jiang

33 papers receiving 1.1k citations

Peers

John Jiang
Comparison fields: 5 of 93
  • Anesthesiology and Pain Medicine 232
  • Gastroenterology 151
  • Psychiatry and Mental health 207
  • Rehabilitation 66
  • Pediatrics, Perinatology and Child Health 173
Replace Karen H Simpson with:
Karen H Simpson United Kingdom
Gordon Irving United States
Bruce M Smoller United States
Frederick Frost United States
Nalini Sehgal United States
Tudor Phillips United Kingdom
Joanne Muir United States
Gerhard Müller-Schwefe Germany
Rafael Gálvez Spain
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John Jiang relative to Karen H Simpson United Kingdom Karen H Simpson's profile →
Citations per field
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Karen H Simpson · 1×
Citations per year

Countries citing papers authored by John Jiang

Since Specialization
Citations

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

Fields of papers citing papers by John Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999303
2 2012172
3 2005108
4 200697
5 200688
6 200782
7 200640
8 200038
9 201836
10 200634
11 200034
12 200631
13 200729
14 200024
15 200721
16 202220
17 200916
18 202312
19 202210
20 202010

About John Jiang

John Jiang is a scholar working on Anesthesiology and Pain Medicine, Surgery, Molecular Biology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Management and Opioid Use (9 papers), Muscle Physiology and Disorders (5 papers), Anesthesia and Pain Management (4 papers), Opioid Use Disorder Treatment (3 papers), Attention Deficit Hyperactivity Disorder (3 papers), Pediatric Pain Management Techniques (3 papers), Optical Imaging and Spectroscopy Techniques (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (232 citations), Gastroenterology (151 citations), Psychiatry and Mental health (207 citations), Rehabilitation (66 citations) and Pediatrics, Perinatology and Child Health (173 citations). John Jiang has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include G. Rhys Williams, David B. Matchar, Greg Samsa, Mona Darwish, Philmore Robertson, Mary Kirby, James M. Swanson, Joseph Biederman, Laurence L. Greenhill and Craig Q. Earl. Their work appears in journals such as Clinical Therapeutics, Neurology, NeuroImage Clinical, Gastroenterology and Muscle & Nerve.

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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