David Li

25 papers receiving 462 citations

Peers

David Li
Comparison fields: 5 of 78
  • Pathology and Forensic Medicine 245
  • Neurology 146
  • Developmental Neuroscience 32
  • Rheumatology 105
  • Anesthesiology and Pain Medicine 35
Replace S Josephson with:
S Josephson United States
Noorulhuda Jawad United Kingdom
Wael I. Awad United Kingdom
Wulin Tan China
Urs Fisch Switzerland
Sara Reis Teixeira Brazil
Tak Wai Lee Hong Kong
M Turunen Finland
Glenn Neil-Dwyer United Kingdom
Shaowei Gao China
David Li relative to S Josephson United States S Josephson's profile →
Citations per field
00.5×3.3×
S Josephson · 1×
Citations per year

Countries citing papers authored by David Li

Since Specialization
Citations

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

Fields of papers citing papers by David Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200573
2 201171
3 201663
4 199154
5 201047
6 201943
7 201524
8 202023
9 201820
10 202112
11 198311
12 202210
13 200610
14 20174
15 20194
16 20202
17
Effects of mid sagittal plane selection on corpus callosal area
20061
18 20241
19 20231
20 20221

About David Li

David Li is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Epidemiology and Surgery, having authored 26 papers that have together received 480 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Multiple Sclerosis Research Studies (5 papers), Infective Endocarditis Diagnosis and Management (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Hemodynamic Monitoring and Therapy (2 papers), Peripheral Neuropathies and Disorders (2 papers) and Anesthesia and Sedative Agents (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (245 citations), Neurology (146 citations), Developmental Neuroscience (32 citations), Rheumatology (105 citations) and Anesthesiology and Pain Medicine (35 citations). David Li has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Douglas S. Goodin, Joël Oger, Campbell Clark, Harry Klonoff, Gordon Francis, Patricia K. Coyle, Brian G. Weinshenker, Paul O’Connor, Peter Chang and Hillel Panitch. Their work appears in journals such as Multiple Sclerosis Journal, BMC Anesthesiology, PLoS ONE, American Journal of Obstetrics and Gynecology and Archives of Medical Science.

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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