David Li

3.9k citations
76 papers · 3.0k indexed · 2 hit papers · h-index 28

David Li

73 papers receiving 2.8k citations

Hit Papers

Ocrelizumab in relapsing-remitting ...5381990202620022014100200300400500

Peers

David Li
Comparison fields: 5 of 155
  • Surfaces, Coatings and Films 650
  • Pathology and Forensic Medicine 596
  • Mechanics of Materials 386
  • Immunology 333
  • Neurology 238
Replace John C. Chen with:
John C. Chen United States
David N. Ku United States
Hongyu Yu China
Yin Ding China
Xiang Yan China
Dongxu Liu China
Lei Jiang China
Masato Sato Japan
Shiqiang Li China
Xiaofang Zhang China
David Li relative to John C. Chen United States John C. Chen's profile →
Citations per field
00.5×4.2×
John C. Chen · 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-authorship network

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
#Work
1 20250
2 202214
3 20227
4 20223
5 202125
6 202015
7 20199
8 201910
9 20173
10 201327
11 20139
12 201336
13
Ocrelizumab in relapsing-remitting multiple sclerosis: a phase 2, randomised, placebo-controlled, multicentre trialbreakdown →
2011538
14 200927
15 200557
16 200575
17 200432
18 200240
19 19951
20 199414

About David Li

David Li is a scholar working on Transplantation, Surfaces, Coatings and Films, Health Informatics, Pathology and Forensic Medicine and Surgery, having authored 76 papers that have together received 3.0k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (13 papers), Surface Modification and Superhydrophobicity (13 papers), Multiple Sclerosis Research Studies (9 papers), Adhesion, Friction, and Surface Interactions (8 papers), Renal Transplantation Outcomes and Treatments (6 papers), Material Dynamics and Properties (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers) and Organ Transplantation Techniques and Outcomes (6 papers). The work is most often cited by research in Surfaces, Coatings and Films (650 citations), Pathology and Forensic Medicine (596 citations), Mechanics of Materials (386 citations), Immunology (333 citations) and Neurology (238 citations). David Li has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include A. W. Neumann, Y. Rotenberg, L. Borůvka, Ping Cheng, Ludwig Kappos, Stephen L. Hauser, Peter A. Calabresi, Paul O’Connor, David Leppert and Frederik Barkhof. Their work appears in journals such as Advances in Colloid and Interface Science, The Journal of Heart and Lung Transplantation, Neurology, Journal of Colloid and Interface Science and Transplantation.

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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