Jiang Li

174 papers receiving 5.0k citations

Hit Papers

Racial, Economic, and Health Inequality and COVID-19 Infection in the United States 2020 · 455 citations
4552020202620222024100200300400

Peers

Jiang Li
Comparison fields: 5 of 186
  • Biological Psychiatry 137
  • Developmental Neuroscience 154
  • Neurology 276
  • Molecular Biology 2.3k
  • General Dentistry 55
Replace Francesco Chiappelli with:
Francesco Chiappelli United States
Song Chen China
Fakher Rahim Iran
Shemin Lu China
Hongliang Zhang China
Merel Ritskes‐Hoitinga Netherlands
Judith Schwartzbaum United States
Jing Zhang China
Ji‐Won Lee South Korea
Mostafa Rezaei–Tavirani Iran
Jiang Li relative to Francesco Chiappelli United States Francesco Chiappelli's profile →
Citations per field
00.5×4.0×
Francesco Chiappelli · 1×
Citations per year

Countries citing papers authored by Jiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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4 202358
5 20230
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12 202143
13 202159
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17 20208
18 202010
19 201638
20
Cause of relapse for drug addiction after lesioning in bilateral nucleus accumbens with stereotactic surgery: One-year follow-up
20061

About Jiang Li

Jiang Li is a scholar working on Rehabilitation, Neurology, Epidemiology, Neurology and Health Information Management, having authored 179 papers that have together received 5.1k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (29 papers), Cerebrovascular and Carotid Artery Diseases (14 papers), Stroke Rehabilitation and Recovery (12 papers), Genomics, phytochemicals, and oxidative stress (9 papers), Genetic Associations and Epidemiology (8 papers), Gene expression and cancer classification (7 papers), Artificial Intelligence in Healthcare (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Biological Psychiatry (137 citations), Developmental Neuroscience (154 citations), Neurology (276 citations), Molecular Biology (2.3k citations) and General Dentistry (55 citations). Jiang Li has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Jeffrey A. Johnson, Delinda A. Johnson, Marcus J. Calkins, Vida Abedi, Ramin Zand, Durgesh Chaudhary, Thor D. Stein, Jong‐Min Lee, Andrew D. Kraft and Shima Shahjouei. Their work appears in journals such as Journal of Clinical Medicine, PLoS ONE, Journal of the Neurological Sciences, Stroke and Journal of Crystal Growth.

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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