Jonathan Li

46 papers receiving 288 citations

Peers

Jonathan Li
Comparison fields: 5 of 78
  • Otorhinolaryngology 18
  • Anesthesiology and Pain Medicine 23
  • Microbiology 2
  • Occupational Therapy 9
  • Public Health, Environmental and Occupational Health 56
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N Mackenzie United Kingdom
Henrik Bergquist Sweden
Kashif Mazhar United States
Bahram Rahmani United States
Ian Jacobson Australia
Dolores Ferrara Italy
Elena Battistini Italy
Božidar Župančić Croatia
Arthur Mourtzinos United States
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Jonathan Li relative to N Mackenzie United Kingdom N Mackenzie's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jonathan Li

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 201934
3 200723
4 201521
5 201620
6 201714
7 201714
8 201912
9 201810
10 20158
11 20127
12 20206
13 20205
14 20215
15 20215
16 20204
17 20174
18 20184
19 20094
20 20224

About Jonathan Li

Jonathan Li is a scholar working on Surgery, Immunology, Oncology, Epidemiology and Economics and Econometrics, having authored 52 papers that have together received 290 indexed citations. Recurring topics across this work include Healthcare Policy and Management (6 papers), Economic and Financial Impacts of Cancer (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Immunotherapy and Immune Responses (3 papers), Primary Care and Health Outcomes (3 papers), Diagnosis and treatment of tuberculosis (3 papers), Tuberculosis Research and Epidemiology (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Otorhinolaryngology (18 citations), Anesthesiology and Pain Medicine (23 citations), Microbiology (2 citations), Occupational Therapy (9 citations) and Public Health, Environmental and Occupational Health (56 citations). Jonathan Li has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Anthony M. Szema, Ernest Fraenkel, Russell W. Hinerman, Chihray Liu, William M. Mendenhall, Robert J. Amdur, James M. Dupree, Albee Messing, Mel Β. Feany and Jing Xia. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cancer Research, Urology, Journal of Occupational and Environmental Medicine and Journal of Oncology Practice.

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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