Michael J. Li

40 papers receiving 1.2k citations

Michael J. Li's Hit Papers

Association of the Extent of Resection With Survival in Glioblastoma 2016 · 707 citations
7070+3+6Years since publication200400600

Peers

Michael J. Li
Comparison fields: 5 of 116
  • Genetics 579
  • Biological Psychiatry 37
  • Epidemiology 395
  • Infectious Diseases 205
  • Radiology, Nuclear Medicine and Imaging 247
Replace Rafael Valenzuela with:
Rafael Valenzuela United States
Valentina Bianchi Italy
Paul Wakim United States
Deborah Robertson United Kingdom
Fangping Chen China
Pamela L. Wolters United States
Changqing Wang China
Xin Tong United States
Ming Lee United States
Jane H. Cerhan United States
Michael J. Li relative to Rafael Valenzuela United States Rafael Valenzuela's profile →
Citations per field
00.5×4.4×
Rafael Valenzuela · 1×
Citations per year

Countries citing papers authored by Michael J. Li

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Association of the Extent of Resection With Survival in Glioblastoma
Hit paper breakdown →
2016707
2 201563
3 201551
4 201637
5 201936
6 201431
7 201531
8 201728
9 201523
10 201919
11 201819
12 201318
13 201918
14 201916
15 202215
16 201915
17 202112
18 202012
19 202211
20 202011

About Michael J. Li

Michael J. Li is a scholar working on Infectious Diseases, Epidemiology, General Health Professions, Social Psychology and Virology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (18 papers), HIV, Drug Use, Sexual Risk (16 papers), HIV Research and Treatment (7 papers), Adolescent Sexual and Reproductive Health (7 papers), LGBTQ Health, Identity, and Policy (6 papers), Homelessness and Social Issues (5 papers), Cannabis and Cannabinoid Research (4 papers) and Mindfulness and Compassion Interventions (3 papers). The work is most often cited by research in Genetics (579 citations), Biological Psychiatry (37 citations), Epidemiology (395 citations), Infectious Diseases (205 citations) and Radiology, Nuclear Medicine and Imaging (247 citations). Michael J. Li has collaborated with scholars based in United States, Vietnam and South Africa. Frequent co-authors include Timothy J. Brown, Ephraim W. Church, Matthew Brennan, Kevin Rakszawski, Raymond Sawaya, Dima Suki, Elias Rizk, Akshal Patel, Michael Glantz and Nicholas Brandmeir. Their work appears in journals such as Drug and Alcohol Dependence, Addiction, Culture Health & Sexuality, AIDS Education and Prevention and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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