Michael Li

34 papers receiving 317 citations

Peers

Michael Li
Comparison fields: 5 of 101
  • Geriatrics and Gerontology 47
  • Aging 12
  • Emergency Medical Services 44
  • Pharmacy 28
  • Health Information Management 25
Replace Petra J. van Gurp with:
Petra J. van Gurp Netherlands
Kevin Shi United States
Leila Esmaeilisaraji Canada
Katherine Hahn United States
Neda Pak Iran
Molly J. Horstman United States
Yusuf Aydemir Türkiye
Lina Karout United States
Smaranda Diaconescu Romania
Irene B. Murimi United States
Michael Li relative to Petra J. van Gurp Netherlands Petra J. van Gurp's profile →
Citations per field
00.5×1.5×2.4×
Petra J. van Gurp · 1×
Citations per year

Countries citing papers authored by Michael Li

Since Specialization
Citations

This map shows the geographic impact of Michael 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 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 Li more than expected).

Fields of papers citing papers by Michael Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201859
2 201547
3 199738
4 201824
5 201815
6 199513
7 202112
8 201212
9 202211
10 201811
11 202111
12 20239
13 20218
14 20227
15 20216
16 20235
17 20205
18 20215
19 20214
20 20233

About Michael Li

Michael Li is a scholar working on Surgery, Infectious Diseases, Epidemiology, Psychiatry and Mental health and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 327 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Sexual function and dysfunction studies (4 papers), Long-Term Effects of COVID-19 (3 papers), Urinary Bladder and Prostate Research (3 papers), Patient Safety and Medication Errors (3 papers), COVID-19 and healthcare impacts (3 papers), Healthcare professionals’ stress and burnout (2 papers) and Pelvic floor disorders treatments (2 papers). The work is most often cited by research in Geriatrics and Gerontology (47 citations), Aging (12 citations), Emergency Medical Services (44 citations), Pharmacy (28 citations) and Health Information Management (25 citations). Michael Li has collaborated with scholars based in United States, Australia and China. Frequent co-authors include David C. Classen, Michelle J Hunt, Christine Sammer, Bjoern Schwer, Stephen L. Helfand, Jason G. Wood, Davis A. Hartnett, Eric Verdin, Terry V. Shaw and Lee Adler. Their work appears in journals such as Journal of Patient Safety, Australasian Journal of Dermatology, International Journal of Impotence Research, Scientific Reports and Health Affairs.

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.

Explore authors with similar magnitude of impact