Quanman Li

33 papers receiving 755 citations

Peers

Quanman Li
Comparison fields: 5 of 126
  • Health 160
  • Modeling and Simulation 75
  • Clinical Psychology 166
  • Infectious Diseases 127
  • Cardiology and Cardiovascular Medicine 106
Replace Carlos J. Toro‐Huamanchumo with:
Carlos J. Toro‐Huamanchumo Peru
Divjyot Kaur India
Devyani Ramgobin United States
Sally F. Shaw United States
Jamie L. Benham Canada
Konstantinos Giannakou Cyprus
Lauren Opsasnick United States
Fatemeh Torabi United Kingdom
Md Shajedur Rahman Shawon Australia
Hossein Mozafar Saadati Iran
Quanman Li relative to Carlos J. Toro‐Huamanchumo Peru Carlos J. Toro‐Huamanchumo's profile →
Citations per field
00.5×1.5×2.0×
Carlos J. Toro‐Huamanchumo · 1×
Citations per year

Countries citing papers authored by Quanman Li

Since Specialization
Citations

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

Fields of papers citing papers by Quanman Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020178
2 202191
3 202085
4 201959
5 202035
6 202327
7 202124
8 202022
9 201920
10 202120
11 202019
12 202119
13 202118
14 202117
15 202216
16 202114
17 202214
18 202110
19 202010
20 20249

About Quanman Li

Quanman Li is a scholar working on Health, Infectious Diseases, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 768 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Obesity, Physical Activity, Diet (6 papers), Nutritional Studies and Diet (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), COVID-19 epidemiological studies (4 papers), Diet, Metabolism, and Disease (3 papers) and Emergency and Acute Care Studies (3 papers). The work is most often cited by research in Health (160 citations), Modeling and Simulation (75 citations), Clinical Psychology (166 citations), Infectious Diseases (127 citations) and Cardiology and Cardiovascular Medicine (106 citations). Quanman Li has collaborated with scholars based in China, Tanzania and United States. Frequent co-authors include Jian Wu, Clifford Silver Tarimo, Yudong Miao, Cuiping Wu, Xin Zeng, Dongsheng Hu, Qionggui Zhou, Dechen Liu, Meiyun Wang and Xiaoyan Wu. Their work appears in journals such as Journal of Affective Disorders, Journal of Human Hypertension, Nutrition Metabolism and Cardiovascular Diseases, BMJ Open and Frontiers in Public Health.

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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