Ming Li

11.9k citations
340 papers · 7.9k · 2 hit papers · h-index 45

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 9
    • Congenital heart defects research 9
    • Pancreatic function and diabetes 27

Ming Li

314 papers receiving 7.8k citations

Ming Li's Hit Papers

Inflammation: Roles in Skeletal Muscle Atrophy 2022 · 182 citations
1820+2+4Years since publication250500750

Peers

Ming Li
Comparison fields: 5 of 163
  • Behavioral Neuroscience 242
  • Infectious Diseases 925
  • Endocrinology, Diabetes and Metabolism 654
  • Immunology 695
  • Molecular Biology 2.0k
Replace John A. Wagner with:
John A. Wagner United States
Thomas P. Davis United States
Hayder M. Al‐kuraishy Iraq
Roberto Vettor Italy
Ali I. Al‐Gareeb Iraq
Franck Mauvais‐Jarvis United States
Michelino Di Rosa Italy
Kenji Maeda Japan
Corrado Blandizzi Italy
Hong Liu China
Ming Li relative to John A. Wagner United States John A. Wagner's profile →
Citations per field
00.5×4.1×
John A. Wagner · 1×
Citations per year

Countries citing papers authored by Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 340 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study
Hit paper breakdown →
2020987
2 2014212
3
Inflammation: Roles in Skeletal Muscle Atrophy
Hit paper breakdown →
2022182
4 2012144
5 2003140
6 2012139
7 2002138
8 2019134
9 2015133
10 2010112
11 199997
12 201196
13 202293
14 201392
15 200488
16 200383
17 200481
18 199981
19 201177
20 201677

About Ming Li

Ming Li is a scholar working on Molecular Biology, Surgery, Epidemiology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 340 papers that have together received 7.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (27 papers), COVID-19 Clinical Research Studies (14 papers), Systemic Lupus Erythematosus Research (13 papers), Stress Responses and Cortisol (13 papers), Neuroendocrine regulation and behavior (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Metabolism, Diabetes, and Cancer (9 papers) and Congenital heart defects research (9 papers). The work is most often cited by research in Behavioral Neuroscience (242 citations), Infectious Diseases (925 citations), Endocrinology, Diabetes and Metabolism (654 citations), Immunology (695 citations) and Molecular Biology (2.0k citations). Ming Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Judith A. Whitworth, Wen Wang, Juan Du, Ming Hu, Peng Peng, Qi Zhu, Huan‐Zhong Shi, Alison S. Fleming, Ahsan Husain and Robert M. Graham. Their work appears in journals such as Lupus, Clinical and Experimental Pharmacology and Physiology, Scientific Reports, Journal of Hypertension and Cell Death and Disease.

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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