Mingming Li

981 citations
44 papers · 638 · h-index 16

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

Mingming Li

37 papers receiving 632 citations

Peers

Mingming Li
Comparison fields: 5 of 123
  • Hepatology 70
  • Epidemiology 99
  • Industrial and Manufacturing Engineering 28
  • Cancer Research 37
  • Cell Biology 41
Replace Shoko Kimura with:
Shoko Kimura United States
Yuanyuan Chen China
Jinhong Liu China
Tatsuya Segawa Japan
Ke Zheng China
Luoyan Ai China
Yaqi Wang China
Chunyan Lan China
Xu Yang China
Takeo Yasuda Japan
Mingming Li relative to Shoko Kimura United States Shoko Kimura's profile →
Citations per field
00.5×1.5×2.4×
Shoko Kimura · 1×
Citations per year

Countries citing papers authored by Mingming Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022117
2 201441
3 201736
4 201735
5 201135
6 201732
7 201929
8 201427
9 202426
10 201726
11 201323
12 201923
13 202421
14 201617
15 202016
16 202216
17 202114
18 202213
19
Cerebral lipiodol embolism following transcatheter arterial chemoembolization for hepatocellular carcinoma: a report of two cases and literature review.
201112
20 202310

About Mingming Li

Mingming Li is a scholar working on Molecular Biology, Oncology, Epidemiology, Hepatology and Surgery, having authored 44 papers that have together received 638 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Liver Disease and Transplantation (3 papers), Pain Mechanisms and Treatments (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (70 citations), Epidemiology (99 citations), Industrial and Manufacturing Engineering (28 citations), Cancer Research (37 citations) and Cell Biology (41 citations). Mingming Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuhan Lin, Tao Ding, Xuefei Zhang, Mianping Zheng, Jing Gu, Guonian Wang, Ji A. Sohn, Christoph Seeger, Xiaoyan Duan and Fei Li. Their work appears in journals such as Heliyon, Cancer Biomarkers, The FASEB Journal, Dyes and Pigments and Disease Markers.

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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