Xinming Li

1.6k citations
83 papers · 1.3k indexed · h-index 21

Impact in

Papers in

Xinming Li

77 papers receiving 1.2k citations

Peers

Xinming Li
Comparison fields: 5 of 124
  • Pharmaceutical Science 125
  • Molecular Medicine 78
  • Cancer Research 127
  • Biological Psychiatry 19
  • Hepatology 58
Replace Özlem Kutlu with:
Özlem Kutlu Türkiye
Wenping Zhang China
Seiichi Kobayashi Japan
Shuangshuang Li China
Farzana Parveen Pakistan
Ruchi Malik India
David M. Richards Germany
Mircea Tampa Romania
Jing Han China
Rui Yang China
Xinming Li relative to Özlem Kutlu Türkiye Özlem Kutlu's profile →
Citations per field
00.5×10×15×19×
Özlem Kutlu · 1×
Citations per year

Countries citing papers authored by Xinming Li

Since Specialization
Citations

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

Fields of papers citing papers by Xinming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202330
4 202356
5 20231
6 202214
7 202222
8 20225
9 202110
10 20215
11 20217
12 202013
13 20203
14 20209
15 201614
16 201312
17 20136
18 20094
19 200834
20
[Comparison of coronary plaque composition between patients with acute coronary syndrome and stable coronary artery disease].
20081

About Xinming Li

Xinming Li is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Cancer Research and Virology, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cardiac Imaging and Diagnostics (5 papers), Cancer-related molecular mechanisms research (5 papers), Genomics and Phylogenetic Studies (4 papers), Microbial Natural Products and Biosynthesis (4 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Pharmaceutical Science (125 citations), Molecular Medicine (78 citations), Cancer Research (127 citations), Biological Psychiatry (19 citations) and Hepatology (58 citations). Xinming Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yingde Cui, Andrew W. Lloyd, Sergey V. Mikhalovsky, Liao Liewen, Susan Sandeman, Ming Fang, Jianguo Fang, Yanan Hou, Juan Yao and Jianqiang Xu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, PLoS ONE, European Radiology, NMR in Biomedicine and International Journal of Surgery.

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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