Ming Sun

1.8k citations
37 papers · 1.1k · 1 hit paper · h-index 15

Impact in

Papers in

Ming Sun

33 papers receiving 1.1k citations

Ming Sun's Hit Papers

Drug repurposing for cancer therapy 2024 · 168 citations
1680+1Years since publication50100150

Peers

Ming Sun
Comparison fields: 5 of 133
  • Obstetrics and Gynecology 111
  • Physiology 247
  • Radiology, Nuclear Medicine and Imaging 166
  • Nephrology 49
  • Cell Biology 111
Replace Honghong Liu with:
Honghong Liu China
Kang Wang China
Dong Tian China
A. H. Zwinderman Netherlands
Natascia Campostrini Italy
Serdar Uğraş Türkiye
Shannon D. McClintock United States
Naeun Lee South Korea
Neeraj Agrawal India
Bo Hu China
Ming Sun relative to Honghong Liu China Honghong Liu's profile →
Citations per field
00.5×4.4×
Honghong Liu · 1×
Citations per year

Countries citing papers authored by Ming Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ming Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Sun, 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 Sun Line = papers co-authored together Ming Sun 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 1992207
2 1997171
3
Drug repurposing for cancer therapy
Hit paper breakdown →
2024168
4 202074
5 200364
6 199763
7 199761
8 202060
9 202034
10 201327
11 199926
12 199223
13 201322
14 202321
15 201914
16
Awareness and usage of information standards in the uk construction industry: a survey by the SIENE network
200114
17 201613
18 20079
19 20248
20 20227

About Ming Sun

Ming Sun is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Muscle metabolism and nutrition (3 papers), Gastric Cancer Management and Outcomes (3 papers), Protein Degradation and Inhibitors (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), MRI in cancer diagnosis (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Obstetrics and Gynecology (111 citations), Physiology (247 citations), Radiology, Nuclear Medicine and Imaging (166 citations), Nephrology (49 citations) and Cell Biology (111 citations). Ming Sun has collaborated with scholars based in China and United States. Frequent co-authors include Ying Xia, Weilin Jin, Hai Huang, JO Hill, JC Peters, Zuo‐Feng Zhang, Robert C. Kurtz, Susan Harlap, Martin S. Karpeh and Guo‐Pei Yu. Their work appears in journals such as Cancer, Agronomy, American Journal of Clinical Nutrition, Journal of Parenteral and Enteral Nutrition and Vaccine.

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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