Xiaoming Su

1.1k citations
47 papers · 762 · h-index 13

Impact in

Papers in

Xiaoming Su

43 papers receiving 754 citations

Peers

Xiaoming Su
Comparison fields: 5 of 118
  • Cancer Research 173
  • Health Informatics 8
  • Oncology 120
  • Genetics 44
  • Infectious Diseases 76
Replace Funda Yılmaz with:
Funda Yılmaz Türkiye
Xin Qian China
Susanne A. Gatz United Kingdom
Gloria Ravegnini Italy
Vesna Brglez France
Monika Lamba Saini India
Xueping Qiu China
Ruyuan He China
Giuseppe Fanetti Italy
Bo Hao China
Xiaoming Su relative to Funda Yılmaz Türkiye Funda Yılmaz's profile →
Citations per field
00.5×1.5×2.3×
Funda Yılmaz · 1×
Citations per year

Countries citing papers authored by Xiaoming Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020141
2 2011124
3 2015102
4 202055
5 201749
6 200827
7 202319
8 201619
9 201017
10 201016
11
Successful treatment of recurrent Kimura's disease with radiotherapy: a case report.
201413
12 201012
13 201912
14 202011
15 202111
16 202311
17 201811
18 20249
19 20209
20 20209

About Xiaoming Su

Xiaoming Su is a scholar working on Molecular Biology, Cancer Research, Oncology, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine, having authored 47 papers that have together received 762 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (2 papers), Blood Pressure and Hypertension Studies (2 papers), melanin and skin pigmentation (2 papers), COVID-19 Clinical Research Studies (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Cancer-related molecular mechanisms research (2 papers), Folate and B Vitamins Research (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (173 citations), Health Informatics (8 citations), Oncology (120 citations), Genetics (44 citations) and Infectious Diseases (76 citations). Xiaoming Su has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Weiwei Liu, Guoli Li, Yi Shuai, Li Liao, Hong Zhou, Jun-Ye Liu, Guirong Ding, Guozhen Guo, Jing Li and Jie Zhang. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Radiation Research, Natural Product Communications, Journal of Biological Education and DNA and Cell Biology.

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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