Xiaoming Cheng

3.9k citations
67 papers · 1.9k indexed · 1 hit paper · h-index 21

Impact in

Papers in

    • Hepatitis C virus research 12
    • Hepatitis Viruses Studies and Epidemiology 5
    • Cancer, Hypoxia, and Metabolism 6
    • Breast Cancer Treatment Studies 6

Xiaoming Cheng

63 papers receiving 1.9k citations

Hit Papers

Profiling serum cytokines in COVID-19 patients reveals IL-6 and IL-10 are disease severity predictors 2020 · 830 citations
8302020202620222024250500750

Peers

Xiaoming Cheng
Comparison fields: 5 of 122
  • Infectious Diseases 748
  • Hepatology 298
  • Neurology 403
  • Epidemiology 528
  • Immunology 241
Replace Jiong Yu with:
Jiong Yu China
Yingan Jiang China
Prasenjit Das India
Jordan E. Axelrad United States
Carmen Guerrero Spain
Zhongji Meng China
Der‐Yuan Chen Taiwan
Sebastian Weis Germany
Yueyong Zhu China
Yujun Tang China
Xiaoming Cheng relative to Jiong Yu China Jiong Yu's profile →
Citations per field
00.5×1.6×
Jiong Yu · 1×
Citations per year

Countries citing papers authored by Xiaoming Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20241
4 20240
5 20241
6 20241
7 202412
8 202324
9 20236
10 20237
11 202211
12 20223
13
Profiling serum cytokines in COVID-19 patients reveals IL-6 and IL-10 are disease severity predictors
Hit paper breakdown →
2020830
14 202013
15 201912
16 201935
17 20194
18 201845
19 20081
20 20072

About Xiaoming Cheng

Xiaoming Cheng is a scholar working on Hepatology, Cancer Research, Epidemiology, Infectious Diseases and Immunology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (25 papers), Hepatitis C virus research (12 papers), Cancer, Hypoxia, and Metabolism (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Breast Cancer Treatment Studies (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Infectious Diseases (748 citations), Hepatology (298 citations), Neurology (403 citations), Epidemiology (528 citations) and Immunology (241 citations). Xiaoming Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuchen Xia, Chengliang Zhu, Yingan Jiang, Huan Han, Guosheng Gao, Li Zhao, Fang Liu, Rui Liu, Pingan Zhang and Xinghui Liu. Their work appears in journals such as Journal of Virology, Antiviral Research, PLoS Pathogens, Cancer Gene Therapy and Hepatology.

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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