Xiaokun Ma

1.4k citations
70 papers · 1.1k indexed · h-index 18

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer, Lipids, and Metabolism
    • MicroRNA in disease regulation

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 15
    • Hepatitis C virus research 4
    • Cancer, Lipids, and Metabolism 12

Xiaokun Ma

64 papers receiving 1.1k citations

Peers

Xiaokun Ma
Comparison fields: 5 of 93
  • Hepatology 212
  • Cancer Research 281
  • Geriatrics and Gerontology 61
  • Oncology 358
  • Epidemiology 292
Replace Huanyu Zhao with:
Huanyu Zhao China
Myoung Jae Kang South Korea
Johanne Poisson France
Soichiro Honjo Japan
Chengyong Qin China
Yu Sunakawa Japan
Genshu Wang China
Daniel Motola‐Kuba Mexico
Anne Demols Belgium
Zhao‐Ru Dong China
Xiaokun Ma relative to Huanyu Zhao China Huanyu Zhao's profile →
Citations per field
00.5×1.5×2.0×
Huanyu Zhao · 1×
Citations per year

Countries citing papers authored by Xiaokun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202312
3 20231
4 20235
5 20231
6 20227
7 202015
8 20192
9 201910
10 201942
11 201812
12 201716
13 201721
14 201610
15 20155
16 201435
17 20142
18 20131
19 20127
20 20109

About Xiaokun Ma

Xiaokun Ma is a scholar working on Hepatology, Cancer Research, Oncology, Epidemiology and Otorhinolaryngology, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Liver Disease Diagnosis and Treatment (14 papers), Cancer, Lipids, and Metabolism (12 papers), Inflammatory Biomarkers in Disease Prognosis (10 papers), Hepatitis B Virus Studies (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Ferroptosis and cancer prognosis (5 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Hepatology (212 citations), Cancer Research (281 citations), Geriatrics and Gerontology (61 citations), Oncology (358 citations) and Epidemiology (292 citations). Xiaokun Ma has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Xing Li, Zhan‐Hong Chen, Qu Lin, Jing‐Yun Wen, Dong‐Hao Wu, Dan‐Yun Ruan, Xiangyuan Wu, Min Dong, Yan‐Fang Xing and Liyuan Zou. Their work appears in journals such as Journal of Clinical Oncology, Tumor Biology, Biomedicine & Pharmacotherapy, Journal of Cancer and Molecular Biology Reports.

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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