Xiaokun Ma
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
Papers in
- Epidemiology 23
- Liver Disease Diagnosis and Treatment 14
- Hepatitis B Virus Studies 6
- Oncology 22
- Inflammatory Biomarkers in Disease Prognosis 10
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Xing Li (34 shared papers)Zhan‐Hong Chen (28 shared papers)Qu Lin (33 shared papers)Jing‐Yun Wen (28 shared papers)Dong‐Hao Wu (25 shared papers)Dan‐Yun Ruan (24 shared papers)Xiangyuan Wu (28 shared papers)Min Dong (28 shared papers)
- Journals
- Journal of Clinical Oncology (11 papers)Tumor Biology (6 papers)Biomedicine & Pharmacotherapy (3 papers)Journal of Cancer (3 papers)Molecular Biology Reports (2 papers)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Xiaokun Ma
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Hepatology 212
- Cancer Research 281
- Geriatrics and Gerontology 61
- Oncology 358
- Epidemiology 292
Countries citing papers authored by Xiaokun Ma
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
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-authors
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.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2014 | 91 | |
| 3 | 2012 | 87 | |
| 4 | 2014 | 77 | |
| 5 | 2020 | 55 | |
| 6 | 2019 | 49 | |
| 7 | 2019 | 42 | |
| 8 | 2014 | 35 | |
| 9 | 2017 | 35 | |
| 10 | 2017 | 32 | |
| 11 | 2019 | 31 | |
| 12 | 2019 | 29 | |
| 13 | 2020 | 27 | |
| 14 | 2020 | 27 | |
| 15 | 2014 | 26 | |
| 16 | 2017 | 24 | |
| 17 | 2018 | 23 | |
| 18 | 2017 | 21 | |
| 19 | 2017 | 16 | |
| 20 | 2020 | 15 |
About Xiaokun Ma
Xiaokun Ma is a scholar working on Epidemiology, Oncology, Hepatology, Cancer Research and Molecular Biology, 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.