Hui Ma

3.1k citations
129 papers · 2.4k · h-index 27

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatitis C virus research 9
    • Hepatocellular Carcinoma Treatment and Prognosis 4
    • Liver Diseases and Immunity 4
    • Hepatitis B Virus Studies 20
    • Liver Disease Diagnosis and Treatment 19

Hui Ma

122 papers receiving 2.4k citations

Peers

Hui Ma
Comparison fields: 5 of 125
  • Hepatology 311
  • Epidemiology 555
  • Developmental Neuroscience 54
  • Endocrinology, Diabetes and Metabolism 203
  • Cancer Research 127
Replace Vikram Sharma with:
Vikram Sharma United States
Karl Heinz Weiss Germany
Chengwei Tang China
Ian Neil Hines United States
Wenxuan Yang United Kingdom
Yoshiya Ito Japan
Jiin‐Haur Chuang Taiwan
Kejiang Cao China
Yan Zhao China
Hui Ma relative to Vikram Sharma United States Vikram Sharma's profile →
Citations per field
00.5×2×3×3.8×
Vikram Sharma · 1×
Citations per year

Countries citing papers authored by Hui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Hui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016186
2 2009113
3 202097
4 201793
5 202278
6 201471
7 201770
8 201663
9 201855
10 200949
11 201048
12 201244
13 201743
14 201542
15 201740
16 201839
17 201536
18 201636
19 201635
20 201735

About Hui Ma

Hui Ma is a scholar working on Hepatology, Epidemiology, Cancer Research, Immunology and Molecular Biology, having authored 129 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (20 papers), Liver Disease Diagnosis and Treatment (19 papers), Hepatitis C virus research (9 papers), Bone health and osteoporosis research (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Vitamin D Research Studies (4 papers), Liver Diseases and Immunity (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Hepatology (311 citations), Epidemiology (555 citations), Developmental Neuroscience (54 citations), Endocrinology, Diabetes and Metabolism (203 citations) and Cancer Research (127 citations). Hui Ma has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xin Gao, Huandong Lin, Ming-Feng Xia, Yu Hu, Jian Gao, Qiqige Aleteng, Xiaoming Li, Baishen Pan, Wanyuan He and Lai Wei. Their work appears in journals such as PLoS ONE, Journal of Gastroenterology and Hepatology, Alimentary Pharmacology & Therapeutics, Scientific Reports and Hepatology International.

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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