Hanwu Ma

688 citations
25 papers · 533 · h-index 14

Impact in

Papers in

    • Influenza Virus Research Studies 10
    • Respiratory viral infections research 6
    • Data-Driven Disease Surveillance 2
    • Viral gastroenteritis research and epidemiology 5

Hanwu Ma

24 papers receiving 517 citations

Peers

Hanwu Ma
Comparison fields: 5 of 88
  • Endocrinology 97
  • Agronomy and Crop Science 175
  • Modeling and Simulation 49
  • Infectious Diseases 172
  • Epidemiology 230
Replace Xu Xie with:
Xu Xie China
Lisa A. Lee United States
Le Thi Phuong Vietnam
Yoshinori Yasui Japan
Bryna Warshawsky Canada
Shuk Kwan Chuang China
Xuexin Hou China
Genevie Ntshoe South Africa
Anthony C. Ike Nigeria
S Barbuti Italy
Hanwu Ma relative to Xu Xie China Xu Xie's profile →
Citations per field
00.5×1.5×1.8×
Xu Xie · 1×
Citations per year

Countries citing papers authored by Hanwu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Hanwu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013114
2 201470
3 201056
4 201451
5 201235
6 201521
7 201619
8 201517
9 201716
10 201616
11 201715
12 201015
13 201414
14 201813
15 201512
16 20199
17 20148
18 20168
19
[Sero-epidemiological investigation on hepatitis B among permanent residents in Shenzhen area].
20138
20 20136

About Hanwu Ma

Hanwu Ma is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Endocrinology, having authored 25 papers that have together received 533 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Animal Disease Management and Epidemiology (7 papers), Respiratory viral infections research (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Viral Infections and Immunology Research (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Vibrio bacteria research studies (3 papers) and Data-Driven Disease Surveillance (2 papers). The work is most often cited by research in Endocrinology (97 citations), Agronomy and Crop Science (175 citations), Modeling and Simulation (49 citations), Infectious Diseases (172 citations) and Epidemiology (230 citations). Hanwu Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jinquan Cheng, Xu Xie, Yaqing He, Jinquan Cheng, Hong Yang, Xiangjie Yao, Renli Zhang, Long Chen, Yiman Lin and Xiaolu Shi. Their work appears in journals such as PLoS ONE, Foodborne Pathogens and Disease, Clinical Infectious Diseases, Food and Environmental Virology and Vaccine.

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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