Baofa Jiang

2.5k citations
91 papers · 1.9k indexed · h-index 28

Impact in

Papers in

Baofa Jiang

90 papers receiving 1.9k citations

Peers

Baofa Jiang
Comparison fields: 5 of 142
  • Health, Toxicology and Mutagenesis 681
  • Infectious Diseases 673
  • Modeling and Simulation 123
  • Emergency Medical Services 117
  • Global and Planetary Change 254
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Revati Phalkey United Kingdom
Wei Ma China
Laurent Filleul France
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Ronald L. Moolenaar United States
Isabel Oliver United Kingdom
Carol Y. Rao United States
Jyotsna S. Jagai United States
Meghnath Dhimal Nepal
Martine Ledrans France
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Citations per field
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Citations per year

Countries citing papers authored by Baofa Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Baofa Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011126
2 201365
3 201361
4 201355
5 201651
6 201448
7 201448
8 201746
9 201145
10 201743
11 201643
12 201140
13 201639
14 201138
15 202036
16 201135
17 201334
18 201333
19 201033
20 201833

About Baofa Jiang

Baofa Jiang is a scholar working on Infectious Diseases, Health, Toxicology and Mutagenesis, Epidemiology, General Health Professions and Sociology and Political Science, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Climate Change and Health Impacts (32 papers), HIV, Drug Use, Sexual Risk (13 papers), HIV/AIDS Research and Interventions (12 papers), Sex work and related issues (11 papers), Air Quality and Health Impacts (10 papers), Viral Infections and Vectors (10 papers), Viral gastroenteritis research and epidemiology (10 papers) and Global Health Care Issues (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (681 citations), Infectious Diseases (673 citations), Modeling and Simulation (123 citations), Emergency Medical Services (117 citations) and Global and Planetary Change (254 citations). Baofa Jiang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qiyong Liu, Ying Zhang, Guoyong Ding, Zhidong Liu, Wei Ma, Xiaodong Liu, Weizhong Yang, Zhidong Liu, Lu Gao and Xuena Liu. Their work appears in journals such as PLoS ONE, The Science of The Total Environment, Environmental Research, International Journal of Environmental Research and Public Health and American Journal of Tropical Medicine and Hygiene.

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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