Yi Hu

1.4k citations
71 papers · 931 · h-index 19

Impact in

    • Tuberculosis Research and Epidemiology
    • Viral gastroenteritis research and epidemiology
  • Epidemiology top 10%
    • Mycobacterium research and diagnosis

Papers in

    • Tuberculosis Research and Epidemiology 42
    • Mycobacterium research and diagnosis 13
    • Pneumocystis jirovecii pneumonia detection and treatment 7

Yi Hu

69 papers receiving 920 citations

Peers

Yi Hu
Comparison fields: 5 of 85
  • Infectious Diseases 584
  • Epidemiology 306
  • Cardiology and Cardiovascular Medicine 127
  • Agronomy and Crop Science 62
  • Molecular Medicine 24
Replace Rafael Benito with:
Rafael Benito Spain
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Changtai Zhu China
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Wael Elamin United Kingdom
Yuji Morisawa Japan
M J Ossi United States
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Yi Hu relative to Rafael Benito Spain Rafael Benito's profile →
Citations per field
00.5×6.5×
Rafael Benito · 1×
Citations per year

Countries citing papers authored by Yi Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201863
2 202256
3 201043
4 201541
5 201538
6 201336
7 202035
8 201533
9 201229
10 202029
11 201425
12 202125
13 202024
14 202123
15 201023
16 201918
17 201518
18 201618
19 201918
20 201418

About Yi Hu

Yi Hu is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 71 papers that have together received 931 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (42 papers), Mycobacterium research and diagnosis (13 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers), Infectious Diseases and Tuberculosis (4 papers), Viral Infections and Immunology Research (4 papers), COVID-19 epidemiological studies (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Infectious Diseases (584 citations), Epidemiology (306 citations), Cardiology and Cardiovascular Medicine (127 citations), Agronomy and Crop Science (62 citations) and Molecular Medicine (24 citations). Yi Hu has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Biao Xu, Weili Jiang, Qi Zhao, Xubin Zheng, Linlin Wu, Sven Hoffner, Weibing Wang, Lina Davies Forsman, Judith Bruchfeld and Sven Hoffner. Their work appears in journals such as International Journal of Infectious Diseases, Antimicrobial Agents and Chemotherapy, Clinical Microbiology and Infection, Tuberculosis and BMC Infectious Diseases.

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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