Hào Pān

991 citations
42 papers · 691 · h-index 15

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 12
    • Viral Infections and Vectors 5
    • SARS-CoV-2 and COVID-19 Research 4
    • Respiratory viral infections research 7
    • Influenza Virus Research Studies 4

Hào Pān

41 papers receiving 680 citations

Peers

Hào Pān
Comparison fields: 5 of 79
  • Infectious Diseases 391
  • Agronomy and Crop Science 161
  • Cardiology and Cardiovascular Medicine 272
  • Modeling and Simulation 48
  • Hepatology 48
Replace Julie Garon with:
Julie Garon United States
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Marzia Facchini Italy
Uzma Bashir Aamir Pakistan
Bhagirathi Dwibedi India
Fachun Jiang China
Peter Carrasco United States
Hitoshi Oshitani Japan
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Citations per field
00.5×4.8×
Julie Garon · 1×
Citations per year

Countries citing papers authored by Hào Pān

Since Specialization
Citations

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

Fields of papers citing papers by Hào Pān

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015120
2 201871
3 202059
4 201749
5 201433
6 201531
7 201830
8 201730
9 202025
10 201520
11 200920
12 201316
13 201616
14 201315
15 201815
16 202013
17 202013
18 202011
19 201210
20 201710

About Hào Pān

Hào Pān is a scholar working on Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine, Agronomy and Crop Science and Molecular Biology, having authored 42 papers that have together received 691 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (12 papers), Viral Infections and Immunology Research (11 papers), Animal Disease Management and Epidemiology (10 papers), Respiratory viral infections research (7 papers), COVID-19 epidemiological studies (5 papers), Viral Infections and Vectors (5 papers), Influenza Virus Research Studies (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Infectious Diseases (391 citations), Agronomy and Crop Science (161 citations), Cardiology and Cardiovascular Medicine (272 citations), Modeling and Simulation (48 citations) and Hepatology (48 citations). Hào Pān has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Zheng Teng, Shelan Liu, Huanyu Wu, Ta‐Chien Chan, Shenghua Mao, Said Amer, Wenjia Xiao, Peng Liu, Yunzhi Liu and Ling Wang. Their work appears in journals such as BMC Infectious Diseases, Emerging Microbes & Infections, Frontiers in Microbiology, BMJ Open and Reviews in Medical Virology.

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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