Hào Pān

991 total citations
42 papers, 691 citations indexed

About

Hào Pān is a scholar working on Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hào Pān has authored 42 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 17 papers in Epidemiology and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hào Pān's work include Viral gastroenteritis research and epidemiology (12 papers), Viral Infections and Immunology Research (11 papers) and Animal Disease Management and Epidemiology (10 papers). Hào Pān is often cited by papers focused on Viral gastroenteritis research and epidemiology (12 papers), Viral Infections and Immunology Research (11 papers) and Animal Disease Management and Epidemiology (10 papers). Hào Pān collaborates with scholars based in China, Taiwan and United States. Hào Pān's co-authors include Zheng Teng, Shelan Liu, Huanyu Wu, Ta‐Chien Chan, Shenghua Mao, Said Amer, Wenjia Xiao, Ling Wang, Yunzhi Liu and Peng Liu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Microbiology and International Journal of Environmental Research and Public Health.

In The Last Decade

Hào Pān

41 papers receiving 680 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hào Pān China 15 391 272 201 161 112 42 691
Kisoon Kim South Korea 16 398 1.0× 135 0.5× 364 1.8× 56 0.3× 89 0.8× 63 774
Julie Garon United States 10 422 1.1× 366 1.3× 180 0.9× 51 0.3× 48 0.4× 22 601
Uzma Bashir Aamir Pakistan 15 442 1.1× 75 0.3× 382 1.9× 132 0.8× 24 0.2× 37 657
Wendy Sessions United States 11 313 0.8× 230 0.8× 662 3.3× 105 0.7× 105 0.9× 17 826
Sonia Resik Cuba 15 358 0.9× 321 1.2× 236 1.2× 59 0.4× 37 0.3× 43 636
Marzia Facchini Italy 14 252 0.6× 41 0.2× 473 2.4× 182 1.1× 88 0.8× 30 694
Bhagirathi Dwibedi India 18 350 0.9× 86 0.3× 329 1.6× 34 0.2× 92 0.8× 63 776
Margarita Pons-Salort United Kingdom 13 340 0.9× 388 1.4× 225 1.1× 97 0.6× 75 0.7× 23 566
Lianlian Bian China 16 833 2.1× 758 2.8× 269 1.3× 350 2.2× 361 3.2× 41 1.4k
Fachun Jiang China 14 429 1.1× 82 0.3× 53 0.3× 64 0.4× 30 0.3× 35 647

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-authorship network of co-authors of Hào Pān

This figure shows the co-authorship network connecting the top 25 collaborators of Hào Pān. A scholar is included among the top collaborators of Hào Pān based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hào Pān. Hào Pān is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Yaoguang, Jian Chen, Hào Pān, et al.. (2022). Development and Preliminary Application of a Triplex Real-Time Quantitative PCR Assay for the Simultaneous Detection of Entamoeba histolytica, Giardia lamblia, and Cryptosporidium parvum. Frontiers in Microbiology. 13. 888529–888529. 1 indexed citations
2.
3.
Yang, Zheng, Huanyu Wu, Hào Pān, et al.. (2020). Pre‐symptomatic transmission of novel coronavirus in community settings. Influenza and Other Respiratory Viruses. 14(6). 610–614. 13 indexed citations
4.
Fang, Qiwen, Wenjia Xiao, Xijie Yu, et al.. (2020). [Epidemiological characteristics and measures of prevention and control of imported COVID-19 cases in early phase in Shanghai].. PubMed. 41(12). 2034–2039. 5 indexed citations
5.
Hu, Yi, Lili Xu, Hào Pān, et al.. (2020). Transmission center and driving factors of hand, foot, and mouth disease in China: A combined analysis. PLoS neglected tropical diseases. 14(3). e0008070–e0008070. 1 indexed citations
6.
Lin, Sheng, Hào Pān, Huanyu Wu, et al.. (2020). Epidemiological and clinical characteristics of 161 discharged cases with coronavirus disease 2019 in Shanghai, China. BMC Infectious Diseases. 20(1). 780–780. 6 indexed citations
7.
Chen, Mingliang, Jiehao Cai, Mark R. Davies, et al.. (2020). Increase of emm1 isolates among group A Streptococcus strains causing scarlet fever in Shanghai, China. International Journal of Infectious Diseases. 98. 305–314. 13 indexed citations
8.
9.
10.
Zhang, Yi, Na Zhao, Zhao Yu, et al.. (2017). Comparative Epidemiology of Human Fatal Infections with Novel, High (H5N6 and H5N1) and Low (H7N9 and H9N2) Pathogenicity Avian Influenza A Viruses. International Journal of Environmental Research and Public Health. 14(3). 263–263. 49 indexed citations
11.
Wu, Huanyu, et al.. (2017). Two confirmed cases of severe fever with thrombocytopenia syndrome with pneumonia: implication for a family cluster in East China. BMC Infectious Diseases. 17(1). 537–537. 30 indexed citations
12.
Li, Jian, Jiayu Hu, Huanyu Wu, et al.. (2015). [Etiological surveillance for diarrhea in Shanghai from August 2013 to July 2014].. PubMed. 36(10). 1099–103. 1 indexed citations
13.
Pān, Hào, Shenghua Mao, Yuefang Li, et al.. (2015). [Epidemiological surveillance of hand, foot and mouth disease in Shanghai, 2010-2014].. PubMed. 53(9). 676–83. 8 indexed citations
14.
Pān, Hào, et al.. (2015). [Epidemiology of confirmed and suspected norovirus outbreaks in Shanghai, 2010-2014].. PubMed. 36(11). 1249–52. 5 indexed citations
15.
Pan, Ze‐Ya, Hào Pān, Jin Zhang, et al.. (2015). Lentivirus mediated silencing of Ubiquitin Specific Peptidase 39 inhibits cell proliferation of human hepatocellular carcinoma cells in vitro. Biological Research. 48(1). 18–18. 20 indexed citations
16.
Pān, Hào, Jiayu Hu, Shelan Liu, et al.. (2013). A reported death case of a novel bunyavirus in Shanghai, China. Virology Journal. 10(1). 187–187. 9 indexed citations
17.
Wang, Zhong Lin, Ralf Altmeyer, Aimei Xia, et al.. (2013). The Population-Based Health Effect of Hand, Foot and Mouth Disease in Children in Shanghai. The Pediatric Infectious Disease Journal. 33(5). 448–452. 15 indexed citations
18.
Wu, Junsong, Na Zhao, Hào Pān, et al.. (2013). Patterns of polymorphism and divergence in the VP1 gene of enterovirus 71 circulating in the Asia-Pacific region between 1994 and 2013. Journal of Virological Methods. 193(2). 713–728. 16 indexed citations
19.
He, Yi, Xiang Guo, Dong Chen, et al.. (2012). Public Health Preparedness for the World's Largest Mass Gathering: 2010 World Exposition in Shanghai, China. Prehospital and Disaster Medicine. 27(6). 589–594. 10 indexed citations
20.
Dong, Ying, Shelan Liu, Xiangjun Zhai, et al.. (2009). A serological and molecular survey of hepatitis B in children 15 years after inception of the national hepatitis B vaccination program in eastern China. Journal of Medical Virology. 81(9). 1517–1524. 20 indexed citations

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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