Ming Pan

591 total citations
13 papers, 92 citations indexed

About

Ming Pan is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Ming Pan has authored 13 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 5 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Ming Pan's work include Influenza Virus Research Studies (5 papers), Viral Infections and Vectors (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Ming Pan is often cited by papers focused on Influenza Virus Research Studies (5 papers), Viral Infections and Vectors (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Ming Pan collaborates with scholars based in China and United States. Ming Pan's co-authors include Huiping Yang, Shusen He, Linlin Zhou, Jianan Xu, Mingyuan Li, Ting Huang, Chuan Wang, Bo Hong, Shumei Zou and Yu Kuang and has published in prestigious journals such as Virology, Clinical Microbiology and Infection and BMC Microbiology.

In The Last Decade

Ming Pan

12 papers receiving 90 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Pan China 7 54 39 24 16 12 13 92
Timothy Byaruhanga Uganda 6 77 1.4× 43 1.1× 24 1.0× 6 0.4× 8 0.7× 15 115
Zhongfa Tao China 6 41 0.8× 17 0.4× 14 0.6× 8 0.5× 10 0.8× 10 96
Yuanzhao Zhu China 9 27 0.5× 86 2.2× 39 1.6× 21 1.3× 14 1.2× 22 158
Hervé Kadjo Ivory Coast 7 116 2.1× 58 1.5× 32 1.3× 12 0.8× 5 0.4× 17 146
Anwar Isa Abd Elal United States 5 127 2.4× 37 0.9× 23 1.0× 21 1.3× 12 1.0× 5 143
Michael Hassman United States 3 81 1.5× 32 0.8× 23 1.0× 7 0.4× 7 0.6× 5 89
Awatef El Moussi Tunisia 7 82 1.5× 58 1.5× 14 0.6× 6 0.4× 16 1.3× 13 112
Luis A. Haddock United States 3 28 0.5× 48 1.2× 13 0.5× 12 0.8× 6 0.5× 4 84
Isabelle Daviaud France 8 277 5.1× 62 1.6× 38 1.6× 27 1.7× 13 1.1× 10 293

Countries citing papers authored by Ming Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Pan. A scholar is included among the top collaborators of Ming Pan 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 Ming Pan. Ming Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
2.
Feng, Yu, Wei Li, Ming Jiang, et al.. (2025). Laboratory Diagnosis and Molecular Epidemiological Characterization of the First Imported Case of Lassa Fever in China.. PubMed. 38(3). 279–289. 1 indexed citations
3.
Feng, Yuliang, Xiang Zhao, Tāo Luò, et al.. (2022). Emergence of a SARS-CoV-2 Omicron Subvariant BA.2.2 with a 454-Nucleotide Genomic Deletion — Sichuan Province, China, May 10, 2022. China CDC Weekly. 4(40). 904–906. 2 indexed citations
4.
Zhou, Linlin, Huiping Yang, Wen Pan, et al.. (2022). Association between meteorological factors and the epidemics of influenza (sub)types in a subtropical basin of Southwest China. Epidemics. 41. 100650–100650. 11 indexed citations
5.
Zhang, Cheng, et al.. (2021). Beware of pharyngeal Fusobacterium nucleatum in COVID-19. BMC Microbiology. 21(1). 277–277. 10 indexed citations
6.
Pan, Ming, Cheng Zhang, Hongyu Liao, et al.. (2021). Detection of SARS-CoV-2 in fecal samples with different pretreatment methods and PCR kits. BMC Microbiology. 21(1). 56–56. 9 indexed citations
7.
Liu, Li, Yuliang Feng, Xiang Zhao, et al.. (2021). The First Case of COVID-19 by an A.27 Lineage Variant Detected in a Returning Employee — Sichuan Province, China, January 7, 2021. China CDC Weekly. 3(34). 725–727. 1 indexed citations
8.
Xu, Jianan, Ye Wang, You Li, et al.. (2020). A Case Study of Applying Metagenomic Sequencing in Precise Epidemiology for the COVID-19 Pandemic — Sichuan Province, China, 2020. China CDC Weekly. 2(47). 897–901. 1 indexed citations
9.
Zhou, Linlin, Huiping Yang, Yu Kuang, et al.. (2019). Temporal patterns of influenza A subtypes and B lineages across age in a subtropical city, during pre-pandemic, pandemic, and post-pandemic seasons. BMC Infectious Diseases. 19(1). 290–290. 20 indexed citations
10.
Pan, Ming, et al.. (2019). Association of meteorological factors with seasonal activity of influenza A subtypes and B lineages in subtropical western China. Epidemiology and Infection. 147. e72–e72. 15 indexed citations
11.
Li, Wei, Ming Pan, Xingyu Zhou, et al.. (2017). First isolation and identification of Getah virus SC1210 in Sichuan. 31(1). 2–7. 1 indexed citations
12.
Pan, Ming, Xiaohui Zou, Xiang Zhao, et al.. (2016). Post-mortem findings in a patient with avian influenza A (H5N6) virus infection. Clinical Microbiology and Infection. 22(6). 574.e1–574.e5. 15 indexed citations
13.
Gao, Rongbao, Tian Bai, Xiaodan Li, et al.. (2015). The comparison of pathology in ferrets infected by H9N2 avian influenza viruses with different genomic features. Virology. 488. 149–155. 6 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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