Pan Pan

3.1k citations
60 papers · 1.8k · h-index 20

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors
  • Immunology top 5%
    • interferon and immune responses

Papers in

    • Inflammasome and immune disorders 10
    • SARS-CoV-2 and COVID-19 Research 7
    • COVID-19 Clinical Research Studies 6
    • Viral Infections and Vectors 5

Pan Pan

58 papers receiving 1.8k citations

Peers

Pan Pan
Comparison fields: 5 of 121
  • Infectious Diseases 507
  • Immunology 444
  • Biological Psychiatry 32
  • Molecular Biology 789
  • Neurology 124
Replace Seungwha Paik with:
Seungwha Paik South Korea
Pinhua Pan China
Prashanta Silwal South Korea
Xinran Li China
Luciana P. Tavares Brazil
Prasun K. Datta United States
Sebastian Weis Germany
Balaji Banoth United States
Yuichi Maeda Japan
Qi Wu China
Pan Pan relative to Seungwha Paik South Korea Seungwha Paik's profile →
Citations per field
00.5×3.5×
Seungwha Paik · 1×
Citations per year

Countries citing papers authored by Pan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Pan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020199
2 2020181
3 2021166
4 2018165
5 2020129
6 201878
7 202167
8 202066
9 201961
10 201561
11 202353
12 202151
13 201451
14 202248
15 201843
16 202036
17 202225
18 202223
19 202420
20 202219

About Pan Pan

Pan Pan is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Epidemiology and Neurology, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (10 papers), interferon and immune responses (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (6 papers), Viral Infections and Vectors (5 papers), Sepsis Diagnosis and Treatment (4 papers), Mosquito-borne diseases and control (4 papers) and Long-Term Effects of COVID-19 (4 papers). The work is most often cited by research in Infectious Diseases (507 citations), Immunology (444 citations), Biological Psychiatry (32 citations), Molecular Biology (789 citations) and Neurology (124 citations). Pan Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianguo Wu, Wenbiao Wang, Mingfu Tian, Kailang Wu, Feng Xiao, Dingwen Hu, Zhen Luo, Keli Chen, Lang Rao and Pin Wan. Their work appears in journals such as Nature Communications, Frontiers in Cellular and Infection Microbiology, Frontiers in Medicine, Journal of Medical Virology and Viruses.

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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