Pin Yü

7.6k citations
38 papers · 2.2k indexed · 2 hit papers · h-index 18

Impact in

Papers in

Pin Yü

34 papers receiving 2.1k citations

Hit Papers

From SARS to MERS, Thrusting Coronaviruses into the Spotlight 2019 · 835 citations
8352015202620182022250500750

Peers

Pin Yü
Comparison fields: 5 of 120
  • Infectious Diseases 1.4k
  • Modeling and Simulation 115
  • Neurology 354
  • Animal Science and Zoology 176
  • Immunology 191
Replace Dan Mi with:
Dan Mi China
Stefanie Gierer Germany
Adeline Heurich Germany
Sebastian Schulz Germany
Martin Sebastian Winkler Germany
Wenjie Zhao China
Benjamin E. Nilsson-Payant United States
Melissa A. Hickey United States
Rasmus Møller United States
Yaohua Fan China
Pin Yü relative to Dan Mi China Dan Mi's profile →
Citations per field
00.5×20×40×68×
Dan Mi · 1×
Citations per year

Countries citing papers authored by Pin Yü

Since Specialization
Citations

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

Fields of papers citing papers by Pin Yü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
From SARS to MERS, Thrusting Coronaviruses into the Spotlight
Hit paper breakdown →
2019835
2
Treatment With Lopinavir/Ritonavir or Interferon-β1b Improves Outcome of MERS-CoV Infection in a Nonhuman Primate Model of Common Marmoset
Hit paper breakdown →
2015482
3 2021106
4 2013101
5 199493
6 202081
7 202152
8 201445
9 202143
10 201540
11 201331
12 202224
13 201723
14 201723
15 202020
16 201819
17 202119
18 201418
19 201417
20 201717

About Pin Yü

Pin Yü is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Immunology and Cancer Research, having authored 38 papers that have together received 2.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Influenza Virus Research Studies (8 papers), COVID-19 Clinical Research Studies (8 papers), Viral Infections and Immunology Research (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Respiratory viral infections research (6 papers), Animal Virus Infections Studies (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Modeling and Simulation (115 citations), Neurology (354 citations), Animal Science and Zoology (176 citations) and Immunology (191 citations). Pin Yü has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Chuan Qin, Linlin Bao, Yanfeng Xu, Hua Zhu, Yajin Qu, Yunlin Han, Zhiqi Song, Wenjie Zhao, Ling Zhang and Wei Deng. Their work appears in journals such as Virology Journal, Journal of General Virology, Viruses, The Journal of Infectious Diseases and Brain Research.

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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