Shuo Shen

3.6k citations
82 papers · 2.0k indexed · h-index 25
Topics
Viral gastroenteritis research and epidemiology (37 papers)Animal Virus Infections Studies (30 papers)SARS-CoV-2 and COVID-19 Research (29 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchAnalytical Biochemistry

In The Last Decade

Shuo Shen

79 papers receiving 1.9k citations

Peers

Shuo Shen
Comparison fields: 5 of 99
  • Infectious Diseases 1.5k
  • Animal Science and Zoology 822
  • Molecular Biology 391
  • Genetics 282
  • Epidemiology 230
Replace Ruben J. G. Hulswit with:
Ruben J. G. Hulswit Netherlands
Guangliang Liu China
Mia Madel Alfajaro South Korea
Ivy Widjaja Netherlands
Jung-Eun Park South Korea
Israr-ul H. Ansari United States
Tim J. Dalebout Netherlands
Joana Rocha‐Pereira Belgium
Kjerstin Lanke Netherlands
Qian Du China
Shuo Shen relative to Ruben J. G. Hulswit Netherlands Ruben J. G. Hulswit's profile →
Citations per field
00.5×3.7×
Ruben J. G. Hulswit · 1×
Citations per year

Countries citing papers authored by Shuo Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Shen. A scholar is included among the top collaborators of Shuo Shen 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 Shuo Shen. Shuo Shen 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
#WorkIndexed citations
1 1
2 0
3 2
4 11
5 2
6 1
7 4
8 5
9 3
10 4
11 1
12 16
13 13
14 28
15 25
16 194
17 15
18 63
19 53
20 19

About Shuo Shen

Shuo Shen is a scholar working on Animal Science and Zoology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (37 papers), Animal Virus Infections Studies (30 papers) and SARS-CoV-2 and COVID-19 Research (29 papers). The work is most often cited by research in Animal Science and Zoology (822 citations), Infectious Diseases (1.5k citations) and Genetics (282 citations). Shuo Shen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yee‐Joo Tan, Seng Gee Lim, Wanjin Hong, Ding Xiang Liu, Burtram C. Fielding, Timothy H. P. Tan, Chih-Fong Chou, Eng Eong Ooi, Yuqi Huo and Jimmy Kwang. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Analytical Biochemistry.

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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