Shanshan Wen

495 citations
18 papers · 334 indexed · h-index 9
Topics
Viral gastroenteritis research and epidemiology (3 papers)Virus-based gene therapy research (3 papers)Animal Virus Infections Studies (3 papers)

In The Last Decade

Shanshan Wen

16 papers receiving 331 citations

Peers

Shanshan Wen
Comparison fields: 5 of 87
  • Molecular Biology 148
  • Food Science 72
  • Microbiology 48
  • Infectious Diseases 42
  • Molecular Medicine 32
Replace Yunjia Shi with:
Yunjia Shi China
Nima Bahador Iran
Shiqi Lin China
Thiago Azevedo Feitosa Ferro Brazil
Martin Sojka Slovakia
María Guadalupe Ávila-Novoa Mexico
Azza S. El-Demerdash Egypt
Tao Lei China
Rashmi Hogarehalli Mallappa India
Sanja Mihajlović Serbia
Shanshan Wen relative to Yunjia Shi China Yunjia Shi's profile →
Citations per field
00.5×2.7×
Yunjia Shi · 1×
Citations per year

Countries citing papers authored by Shanshan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Wen

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 1
6 8
7 3
8 1
9 39
10 13
11 107
12 9
13 13
14 22
15 74
16 24
17
Gracilariopsis longissima as biofilter for an Integrated Multi-Trophic aquaculture (IMTA) system with Sciaenops ocellatus : Bioremediation efficiency and production in a recirculating system
11
18 7

About Shanshan Wen

Shanshan Wen is a scholar working on Microbiology, Animal Science and Zoology and Periodontics, having authored 18 papers that have together received 334 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (3 papers), Virus-based gene therapy research (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Microbiology (48 citations), Molecular Medicine (32 citations) and Periodontics (25 citations). Shanshan Wen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Junwei Ge, Xingyang Cui, Yunjia Shi, Shanshan Gu, Xin Yan, Hongyan Chen, Hongyan Chen, Xiangzhi Wei, Yaobin Tian and Hanghang Liu. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences and Journal of Colloid and Interface Science.

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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