Shanshan Wu

2.7k citations
63 papers · 2.1k indexed · 1 hit paper · h-index 23
Topics
MicroRNA in disease regulation (12 papers)Hepatitis B Virus Studies (8 papers)Circular RNAs in diseases (8 papers)
Journals
Journal of Clinical InvestigationNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Shanshan Wu

58 papers receiving 2.1k citations

Hit Papers

Exosomes derived from miR-122-modified adipose tissue-der...20152026201820222015100200300400500

Peers

Shanshan Wu
Comparison fields: 5 of 108
  • Molecular Biology 1.4k
  • Cancer Research 961
  • Oncology 233
  • Epidemiology 209
  • Immunology 206
Replace Keitaro Hagiwara with:
Keitaro Hagiwara Japan
Zhenyi Xue China
Daria Capece Italy
Meng Xia China
Chunping Jiang China
Qinong Ye China
Jun Lü China
Daniela Verzella Italy
Paul Thelen Germany
Bo Tang China
Shanshan Wu relative to Keitaro Hagiwara Japan Keitaro Hagiwara's profile →
Citations per field
00.5×1.5×2.5×
Keitaro Hagiwara · 1×
Citations per year

Countries citing papers authored by Shanshan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Wu. A scholar is included among the top collaborators of Shanshan Wu 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 Wu. Shanshan Wu 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 0
2 0
3 3
4 0
5 13
6 9
7 9
8
Artificial Neural Network Model for Liver Cirrhosis Diagnosis in Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma
2
9 24
10 8
11 9
12 20
13 85
14 90
15 2
16 27
17 22
18 44
19 56
20 9

About Shanshan Wu

Shanshan Wu is a scholar working on Cancer Research, Hepatology and Molecular Biology, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Hepatitis B Virus Studies (8 papers) and Circular RNAs in diseases (8 papers). The work is most often cited by research in Cancer Research (961 citations), Molecular Biology (1.4k citations) and Hepatology (121 citations). Shanshan Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanning Liu, Guohua Lou, Zhi Chen, Fan Yang, Jing Wang, Jin Feng, Hua Wang, Songbai Liu, Jifu Liu and Jueheng Wu. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

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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