Shanshan Wu

2.7k total citations · 1 hit paper
63 papers, 2.1k citations indexed

About

Shanshan Wu is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Shanshan Wu has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 17 papers in Epidemiology and 17 papers in Cancer Research. Recurrent topics in Shanshan Wu's work include MicroRNA in disease regulation (12 papers), Hepatitis B Virus Studies (8 papers) and Circular RNAs in diseases (8 papers). Shanshan Wu is often cited by papers focused on MicroRNA in disease regulation (12 papers), Hepatitis B Virus Studies (8 papers) and Circular RNAs in diseases (8 papers). Shanshan Wu collaborates with scholars based in China, United States and Australia. Shanshan Wu's co-authors include Yanning Liu, Guohua Lou, Zhi Chen, Fan Yang, Jing Wang, Jin Feng, Hua Wang, Songbai Liu, Jifu Liu and Jueheng Wu and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP 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... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

Shanshan Wu
Comparison fields: 5 of 108
  • Molecular Biology 1.4k
  • Cancer Research 961
  • Oncology 233
  • Epidemiology 209
  • Immunology 206
Replace Chunping Jiang with:
Chunping Jiang China
Qinong Ye China
Keitaro Hagiwara Japan
Anquan Shang China
Meng Xia China
Daria Capece Italy
Chaoliu Dai China
Chunping Jiang China View profile →
Citations per field, relative to Shanshan Wu
Shanshan Wu · 1×
Citations per year, relative to Shanshan Wu
Shanshan Wu · 1×

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
# Work Indexed 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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026