Shaohan Wu

426 citations
22 papers · 352 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 6
    • Pharmacogenetics and Drug Metabolism 3

Shaohan Wu

21 papers receiving 350 citations

Peers

Shaohan Wu
Comparison fields: 5 of 46
  • Cancer Research 84
  • Hepatology 30
  • Pharmacology 29
  • Oncology 67
  • Transplantation 10
Replace Alexandru Simion with:
Alexandru Simion Belgium
Carolina Ortiz Spain
Caixia Xia China
Yunjie Lu China
Chengjun Sun China
Shunfang Liu China
Mei-Fang Zhang China
Julia Bolik Germany
Zhangwei Tong China
Shaohan Wu relative to Alexandru Simion Belgium Alexandru Simion's profile →
Citations per field
00.5×2×2.7×
Alexandru Simion · 1×
Citations per year

Countries citing papers authored by Shaohan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shaohan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201770
2 201652
3 201851
4 201739
5 201416
6 201515
7 201615
8 201715
9 202110
10 20179
11 20189
12 20178
13 20238
14 20238
15 20167
16 20176
17 20185
18 20174
19 20222
20 20242

About Shaohan Wu

Shaohan Wu is a scholar working on Hepatology, Pharmacology, Oncology, Cancer Research and Surgery, having authored 22 papers that have together received 352 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Pharmacogenetics and Drug Metabolism (3 papers), Cancer Cells and Metastasis (2 papers), Mechanisms of cancer metastasis (2 papers), Skin and Cellular Biology Research (1 paper), Hepatitis B Virus Studies (1 paper), Parathyroid Disorders and Treatments (1 paper) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Cancer Research (84 citations), Hepatology (30 citations), Pharmacology (29 citations), Oncology (67 citations) and Transplantation (10 citations). Shaohan Wu has collaborated with scholars based in China and Sweden. Frequent co-authors include Jianhua Liao, Junwei Fan, Yanmeng Li, Fan Bai, Zhihai Peng, Xisheng Liu, Zhihai Peng, Xing Sun, Changcan Li and Zhao‐Wen Wang. Their work appears in journals such as Langenbeck s Archives of Surgery, Journal of Infection and Public Health, Cell Death and Disease, Biochemical and Biophysical Research Communications and Cancer Gene Therapy.

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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