Shaogui Wan

2.0k citations
62 papers · 1.5k indexed · h-index 23
    • Cancer Genomics and Diagnostics 7
    • Cancer, Hypoxia, and Metabolism 6
    • MicroRNA in disease regulation 5
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis 8
  • Immunology top 10%
    • RNA modifications and cancer 6
  • Oncology top 10%
    • Hepatitis B Virus Studies 7
    • Liver Disease Diagnosis and Treatment 6
    • Telomeres, Telomerase, and Senescence 6

Shaogui Wan

59 papers receiving 1.5k citations

Peers

Shaogui Wan
Comparison fields: 5 of 106
  • Cancer Research 480
  • Hepatology 201
  • Immunology 254
  • Molecular Biology 709
  • Oncology 263
Replace Adrian Keogh with:
Adrian Keogh Switzerland
Cathal Harmon Ireland
Catriona McKenzie Australia
Ming Shan China
Jian Lei China
Keishi Fujiwara Japan
Rui Peng China
Liyun Zou China
G P Jahreis United States
Shaogui Wan relative to Adrian Keogh Switzerland Adrian Keogh's profile →
Citations per field
00.5×1.5×2.2×
Adrian Keogh · 1×
Citations per year

Countries citing papers authored by Shaogui Wan

Since Specialization
Citations

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

Fields of papers citing papers by Shaogui Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202311
4 20225
5 202296
6 202121
7 20198
8 201885
9 20185
10 201722
11 201672
12 20154
13 201511
14 201436
15 20145
16 20147
17 201272
18 201131
19 20110
20 200628

About Shaogui Wan

Shaogui Wan is a scholar working on Hepatology, Cancer Research, Oncology, Clinical Biochemistry and Epidemiology, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Hepatitis B Virus Studies (7 papers), Cancer Genomics and Diagnostics (7 papers), Telomeres, Telomerase, and Senescence (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Liver Disease Diagnosis and Treatment (6 papers), RNA modifications and cancer (6 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cancer Research (480 citations), Hepatology (201 citations), Immunology (254 citations), Molecular Biology (709 citations) and Oncology (263 citations). Shaogui Wan has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Jinliang Xing, Hushan Yang, Ronald E. Myers, Dengke Bao, Richard S. Hann, Qi Yang, Jing Zhao, Hie‐Won Hann, Bingshan Li and Xiaoying Fu. Their work appears in journals such as PLoS ONE, European Journal of Cancer, Toxicon, Cancer Science and Cancer Chemotherapy and Pharmacology.

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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