Shaoyu Yan

2.3k citations
39 papers · 1.9k indexed · h-index 25

Impact in

  • Oncology top 5%
    • Colorectal Cancer Treatments and Studies
    • Cancer Treatment and Pharmacology
    • Cancer, Hypoxia, and Metabolism

Papers in

Shaoyu Yan

38 papers receiving 1.8k citations

Peers

Shaoyu Yan
Comparison fields: 5 of 114
  • Oncology 595
  • Cancer Research 326
  • Hepatology 166
  • Molecular Biology 910
  • Pulmonary and Respiratory Medicine 421
Replace Rossella Rota with:
Rossella Rota Italy
Melissa J. LaBonte United States
Takeshi Nishikawa Japan
Alison Joly United States
J. Kar Kruijt Netherlands
Suimin Qiu United States
Hideji Nakamura Japan
Henning Schulze‐Bergkamen Germany
Dongfeng Qu United States
Jun Lü China
Shaoyu Yan relative to Rossella Rota Italy Rossella Rota's profile →
Citations per field
00.5×2.5×
Rossella Rota · 1×
Citations per year

Countries citing papers authored by Shaoyu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shaoyu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202120
2 201355
3 201357
4 201143
5 2011106
6 20101
7 201037
8 2009102
9 200868
10 200652
11 200620
12 200615
13 200541
14 200536
15 200533
16 200526
17 200541
18 200424
19 200428
20 200441

About Shaoyu Yan

Shaoyu Yan is a scholar working on Immunology and Allergy, Cancer Research, Oncology, Molecular Biology and Emergency Medicine, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Lung Cancer Treatments and Mutations (6 papers), Cell Adhesion Molecules Research (4 papers), HIV-related health complications and treatments (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Oncology (595 citations), Cancer Research (326 citations), Hepatology (166 citations), Molecular Biology (910 citations) and Pulmonary and Respiratory Medicine (421 citations). Shaoyu Yan has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Changyi Chen, Qizhi Yao, Hong Chai, Hai T. Tran, John V. Heymach, Hui Yang, Gordon M. Riha, Min Li, Peter H. Lin and Hao Wang. Their work appears in journals such as Journal of Surgical Research, Cancer Research, Surgery, Journal of Clinical Oncology and Biochemical and Biophysical Research Communications.

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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