Shengli Yang

7.5k citations
167 papers · 4.0k indexed · h-index 33

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 18
    • Pancreatic and Hepatic Oncology Research 11

Shengli Yang

159 papers receiving 4.0k citations

Peers

Shengli Yang
Comparison fields: 5 of 133
  • Cancer Research 845
  • Hepatology 404
  • Oncology 1.0k
  • Molecular Biology 2.0k
  • Immunology 480
Replace Tian Lan with:
Tian Lan China
Seyed Mahdi Hassanian Iran
Yu‐Jia Chang Taiwan
Yexiong Tan China
Coby Meijer Netherlands
Satoshi Kobayashi Japan
Cody J. Peer United States
Roman A. Blaheta Germany
Yahiya Y. Syed New Zealand
Yanfang Liu China
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Citations per field
00.5×1.5×1.8×
Tian Lan · 1×
Citations per year

Countries citing papers authored by Shengli Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shengli Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20254
4 20241
5 20240
6 202271
7 202274
8 20217
9 202119
10 20191
11 201925
12 201822
13 201889
14 20162
15 2014259
16 201320
17 201357
18 201317
19
Association study of six activity SNPS in adrenal steroid hormone metabolism and IBM related genes with precocious puberty in Chinese girls.
20075
20 200612

About Shengli Yang

Shengli Yang is a scholar working on Hepatology, Oncology, Cancer Research, Internal Medicine and Molecular Biology, having authored 167 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (18 papers), Pancreatic and Hepatic Oncology Research (11 papers), Cancer, Hypoxia, and Metabolism (10 papers), Nanoplatforms for cancer theranostics (8 papers), Hepatitis B Virus Studies (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Coronary Interventions and Diagnostics (7 papers) and Cancer Mechanisms and Therapy (7 papers). The work is most often cited by research in Cancer Research (845 citations), Hepatology (404 citations), Oncology (1.0k citations), Molecular Biology (2.0k citations) and Immunology (480 citations). Shengli Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianren Gu, George G. Chen, Paul B.S. Lai, Liping Liu, Dongzhi Wei, Bizhi Shi, Zonghai Li, Hua Jiang, Jianwei Ren and Hongyang Wang. Their work appears in journals such as Biotechnology Letters, Disease Markers, Translational Oncology, Cancer Research and Acta Biochimica et Biophysica Sinica.

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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