Yan Yang

3.1k citations
95 papers · 2.6k · h-index 31

Impact in

Papers in

    • Liver physiology and pathology 20
    • TGF-β signaling in diseases 18
    • Inflammasome and immune disorders 10
    • Genomics, phytochemicals, and oxidative stress 4

Yan Yang

94 papers receiving 2.6k citations

Peers

Yan Yang
Comparison fields: 5 of 111
  • Hepatology 231
  • Pharmacology 232
  • Complementary and alternative medicine 199
  • Cancer Research 275
  • Molecular Biology 1.1k
Replace Mohamed Mahmoud Hafez with:
Mohamed Mahmoud Hafez Egypt
Shashi K. Ramaiah United States
Jinhao Zeng China
Ian M. Copple United Kingdom
Bastian Hoesel Austria
Zhaoguo Liu China
Won‐Ki Baek South Korea
Ki‐Baik Hahm South Korea
Xianglu Rong China
Sameh Saber Egypt
Yan Yang relative to Mohamed Mahmoud Hafez Egypt Mohamed Mahmoud Hafez's profile →
Citations per field
00.5×1.5×2.0×
Mohamed Mahmoud Hafez · 1×
Citations per year

Countries citing papers authored by Yan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016149
2 2009112
3 2017111
4 2018110
5 201285
6 201585
7 202282
8 201781
9 201471
10 202063
11 201959
12 201959
13 201557
14 200956
15 201854
16 202153
17 202252
18 200850
19 201847
20 201546

About Yan Yang

Yan Yang is a scholar working on Hepatology, Molecular Biology, Pharmacology, Cancer Research and Immunology, having authored 95 papers that have together received 2.6k indexed citations. Recurring topics across this work include Liver physiology and pathology (20 papers), TGF-β signaling in diseases (18 papers), Inflammasome and immune disorders (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Hepatology (231 citations), Pharmacology (232 citations), Complementary and alternative medicine (199 citations), Cancer Research (275 citations) and Molecular Biology (1.1k citations). Yan Yang has collaborated with scholars based in China, Saint Kitts and Nevis and Australia. Frequent co-authors include Yufeng Xia, Yue Dai, Yannong Dou, Zhifeng Wei, Chao Wu, Shufang He, Xin Liu, Xin Wu, Sen Yang and Jun Li. Their work appears in journals such as Journal of Ethnopharmacology, International Immunopharmacology, Biochemical Pharmacology, Frontiers in Pharmacology and European Journal of 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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