Yan Shang

3.8k citations
85 papers · 3.2k · h-index 34

Impact in

Papers in

Yan Shang

83 papers receiving 2.9k citations

Peers

Yan Shang
Comparison fields: 5 of 128
  • Geriatrics and Gerontology 487
  • Aging 197
  • Physiology 144
  • Hematology 288
  • Molecular Biology 1.7k
Replace Jihye Paik with:
Jihye Paik United States
Keir J. Menzies Canada
Cláudia Piccoli Italy
Hengyi Xiao China
Peiyong Zhai United States
Alejandro Martín‐Montalvo Spain
Pier G. Mastroberardino Netherlands
Tino Kurz Sweden
Linxi Chen China
Lijian Shao China
Yan Shang relative to Jihye Paik United States Jihye Paik's profile →
Citations per field
00.5×4.1×
Jihye Paik · 1×
Citations per year

Countries citing papers authored by Yan Shang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012186
2 2008151
3 2008144
4 2010133
5 2012127
6 2010105
7 2012103
8 200899
9 200899
10 201298
11 201292
12 201184
13 200882
14 201180
15 201077
16 200874
17 200970
18 201067
19 200967
20 201263

About Yan Shang

Yan Shang is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Materials Chemistry, Aging and Oncology, having authored 85 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (16 papers), FOXO transcription factor regulation (10 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Erythropoietin and Anemia Treatment (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Copper-based nanomaterials and applications (5 papers) and PARP inhibition in cancer therapy (5 papers). The work is most often cited by research in Geriatrics and Gerontology (487 citations), Aging (197 citations), Physiology (144 citations), Hematology (288 citations) and Molecular Biology (1.7k citations). Yan Shang has collaborated with scholars based in China, United States and France. Frequent co-authors include Kenneth Maiese, Zhao Zhong Chong, Shaohui Wang, Jinling Hou, Faqi Li, Lijie Zhang, Jing Xu, Qian Li, Zezhong Li and Zhiliang Jin. Their work appears in journals such as Current Neurovascular Research, Journal of Alloys and Compounds, International Journal of Hydrogen Energy, Oxidative Medicine and Cellular Longevity and Trends in Molecular Medicine.

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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