Yan Shang

3.9k citations
86 papers · 3.4k · h-index 34

Impact in

Papers in

Yan Shang

82 papers receiving 2.8k citations

Peers

Yan Shang
Comparison fields: 5 of 128
  • Geriatrics and Gerontology 519
  • Aging 219
  • Physiology 162
  • Hematology 291
  • Molecular Biology 1.8k
Replace Ellen L. Robb with:
Ellen L. Robb Canada
Nazzareno Capitanio Italy
Cláudia Piccoli Italy
Keir J. Menzies Canada
Pier G. Mastroberardino Netherlands
Lijian Shao China
Peiyong Zhai United States
Celia Quijano Uruguay
Matej Durik Netherlands
Francesco Oriente Italy
Yan Shang relative to Ellen L. Robb Canada Ellen L. Robb's profile →
Citations per field
00.5×2×4×6×8.3×
Ellen L. Robb · 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 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012202
2 2008162
3 2008155
4 2012138
5 2010137
6 2010109
7 2012107
8 2008103
9 2008102
10 2012102
11 2012101
12 201191
13 200887
14 201183
15 201082
16 200976
17 200875
18 200972
19 201070
20 201268

About Yan Shang

Yan Shang is a scholar working on Renewable Energy, Sustainability and the Environment, Molecular Biology, Aging, Hematology and Geriatrics and Gerontology, having authored 86 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (15 papers), FOXO transcription factor regulation (10 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Erythropoietin and Anemia Treatment (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers), PARP inhibition in cancer therapy (5 papers) and Connective Tissue Growth Factor Research (5 papers). The work is most often cited by research in Geriatrics and Gerontology (519 citations), Aging (219 citations), Physiology (162 citations), Hematology (291 citations) and Molecular Biology (1.8k citations). Yan Shang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhao Zhong Chong, Kenneth Maiese, Shaohui Wang, Jinling Hou, Faqi Li, Lijie Zhang, Jing Xu, Qian Li, Zezhong Li and Zhenlu Liu. 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 Progress in Neurobiology.

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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