Yuan Shi

4.1k citations
50 papers · 1.5k indexed · 1 hit paper · h-index 16
Topics
MicroRNA in disease regulation (6 papers)Cancer-related molecular mechanisms research (5 papers)Cancer, Hypoxia, and Metabolism (5 papers)
Journals
Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Yuan Shi

49 papers receiving 1.5k citations

Hit Papers

Homocysteine-induced endoplasmic reticulum stress causes ...20012026200920172001100200300400500

Peers

Yuan Shi
Comparison fields: 5 of 104
  • Molecular Biology 780
  • Cancer Research 448
  • Rheumatology 290
  • Cell Biology 272
  • Epidemiology 249
Replace María A. Zuriaga with:
María A. Zuriaga United States
Graeme M. Birdsey United Kingdom
Yufeng Yao China
Tally Naveh‐Many Israel
Victoria Hoffmann United States
Martin Voß Germany
Herbert Schramek Austria
B. Nave United Kingdom
Shaolin Shi China
Patrick Spielmann Switzerland
Yuan Shi relative to María A. Zuriaga United States María A. Zuriaga's profile →
Citations per field
00.5×9.4×
María A. Zuriaga · 1×
Citations per year

Countries citing papers authored by Yuan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Shi. A scholar is included among the top collaborators of Yuan Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuan Shi. Yuan Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 11
3 11
4 3
5 3
6 1
7 5
8 7
9 5
10 80
11 36
12 3
13 13
14 4
15 10
16 10
17 15
18 260
19 18
20 107

About Yuan Shi

Yuan Shi is a scholar working on Cancer Research, Aging and Biochemistry, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Cancer Research (448 citations), Rheumatology (290 citations) and Cell Biology (272 citations). Yuan Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Geoff H. Werstuck, Gazi S. Hossain, Nobuyo Maeda, Sanjana Dayal, Sudesh K. Sood, Skaidrite K. Krisans, Steven R. Lentz, Ji Zhou, M.R. Malinow and Richard C. Austin. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

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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