Shi-Yong Sun

1.8k citations
16 papers · 1.5k indexed · 1 hit paper · h-index 14
Topics
Cell death mechanisms and regulation (6 papers)Cancer-related Molecular Pathways (5 papers)PI3K/AKT/mTOR signaling in cancer (5 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Shi-Yong Sun

16 papers receiving 1.4k citations

Hit Papers

Activation of Akt and eIF4E Survival Pathways by Rapamyci...20052026201220192005200400600

Peers

Shi-Yong Sun
Comparison fields: 5 of 82
  • Molecular Biology 1.2k
  • Oncology 382
  • Immunology 202
  • Pulmonary and Respiratory Medicine 197
  • Cancer Research 189
Replace Cor Lieftink with:
Cor Lieftink Netherlands
Kenna Anderes United States
Ashish Juvekar United States
Marianna Desideri Italy
Takahito Nakahara Japan
Nathan T. Ihle United States
Sean Caenepeel United States
Francesco Trapasso Italy
Alastair J. King United States
Johannes Bange Germany
Shi-Yong Sun relative to Cor Lieftink Netherlands Cor Lieftink's profile →
Citations per field
00.5×1.5×2.0×
Cor Lieftink · 1×
Citations per year

Countries citing papers authored by Shi-Yong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Shi-Yong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi-Yong Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Shi-Yong Sun. A scholar is included among the top collaborators of Shi-Yong Sun 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 Shi-Yong Sun. Shi-Yong Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 18
2 73
3 14
4 7
5 21
6 51
7 63
8 19
9 44
10 61
11 44
12 8
13 121
14
Activation of Akt and eIF4E Survival Pathways by Rapamycin-Mediated Mammalian Target of Rapamycin Inhibitionbreakdown →
682
15 120
16 107

About Shi-Yong Sun

Shi-Yong Sun is a scholar working on Oncology, Molecular Biology and Immunology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), Cancer-related Molecular Pathways (5 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Oncology (382 citations) and Cancer Research (189 citations). Shi-Yong Sun has collaborated with scholars based in United States, China and France. Frequent co-authors include Ping Yue, Fadlo R. Khuri, Xuerong Wang, Haian Fu, Zhongmei Zhou, Laura M. Rosenberg, Gen Sheng Wu, Keqiang Ye, Ying-Hong Wang and Jun-Ying Zhou. Their work appears in journals such as Blood, PLoS ONE and Molecular and Cellular Biology.

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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