Yue Xiong

49.2k citations
254 papers · 34.2k indexed · 12 hit papers · h-index 91
Topics
Ubiquitin and proteasome pathways (74 papers)Cancer-related Molecular Pathways (69 papers)Epigenetics and DNA Methylation (45 papers)

In The Last Decade

Yue Xiong

252 papers receiving 33.7k citations

Hit Papers

p21 is a universal inhibitor of cyclin kinases19902026200220141993199819901992200950010001.5k2.0k2.5k

Peers

Yue Xiong
Comparison fields: 5 of 168
  • Molecular Biology 24.3k
  • Oncology 11.3k
  • Cancer Research 5.4k
  • Cell Biology 5.0k
  • Epidemiology 3.3k
Replace Richard G. Pestell with:
Richard G. Pestell United States
Eileen White United States
Thomas Ried United States
William S. Lane United States
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Nikola P. Pavletich United States
Johannes L. Bos Netherlands
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Yue Xiong relative to Richard G. Pestell United States Richard G. Pestell's profile →
Citations per field
00.5×1.5×
Richard G. Pestell · 1×
Citations per year

Countries citing papers authored by Yue Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Yue Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Xiong. A scholar is included among the top collaborators of Yue Xiong 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 Yue Xiong. Yue Xiong 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 12
2 3
3 9
4 22
5 3
6 16
7 181
8 69
9 100
10 128
11 47
12 27
13
Glioma-Derived Mutations in IDH1 Dominantly Inhibit IDH1 Catalytic Activity and Induce HIF-1αbreakdown →
896
14 211
15 128
16 34
17 53
18 47
19
T-loop deletion of CDC2 from breast cancer tissues eliminates binding to cyclin B1 and cyclin-dependent kinase inhibitor p21.
9
20 167

About Yue Xiong

Yue Xiong is a scholar working on Cancer Research, Geriatrics and Gerontology and Oncology, having authored 254 papers that have together received 34.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (74 papers), Cancer-related Molecular Pathways (69 papers) and Epigenetics and DNA Methylation (45 papers). The work is most often cited by research in Oncology (11.3k citations), Geriatrics and Gerontology (1.4k citations) and Cancer Research (5.4k citations). Yue Xiong has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Kun‐Liang Guan, David Beach, Thomas H. Eickbush, Hui Zhang, Qun‐Ying Lei, Manabu Furukawa, Ryûji Kobayashi, Gregory J. Hannon, David Casso and Shimin Zhao. Their work appears in journals such as Nature, Science and Cell.

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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