Kun Yuan

546 citations
17 papers · 446 indexed · h-index 10
Topics
Hedgehog Signaling Pathway Studies (5 papers)Circular RNAs in diseases (5 papers)Cancer-related molecular mechanisms research (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Kun Yuan

16 papers receiving 438 citations

Peers

Kun Yuan
Comparison fields: 5 of 64
  • Molecular Biology 372
  • Cancer Research 123
  • Genetics 120
  • Oncology 91
  • Cell Biology 47
Replace Hongchen Cai with:
Hongchen Cai United States
Ingegerd Elvers Sweden
Scott Chartrand United States
Jan-Willem Theunissen United States
Lloyd Pereira Australia
Sarah Bailey United States
Karen A. Boehme Germany
Gunda Schwaninger Austria
Bryan Zimdahl United States
Erika López‐Arribillaga Spain
Kun Yuan relative to Hongchen Cai United States Hongchen Cai's profile →
Citations per field
00.5×1.6×
Hongchen Cai · 1×
Citations per year

Countries citing papers authored by Kun Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yuan

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 3
3 4
4 27
5 2
6 45
7 21
8 12
9 3
10 2
11 4
12 58
13
Deletion of Forkhead Box M1 transcription factor reduces malignancy in laryngeal squamous carcinoma cells.
12
14 135
15 39
16 35
17 44

About Kun Yuan

Kun Yuan is a scholar working on Cancer Research, Developmental Neuroscience and Sensory Systems, having authored 17 papers that have together received 446 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (5 papers), Circular RNAs in diseases (5 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (123 citations), Molecular Biology (372 citations) and Genetics (120 citations). Kun Yuan has collaborated with scholars based in China and United States. Frequent co-authors include Andra R. Frost, Adam D. Steg, Natalya Frolova, Rosa Serra, Dezhi Wang, Leah M. Cook, Gong Cheng, Yi Xie, Jay J. Listinsky and Catherine M. Listinsky. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Breast Cancer Research and Treatment and International Journal of Oncology.

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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