Yuchen Feng

12.7k citations
56 papers · 3.0k indexed · 1 hit paper · h-index 22
Topics
Cancer-related molecular mechanisms research (9 papers)Asthma and respiratory diseases (9 papers)IL-33, ST2, and ILC Pathways (8 papers)

In The Last Decade

Yuchen Feng

53 papers receiving 3.0k citations

Hit Papers

The machinery of macroautophagy2013202620172021201350010001.5k

Peers

Yuchen Feng
Comparison fields: 5 of 121
  • Epidemiology 1.6k
  • Molecular Biology 1.5k
  • Cell Biology 475
  • Cancer Research 386
  • Physiology 309
Replace Shun Kageyama with:
Shun Kageyama Japan
Mario Mauthe Netherlands
Sabrina Di Bartolomeo Italy
Nikolai Engedal Norway
Anne Hamacher‐Brady United States
Bernadette Carroll United Kingdom
Kenji Takehana Japan
Sangita C. Sinha United States
Ashish Jain Norway
Herbert J. Zeh United States
Yuchen Feng relative to Shun Kageyama Japan Shun Kageyama's profile →
Citations per field
00.5×1.5×1.8×
Shun Kageyama · 1×
Citations per year

Countries citing papers authored by Yuchen Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yuchen Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchen Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchen Feng. A scholar is included among the top collaborators of Yuchen Feng 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 Yuchen Feng. Yuchen Feng 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 6
2 11
3 9
4 1
5 20
6 13
7 3
8 17
9 7
10 25
11
Kinesin Superfamily Member 18B (KIF18B) Promotes Cell Proliferation in Colon Adenocarcinoma
0
12 79
13 1
14 5
15 32
16 28
17 41
18 66
19 263
20
The machinery of macroautophagybreakdown →
1666

About Yuchen Feng

Yuchen Feng is a scholar working on Cancer Research, Immunology and Biological Psychiatry, having authored 56 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Asthma and respiratory diseases (9 papers) and IL-33, ST2, and ILC Pathways (8 papers). The work is most often cited by research in Epidemiology (1.6k citations), Physiology (184 citations) and Cell Biology (475 citations). Yuchen Feng has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Daniel J. Klionsky, Zhiyuan Yao, Ding He, Guohua Zhen, Dian Chen, Chenli Chang, Xu Dong Zhang, Wenliang Wu, Rick F. Thorne and Hong Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

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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