Fei Chu

1.3k citations
34 papers · 1.1k · h-index 16

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 5
    • Cell death mechanisms and regulation 5
    • Protein Degradation and Inhibitors 2
    • Neuroblastoma Research and Treatments 8

Fei Chu

33 papers receiving 1.1k citations

Peers

Fei Chu
Comparison fields: 5 of 85
  • Geriatrics and Gerontology 101
  • Oncology 381
  • Cancer Research 181
  • Molecular Biology 574
  • Cell Biology 104
Replace James S. Hardwick with:
James S. Hardwick United States
Kwang Woon Kim United States
Md Kamrul Hasan United States
Yvonne Vercoulen Netherlands
Valentina Grossi Italy
Hee‐Jun Wee South Korea
Toshiyuki Tsunoda Japan
A. Pieter J. van den Heuvel United States
Pat Gulhati United States
Nina Fenouille France
Fei Chu relative to James S. Hardwick United States James S. Hardwick's profile →
Citations per field
00.5×3.7×
James S. Hardwick · 1×
Citations per year

Countries citing papers authored by Fei Chu

Since Specialization
Citations

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

Fields of papers citing papers by Fei Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fei Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei Chu Line = papers co-authored together Fei Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005198
2 2005142
3 201775
4 200268
5 200559
6 200850
7 200648
8 200847
9 200843
10 202241
11 201641
12 200439
13 201333
14 200630
15 201429
16 202219
17 201415
18 201213
19 201212
20 199512

About Fei Chu

Fei Chu is a scholar working on Molecular Biology, Neurology, Oncology, Epidemiology and Cell Biology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (8 papers), Histone Deacetylase Inhibitors Research (5 papers), Cell death mechanisms and regulation (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Autophagy in Disease and Therapy (3 papers), Protein Degradation and Inhibitors (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Geriatrics and Gerontology (101 citations), Oncology (381 citations), Cancer Research (181 citations), Molecular Biology (574 citations) and Cell Biology (104 citations). Fei Chu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Abdelhadi Rebbaa, Bernard L. Mirkin, Xin Zheng, Radhika Gudi, John Barkinge, Pauline M. Chou, Prasad Kanteti, Ravi Salgia, Shaker A. Mousa and Sandra Clark. Their work appears in journals such as Journal of Pediatric Surgery, Cancer Research, Journal of the American College of Surgeons, Oncogene and Angiogenesis.

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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