Feixia Chu

3.9k citations
45 papers · 2.6k · h-index 27

Impact in

Papers in

    • Genomics and Chromatin Dynamics 8
    • Receptor Mechanisms and Signaling 6
    • Protein Structure and Dynamics 6
    • Phosphodiesterase function and regulation 4
    • Epigenetics and DNA Methylation 4
    • Heat shock proteins research 4
    • Chemical Synthesis and Analysis 4
    • Mass Spectrometry Techniques and Applications 4

Feixia Chu

45 papers receiving 2.6k citations

Peers

Feixia Chu
Comparison fields: 5 of 121
  • Process Chemistry and Technology 111
  • Molecular Biology 1.6k
  • Immunology 407
  • Cell Biology 310
  • Spectroscopy 239
Replace Toshio Hakoshima with:
Toshio Hakoshima Japan
Hisao Yokota United States
Alexey V. Feofanov Russia
H. Seliger Germany
Yuki Naito Japan
Zhou Gong China
Timo Glatter Germany
Emily M. Anderson United States
Yue Feng China
Feixia Chu relative to Toshio Hakoshima Japan Toshio Hakoshima's profile →
Citations per field
00.5×2.7×
Toshio Hakoshima · 1×
Citations per year

Countries citing papers authored by Feixia Chu

Since Specialization
Citations

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

Fields of papers citing papers by Feixia Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feixia 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 Feixia Chu Line = papers co-authored together Feixia Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012437
2 2007403
3 2017163
4 2019143
5 2007112
6 200879
7 200979
8 201276
9 200876
10 199975
11 200466
12 200562
13 200961
14 200258
15 199950
16 201347
17 200647
18 199947
19 201439
20 201638

About Feixia Chu

Feixia Chu is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Plant Science and Epidemiology, having authored 45 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Receptor Mechanisms and Signaling (6 papers), Protein Structure and Dynamics (6 papers), Phosphodiesterase function and regulation (4 papers), Epigenetics and DNA Methylation (4 papers), Heat shock proteins research (4 papers), Chemical Synthesis and Analysis (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Process Chemistry and Technology (111 citations), Molecular Biology (1.6k citations), Immunology (407 citations), Cell Biology (310 citations) and Spectroscopy (239 citations). Feixia Chu has collaborated with scholars based in United States, Egypt and Israel. Frequent co-authors include Alma L. Burlingame, Barbara Panning, Xiaohui Zeng, Peter Walter, Geeta J. Narlikar, Matthew D. Simon, Lisa R. Racki, Cecile C. de la Cruz, Kevan M. Shokat and Alys Peisley. Their work appears in journals such as Journal of Molecular Biology, Molecular & Cellular Proteomics, Cell, Tetrahedron Letters and eLife.

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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