Nam Chu

642 citations
18 papers · 442 indexed · h-index 13

Impact in

    • PI3K/AKT/mTOR signaling in cancer
    • Chemical Synthesis and Analysis
    • Protein Kinase Regulation and GTPase Signaling
    • Biochemical and Structural Characterization
    • Ubiquitin and proteasome pathways
    • Cellular transport and secretion

Papers in

Nam Chu

17 papers receiving 435 citations

Peers

Nam Chu
Comparison fields: 5 of 71
  • Molecular Biology 340
  • Cell Biology 66
  • Genetics 23
  • Endocrine and Autonomic Systems 14
  • Neurology 17
Replace Yumiko Moritani with:
Yumiko Moritani Japan
Nicole Hajicek United States
E. Tsukuda Japan
Xianglei Yin United States
C.K. Allerston United Kingdom
Jacint Boix Spain
Masakatsu Nanamori United States
Weiwei He China
Stefania Sarno Italy
Léonid Volkov Canada
Nam Chu relative to Yumiko Moritani Japan Yumiko Moritani's profile →
Citations per field
00.5×1.5×2.2×
Yumiko Moritani · 1×
Citations per year

Countries citing papers authored by Nam Chu

Since Specialization
Citations

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

Fields of papers citing papers by Nam Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2018103
2 202054
3 201645
4 200845
5 201937
6 201422
7 201318
8 202018
9 202217
10 201017
11 201516
12 200912
13 202112
14 201312
15 20199
16 20134
17 20161
18 20220

About Nam Chu

Nam Chu is a scholar working on Structural Biology, Virology, Molecular Biology, Microbiology and Endocrine and Autonomic Systems, having authored 18 papers that have together received 442 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Peptidase Inhibition and Analysis (4 papers), Chemical Synthesis and Analysis (3 papers), Biochemical and Molecular Research (3 papers), Prion Diseases and Protein Misfolding (3 papers), Pancreatic function and diabetes (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Molecular Biology (340 citations), Cell Biology (66 citations), Genetics (23 citations), Endocrine and Autonomic Systems (14 citations) and Neurology (17 citations). Nam Chu has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Philip A. Cole, Christian F. W. Becker, Zan Chen, Daniel R. Dempsey, Haribabu Arthanari, Thibault Viennet, Sandra B. Gabelli, Jarrod A. Marto, Scott B. Ficarro and L. Mario Amzel. Their work appears in journals such as Journal of Biological Chemistry, eLife, ACS Chemical Biology, Nature Methods and FEBS Letters.

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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