Nam Chu
Impact in
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- PI3K/AKT/mTOR signaling in cancer
- Chemical Synthesis and Analysis
- Protein Kinase Regulation and GTPase Signaling
- Biochemical and Structural Characterization
- Ubiquitin and proteasome pathways
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- Cellular transport and secretion
Papers in
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- PI3K/AKT/mTOR signaling in cancer 7
- Protein Kinase Regulation and GTPase Signaling 4
- Chemical Synthesis and Analysis 3
- Prion Diseases and Protein Misfolding 3
- Biochemical and Molecular Research 3
- Biochemical and Structural Characterization 2
- Oncology 4
- Peptidase Inhibition and Analysis 4
- Co-authors
- Philip A. Cole (10 shared papers)Daniel R. Dempsey (3 shared papers)Zan Chen (4 shared papers)Christian F. W. Becker (6 shared papers)Thibault Viennet (2 shared papers)Sandra B. Gabelli (3 shared papers)Haribabu Arthanari (2 shared papers)L. Mario Amzel (2 shared papers)
- Journals
- eLife (2 papers)Journal of Biological Chemistry (2 papers)ACS Chemical Biology (2 papers)Nature Methods (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Nam Chu
18 papers receiving 463 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 344
- Cell Biology 65
- Genetics 23
- Endocrine and Autonomic Systems 14
- Neurology 14
Countries citing papers authored by Nam Chu
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 113 | |
| 2 | 2020 | 58 | |
| 3 | 2016 | 48 | |
| 4 | 2008 | 45 | |
| 5 | 2019 | 40 | |
| 6 | 2014 | 22 | |
| 7 | 2022 | 21 | |
| 8 | 2020 | 18 | |
| 9 | 2013 | 18 | |
| 10 | 2010 | 17 | |
| 11 | 2015 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2013 | 12 | |
| 14 | 2009 | 11 | |
| 15 | 2019 | 9 | |
| 16 | 2013 | 3 | |
| 17 | 2016 | 1 | |
| 18 | 2026 | 1 | |
| 19 | 2022 | 0 |
About Nam Chu
Nam Chu is a scholar working on Molecular Biology, Oncology, Surgery, Cell Biology and Infectious Diseases, having authored 19 papers that have together received 468 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Peptidase Inhibition and Analysis (4 papers), Chemical Synthesis and Analysis (3 papers), Prion Diseases and Protein Misfolding (3 papers), Biochemical and Molecular Research (3 papers), Cellular transport and secretion (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Molecular Biology (344 citations), Cell Biology (65 citations), Genetics (23 citations), Endocrine and Autonomic Systems (14 citations) and Neurology (14 citations). Nam Chu has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Philip A. Cole, Daniel R. Dempsey, Zan Chen, Christian F. W. Becker, Thibault Viennet, Sandra B. Gabelli, Haribabu Arthanari, L. Mario Amzel, Scott B. Ficarro and Jarrod A. Marto. Their work appears in journals such as eLife, Journal of Biological Chemistry, ACS Chemical Biology, Nature Methods and The FASEB Journal.
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.