Shugui Chen
Impact in
- Neurology top 5%
- Neurological diseases and metabolism
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
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- Chronic Myeloid Leukemia Treatments 5
-
- Prion Diseases and Protein Misfolding 9
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Witold K. Surewicz (9 shared papers)Satya Prakash Yadav (1 shared paper)John R. Engen (7 shared papers)Thomas E. Smithgall (6 shared papers)Krystyna A. Surewicz (4 shared papers)Shoghag B. Panjarian (2 shared papers)Roxana E. Iacob (2 shared papers)Krzysztof Nieznański (2 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)The Analyst (1 paper)Journal of Pharmaceutical Sciences (1 paper)Journal of Molecular Biology (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Shugui Chen
20 papers receiving 840 citations
Peers
Comparison fields: 5 of 82
- Neurology 216
- Physiology 313
- Nutrition and Dietetics 180
- Hematology 118
- Molecular Biology 659
Countries citing papers authored by Shugui Chen
This map shows the geographic impact of Shugui Chen'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 Shugui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shugui Chen more than expected).
Fields of papers citing papers by Shugui Chen
This network shows the impact of papers produced by Shugui Chen. 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 Shugui Chen. The network helps show where Shugui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shugui Chen, 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 | 2010 | 247 | |
| 2 | 2013 | 102 | |
| 3 | 2012 | 77 | |
| 4 | 2010 | 50 | |
| 5 | 2015 | 45 | |
| 6 | 2013 | 42 | |
| 7 | 2018 | 35 | |
| 8 | 2012 | 35 | |
| 9 | 2011 | 34 | |
| 10 | 2008 | 33 | |
| 11 | 2007 | 31 | |
| 12 | 2013 | 30 | |
| 13 | 2014 | 25 | |
| 14 | 2008 | 18 | |
| 15 | 2013 | 13 | |
| 16 | 1995 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2018 | 10 | |
| 19 | 2021 | 4 | |
| 20 | 2009 | 3 |
About Shugui Chen
Shugui Chen is a scholar working on Hematology, Molecular Biology, Nutrition and Dietetics, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 859 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (9 papers), Chronic Myeloid Leukemia Treatments (5 papers), Alzheimer's disease research and treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Trace Elements in Health (4 papers), Mass Spectrometry Techniques and Applications (2 papers), Fungal Plant Pathogen Control (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Neurology (216 citations), Physiology (313 citations), Nutrition and Dietetics (180 citations), Hematology (118 citations) and Molecular Biology (659 citations). Shugui Chen has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Witold K. Surewicz, Satya Prakash Yadav, John R. Engen, Thomas E. Smithgall, Krystyna A. Surewicz, Shoghag B. Panjarian, Roxana E. Iacob, Krzysztof Nieznański, Jin-Kyu Choi and Vytautas Smirnovas. Their work appears in journals such as Journal of Biological Chemistry, The Analyst, Journal of Pharmaceutical Sciences, Journal of Molecular Biology and Biochemistry.
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.