Suzhen Chen
Impact in
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- Nerve injury and regeneration
- Axon Guidance and Neuronal Signaling
- Developmental Neuroscience top 10%
Papers in
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- Liver Disease Diagnosis and Treatment 5
- Sepsis Diagnosis and Treatment 1
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- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Melitta Schachner (9 shared papers)Ling Dong (3 shared papers)Martin Grumet (3 shared papers)Ling Dong (2 shared papers)Ned Mantei (1 shared paper)Sylvain Lehmann (1 shared paper)Alain Mangé (1 shared paper)Patricia F. Maness (1 shared paper)
- Journals
- Obesity (3 papers)Cell Metabolism (3 papers)Journal of Molecular Cell Biology (2 papers)Molecular and Cellular Neuroscience (2 papers)Nutrition & Metabolism (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Suzhen Chen
50 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 206
- Developmental Neuroscience 34
- Immunology and Allergy 61
- Physiology 117
- Molecular Biology 261
Countries citing papers authored by Suzhen Chen
This map shows the geographic impact of Suzhen 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 Suzhen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzhen Chen more than expected).
Fields of papers citing papers by Suzhen Chen
This network shows the impact of papers produced by Suzhen 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 Suzhen Chen. The network helps show where Suzhen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzhen 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
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 193 | |
| 2 | 2021 | 180 | |
| 3 | 2003 | 157 | |
| 4 | 1999 | 154 | |
| 5 | 2003 | 140 | |
| 6 | 2003 | 97 | |
| 7 | 2005 | 94 | |
| 8 | 2021 | 93 | |
| 9 | 2007 | 61 | |
| 10 | 2000 | 58 | |
| 11 | 2019 | 56 | |
| 12 | 2022 | 53 | |
| 13 | 2015 | 32 | |
| 14 | 2024 | 26 | |
| 15 | 2025 | 26 | |
| 16 | 2003 | 23 | |
| 17 | 2019 | 22 | |
| 18 | 2010 | 19 | |
| 19 | 2013 | 19 | |
| 20 | Protective role of JNK inhibitor SP600125 in sepsis-induced acute lung injury. | 2019 | 19 |
About Suzhen Chen
Suzhen Chen is a scholar working on Epidemiology, Nephrology, Physiology, Hepatology and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Adipose Tissue and Metabolism (5 papers), Chronic Kidney Disease and Diabetes (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Prenatal Substance Exposure Effects (1 paper), Axon Guidance and Neuronal Signaling (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Sepsis Diagnosis and Treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (206 citations), Developmental Neuroscience (34 citations), Immunology and Allergy (61 citations), Physiology (117 citations) and Molecular Biology (261 citations). Suzhen Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Melitta Schachner, Ling Dong, Martin Grumet, Ling Dong, Ned Mantei, Sylvain Lehmann, Alain Mangé, Patricia F. Maness, Ronald D. Graff and John J. Hemperly. Their work appears in journals such as Obesity, Cell Metabolism, Journal of Molecular Cell Biology, Molecular and Cellular Neuroscience and Nutrition & Metabolism.
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.