Suzhen Chen

2.1k citations
56 papers · 1.6k · h-index 17

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 4
    • Glycosylation and Glycoproteins Research 4
    • Peroxisome Proliferator-Activated Receptors 3
    • Adipose Tissue and Metabolism 5

Suzhen Chen

53 papers receiving 1.5k citations

Peers

Suzhen Chen
Comparison fields: 5 of 124
  • Developmental Neuroscience 287
  • Cellular and Molecular Neuroscience 481
  • Neurology 156
  • Cell Biology 196
  • Immunology and Allergy 62
Replace John Lee with:
John Lee United States
Margrit Hollborn Germany
Jaya Padmanabhan United States
Jilin Sun United States
Zhifang Li China
Hiroyuki Yamazaki Japan
Harald Frankowski United States
Dominic C.H. Ng Australia
Girish V. Putcha United States
Natalia E. Abramova United States
Suzhen Chen relative to John Lee United States John Lee's profile →
Citations per field
00.5×2×2.7×
John Lee · 1×
Citations per year

Countries citing papers authored by Suzhen Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Suzhen Chen Line = papers co-authored together Suzhen Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999192
2 2021171
3 2003158
4 1999154
5 2003140
6 200397
7 200594
8 202182
9 200760
10 200057
11 201532
12 202425
13 200323
14 201921
15
Protective role of JNK inhibitor SP600125 in sepsis-induced acute lung injury.
201920
16 201319
17 201019
18 200217
19 201116
20 200316

About Suzhen Chen

Suzhen Chen is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Cancer Research, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Glycosylation and Glycoproteins Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Diet, Metabolism, and Disease (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Developmental Neuroscience (287 citations), Cellular and Molecular Neuroscience (481 citations), Neurology (156 citations), Cell Biology (196 citations) and Immunology and Allergy (62 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, John J. Hemperly, Patricia F. Maness and Ronald D. Graff. Their work appears in journals such as Obesity, Nutrition & Metabolism, Cell Metabolism, Molecular and Cellular Neuroscience and Journal of Molecular Cell Biology.

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.

Explore authors with similar magnitude of impact