Su‐Chen Li

104 papers receiving 2.4k citations

Peers

Su‐Chen Li
Comparison fields: 5 of 115
  • Biotechnology 264
  • Organic Chemistry 773
  • Physiology 646
  • Molecular Biology 1.7k
  • Cell Biology 349
Replace Yu‐Teh Li with:
Yu‐Teh Li United States
Wilma E. Donker‐Koopman Netherlands
Júlia Costa Portugal
Masao Iwamori Japan
Jin‐ichi Inokuchi Japan
Ichiro Matsuo Japan
B.K. Bachhawat India
Martina Gentzsch United States
Bruno Maras Italy
Mohinder K. Sardana United States
Su‐Chen Li relative to Yu‐Teh Li United States Yu‐Teh Li's profile →
Citations per field
00.5×1.5×1.9×
Yu‐Teh Li · 1×
Citations per year

Countries citing papers authored by Su‐Chen Li

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Chen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Chen Li. 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 Su‐Chen Li. The network helps show where Su‐Chen Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970265
2 1971192
3 201399
4 197389
5 197085
6 200083
7 198671
8 201261
9 201159
10 201252
11 199050
12 199849
13 198249
14 197447
15 198145
16 197144
17 200440
18 196838
19 199837
20 200635

About Su‐Chen Li

Su‐Chen Li is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Biotechnology and Epidemiology, having authored 106 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (59 papers), Carbohydrate Chemistry and Synthesis (45 papers), Lysosomal Storage Disorders Research (24 papers), Enzyme Production and Characterization (16 papers), Neuroendocrine Tumor Research Advances (10 papers), Lung Cancer Research Studies (9 papers), Sphingolipid Metabolism and Signaling (8 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Biotechnology (264 citations), Organic Chemistry (773 citations), Physiology (646 citations), Molecular Biology (1.7k citations) and Cell Biology (349 citations). Su‐Chen Li has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Yu‐Teh Li, Bader Siddiqui, Carl Gustaf Hellerqvist, Sen‐itiroh Hakomori, Valeria Giandomenico, Mary Y. Mazzotta, Hideo Suzuki, Christine Schubert Wright, Fraydoon Rastinejad and Yoshio Hirabayashi. Their work appears in journals such as Journal of Biological Chemistry, Methods in enzymology on CD-ROM/Methods in enzymology, Advances in experimental medicine and biology, Biochemical and Biophysical Research Communications and Scientific Reports.

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