Bin Chen

4.3k citations
128 papers · 3.3k · h-index 32

Impact in

Papers in

Bin Chen

121 papers receiving 3.3k citations

Peers

Bin Chen
Comparison fields: 5 of 131
  • Developmental Neuroscience 666
  • Cellular and Molecular Neuroscience 616
  • Cancer Research 388
  • Molecular Biology 1.7k
  • Pharmacology 357
Replace Donald P. Pizzo with:
Donald P. Pizzo United States
Takafumi Wataya Japan
Carol M. Troy United States
Michal Hetman United States
Lin Xiao China
Sung‐Wuk Jang South Korea
Seong-Woon Yu South Korea
Natalia N. Ninkina United Kingdom
Sean P. Cregan Canada
Jie Luo China
Bin Chen relative to Donald P. Pizzo United States Donald P. Pizzo's profile →
Citations per field
00.5×1.5×2.1×
Donald P. Pizzo · 1×
Citations per year

Countries citing papers authored by Bin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008311
2 2005294
3 2011207
4 2013141
5 201194
6 201786
7 201879
8 202076
9 201374
10 201968
11 202265
12 201663
13 201757
14 201957
15 200555
16 202254
17 201850
18 201950
19 201949
20 200346

About Bin Chen

Bin Chen is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Pharmacology, Molecular Biology and Cancer Research, having authored 128 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (17 papers), Microbial Natural Products and Biosynthesis (13 papers), Hereditary Neurological Disorders (9 papers), Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (8 papers), Marine Sponges and Natural Products (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Developmental Neuroscience (666 citations), Cellular and Molecular Neuroscience (616 citations), Cancer Research (388 citations), Molecular Biology (1.7k citations) and Pharmacology (357 citations). Bin Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Susan K. McConnell, Laura R. Schaevitz, William L. McKenna, Dino P. Leone, Karpagam Srinivasan, Elizabeth Alcamo, John L.R. Rubenstein, Chao Guo, Matthew J. Eckler and Kathryn Larkin. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences, Frontiers in Neurology, Journal of Neuroscience and The Journal of Comparative Neurology.

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