Xiaobing Chen

2.1k citations
40 papers · 1.5k · h-index 17

Impact in

Papers in

Xiaobing Chen

39 papers receiving 1.5k citations

Peers

Xiaobing Chen
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 885
  • Structural Biology 62
  • Developmental Neuroscience 75
  • Biophysics 90
  • Cell Biology 241
Replace Gabriele Lignani with:
Gabriele Lignani United Kingdom
Irina Dudanova Germany
Andrea Barberis Italy
Ai‐Hui Tang China
Enrica Maria Petrini Italy
Marta Maglione Germany
Jong‐Cheol Rah South Korea
Julien P. Dupuis France
W. Bryan Smith United States
Ingrid Chamma France
Xiaobing Chen relative to Gabriele Lignani United Kingdom Gabriele Lignani's profile →
Citations per field
00.5×1.5×1.8×
Gabriele Lignani · 1×
Citations per year

Countries citing papers authored by Xiaobing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011233
2 2015224
3 2008214
4 2005175
5 2003158
6 201569
7 201668
8 201646
9 200646
10 201534
11 202032
12 202023
13 202021
14 202018
15 202317
16 201317
17 202316
18 202112
19 201212
20 202311

About Xiaobing Chen

Xiaobing Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics, Materials Chemistry and Cognitive Neuroscience, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Photoreceptor and optogenetics research (6 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Lipid Membrane Structure and Behavior (5 papers), Neural dynamics and brain function (4 papers), RNA Interference and Gene Delivery (3 papers), Advanced Battery Technologies Research (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (885 citations), Structural Biology (62 citations), Developmental Neuroscience (75 citations), Biophysics (90 citations) and Cell Biology (241 citations). Xiaobing Chen has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Thomas S. Reese, Richard D. Leapman, Christine A. Winters, Rita Azzam, Alioscka A. Sousa, Jennifer D. Petersen, Lúcia Vinadé, Morgan Sheng, Jonathan M. Levy and Roger A. Nicoll. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Synaptic Neuroscience, Journal of Neuroscience, The Journal of Chemical Physics and Biophysical Journal.

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.

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