Boran Han

16 papers receiving 707 citations

Boran Han's Hit Papers

Early warning of complex climate risk with integrated artificial intelligence 2025 · 22 citations
220Years since publication5101520

Peers

Boran Han
Comparison fields: 5 of 94
  • Structural Biology 46
  • Biophysics 136
  • Aging 23
  • Cell Biology 162
  • Cellular and Molecular Neuroscience 126
Replace Florian Ströhl with:
Florian Ströhl United Kingdom
Takako Kogure Japan
Bethe A. Scalettar United States
Chenglong Xia United States
Edwin Araúz United States
Nathan Curry United Kingdom
Chika Ohshima Japan
Andreas Papadopulos Australia
Nils Norlin Sweden
Adam G. Hendricks United States
Boran Han relative to Florian Ströhl United Kingdom Florian Ströhl's profile →
Citations per field
00.5×2×2.6×
Florian Ströhl · 1×
Citations per year

Countries citing papers authored by Boran Han

Since Specialization
Citations

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

Fields of papers citing papers by Boran Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2016261
2 2016127
3 2017100
4 201992
5 201036
6 202227
7 201123
8
Early warning of complex climate risk with integrated artificial intelligence
Hit paper breakdown →
202522
9 201014
10 20128
11 20128
12 20184
13 20254
14 20222
15 20211
16 20211

About Boran Han

Boran Han is a scholar working on Atomic and Molecular Physics, and Optics, Biophysics, Molecular Biology, Computer Vision and Pattern Recognition and Spectroscopy, having authored 16 papers that have together received 730 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (5 papers), Advanced Chemical Physics Studies (4 papers), Spectroscopy and Laser Applications (3 papers), Quantum, superfluid, helium dynamics (3 papers), Cellular Mechanics and Interactions (2 papers), RNA Research and Splicing (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Structural Biology (46 citations), Biophysics (136 citations), Aging (23 citations), Cell Biology (162 citations) and Cellular and Molecular Neuroscience (126 citations). Boran Han has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Ruobo Zhou, Xiaowei Zhuang, Chong Wang, Chenglong Xia, Yujun Zheng, Evan Heller, Huan Yang, A. J. C. Varandas, Zhuhao Wu and David Simon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Chemical Physics Letters, Physical Chemistry Chemical Physics and Journal of Computational Chemistry.

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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