Ming Fan

677 citations
13 papers · 390 · 1 hit paper · h-index 4

Impact in

Papers in

Ming Fan

12 papers receiving 373 citations

Ming Fan's Hit Papers

Fast high-resolution miniature two-photon microscopy for brain imaging in freely behaving mice 2017 · 349 citations
3490+3+6Years since publication100200300

Peers

Ming Fan
Comparison fields: 5 of 82
  • Biophysics 163
  • Acoustics and Ultrasonics 9
  • Cellular and Molecular Neuroscience 143
  • Structural Biology 9
  • Cognitive Neuroscience 88
Replace Keith J. Kelleher with:
Keith J. Kelleher United States
Cheng-Hsun Wu Taiwan
Máté Veress Hungary
Pál Maák Hungary
Rongwen Lu United States
Francisca Martínez Traub United States
Frank Tejera United States
Marcel van ’t Hoff France
K. M. Naga Srinivas Nadella United Kingdom
Paul A. Kirkby United Kingdom
Ming Fan relative to Keith J. Kelleher United States Keith J. Kelleher's profile →
Citations per field
00.5×3.4×
Keith J. Kelleher · 1×
Citations per year

Countries citing papers authored by Ming Fan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Fast high-resolution miniature two-photon microscopy for brain imaging in freely behaving mice
Hit paper breakdown →
2017349
2 201423
3 20034
4 20173
5 20052
6 19992
7 20142
8 20021
9 20141
10 20161
11 19971
12 19981
13 20160

About Ming Fan

Ming Fan is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Biophysics, Electronic, Optical and Magnetic Materials and Organic Chemistry, having authored 13 papers that have together received 390 indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Copper Interconnects and Reliability (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Cell Image Analysis Techniques (1 paper), Pigment Synthesis and Properties (1 paper), Sharing Economy and Platforms (1 paper) and Epoxy Resin Curing Processes (1 paper). The work is most often cited by research in Biophysics (163 citations), Acoustics and Ultrasonics (9 citations), Cellular and Molecular Neuroscience (143 citations), Structural Biology (9 citations) and Cognitive Neuroscience (88 citations). Ming Fan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Weijian Zong, Liangyi Chen, Hongbo Jia, Jinghang Li, Haitao Wu, Yanhui Hu, Aimin Wang, Yang Lu, Yunfeng Zhang and Yangyang Xu. Their work appears in journals such as Nature Methods, Biomedical Optics Express, Materials science forum, SSRN Electronic Journal and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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