Lan Luan

2.7k citations
39 papers · 2.5k · 1 hit paper · h-index 19

Impact in

Papers in

Lan Luan

38 papers receiving 2.4k citations

Lan Luan's Hit Papers

Ultraflexible nanoelectronic probes form reliable, glial scar–free neural integration 2017 · 498 citations
4980+3+6Years since publication100200300400

Peers

Lan Luan
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 1.1k
  • Condensed Matter Physics 240
  • Materials Chemistry 535
  • Electronic, Optical and Magnetic Materials 182
  • Atomic and Molecular Physics, and Optics 233
Replace Michele Dipalo with:
Michele Dipalo Italy
Ferruccio Pisanello Italy
Clifton G. Fonstad United States
Michael P. Maher United States
Tetsuya Yagi Japan
Tohru Yagi Japan
Yoon‐Kyu Song United States
Sakhrat Khizroev United States
Sheng Wang China
Lan Luan relative to Michele Dipalo Italy Michele Dipalo's profile →
Citations per field
00.5×1.5×2.0×
Michele Dipalo · 1×
Citations per year

Countries citing papers authored by Lan Luan

Since Specialization
Citations

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

Fields of papers citing papers by Lan Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ultraflexible nanoelectronic probes form reliable, glial scar–free neural integration
Hit paper breakdown →
2017498
2 2013348
3 2013195
4 2008173
5 2022132
6 2018128
7 2020114
8 2016105
9 201085
10 202081
11 201171
12 202058
13 201757
14 201953
15 202350
16 202149
17 200944
18 201538
19 201826
20 200718

About Lan Luan

Lan Luan is a scholar working on Cellular and Molecular Neuroscience, Electronic, Optical and Magnetic Materials, Neurology, Condensed Matter Physics and Materials Chemistry, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (21 papers), Diamond and Carbon-based Materials Research (3 papers), Iron-based superconductors research (3 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Physics of Superconductivity and Magnetism (2 papers), Neural dynamics and brain function (2 papers) and Magnetic and transport properties of perovskites and related materials (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Condensed Matter Physics (240 citations), Materials Chemistry (535 citations), Electronic, Optical and Magnetic Materials (182 citations) and Atomic and Molecular Physics, and Optics (233 citations). Lan Luan has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Chong Xie, Zhengtuo Zhao, Ronald Lee Walsworth, Amir Yacoby, M. S. Grinolds, Sungkun Hong, Xiaoling Wei, Ojas Potnis, Andrew K. Dunn and Patrick Maletinsky. Their work appears in journals such as Physical Review B, Science Advances, Neuron, Nature Physics and Cell 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.

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