Nan Xia

432 citations
29 papers · 287 · h-index 10

Impact in

Papers in

Nan Xia

26 papers receiving 278 citations

Peers

Nan Xia
Comparison fields: 5 of 58
  • Cellular and Molecular Neuroscience 130
  • Cognitive Neuroscience 74
  • Sensory Systems 14
  • Developmental Neuroscience 10
  • Endocrine and Autonomic Systems 10
Replace William G. A. Brown with:
William G. A. Brown Australia
Amr Al Abed Australia
Umesh Vivekananda United Kingdom
Michael Schwaerzle Germany
Suzie Dufour Canada
Jonathan M. Cayce United States
Christian Goßler Germany
Julianna M. Richie United States
Austin R. Duke United States
David Liao United States
Nan Xia relative to William G. A. Brown Australia William G. A. Brown's profile →
Citations per field
00.5×1.6×
William G. A. Brown · 1×
Citations per year

Countries citing papers authored by Nan Xia

Since Specialization
Citations

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

Fields of papers citing papers by Nan Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201548
2 202242
3 201325
4 201525
5 201825
6 201916
7 201615
8 202113
9 201710
10 201910
11 20209
12 20208
13 20237
14 20177
15 20225
16 20204
17 20154
18 20143
19
Microcoil-array-based multichannel transcutaneous transmission for implantable neural electrical stimulation
20122
20 20152

About Nan Xia

Nan Xia is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 287 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (8 papers), Photonic Crystal and Fiber Optics (8 papers), Advanced Fiber Laser Technologies (7 papers), Advanced Fiber Optic Sensors (5 papers), Neuroscience and Neural Engineering (5 papers), Neural dynamics and brain function (5 papers), Optical Network Technologies (3 papers) and Laser Applications in Dentistry and Medicine (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (130 citations), Cognitive Neuroscience (74 citations), Sensory Systems (14 citations), Developmental Neuroscience (10 citations) and Endocrine and Autonomic Systems (10 citations). Nan Xia has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiaodong Tan, Claus‐Peter Richter, Seongwoo Yoo, Wensheng Hou, Suhrud M. Rajguru, Stuart R. Stock, Xianghui Xiao, Yingyue Xu, Xing Wang and Xiao Zheng. Their work appears in journals such as Frontiers in Pediatrics, Neurophotonics, Optics Express, IEEE Photonics Technology Letters and Lasers in Medical Science.

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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