Run Wang

421 citations
22 papers · 317 · h-index 10

Impact in

Papers in

Run Wang

22 papers receiving 300 citations

Peers

Run Wang
Comparison fields: 5 of 90
  • Bioengineering 42
  • Physical and Theoretical Chemistry 49
  • Atomic and Molecular Physics, and Optics 88
  • Spectroscopy 30
  • Psychiatry and Mental health 25
Replace Prasanna K. Thwar with:
Prasanna K. Thwar United States
K. Fuchs Germany
J. Wiegand Germany
P. Mela Netherlands
Takashi Matsuda Japan
Evgeniya Levy Israel
Tomohiko Hayashi Japan
Emiliano Poli United Kingdom
Syed Khalid Pasha United States
Hideki Toyotama Japan
Run Wang relative to Prasanna K. Thwar United States Prasanna K. Thwar's profile →
Citations per field
00.5×6.3×
Prasanna K. Thwar · 1×
Citations per year

Countries citing papers authored by Run Wang

Since Specialization
Citations

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

Fields of papers citing papers by Run Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994109
2 202331
3 201926
4 199724
5 202017
6 199116
7 199715
8 199312
9 199612
10 20249
11 20208
12 20246
13 20226
14 19976
15 19934
16 20134
17 20233
18
Modified HDDR Process for Producing Anisotropic NdFeB Powders
20012
19 20222
20 20222

About Run Wang

Run Wang is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Cellular and Molecular Neuroscience, Spectroscopy and Psychiatry and Mental health, having authored 22 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Laser-Matter Interactions and Applications (3 papers), Photochemistry and Electron Transfer Studies (2 papers), Neuropeptides and Animal Physiology (2 papers), Surfactants and Colloidal Systems (2 papers), Magnetic Properties and Applications (2 papers) and Mycorrhizal Fungi and Plant Interactions (2 papers). The work is most often cited by research in Bioengineering (42 citations), Physical and Theoretical Chemistry (49 citations), Atomic and Molecular Physics, and Optics (88 citations), Spectroscopy (30 citations) and Psychiatry and Mental health (25 citations). Run Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Frank V. Bright, Upvan Narang, Paras N. Prasad, Hunter C. Champion, Philip J. Kadowitz, William A. Murphy, David H. Coy, Wayne J.G. Hellstrom, Wei Cao and Peixiang Lu. Their work appears in journals such as Applied Spectroscopy, Optics Express, The Science of The Total Environment, Applied Spectroscopy Reviews and Sensors and Actuators B Chemical.

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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