Hangjun Wu

1.2k citations
32 papers · 947 · h-index 16

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Hangjun Wu

32 papers receiving 929 citations

Peers

Hangjun Wu
Comparison fields: 5 of 109
  • Physiology 118
  • Neurology 141
  • Acoustics and Ultrasonics 10
  • Ceramics and Composites 52
  • Biological Psychiatry 21
Replace A. Giovannelli with:
A. Giovannelli Italy
Danek Elbaum Poland
M. Miyake Japan
Congying Wang China
Craig D. Hughes United Kingdom
Paweł Pomorski Poland
Preethi S. Ganapathy United States
Paolo Carrara France
Gary Mo United States
Sun‐Hee Woo South Korea
Hangjun Wu relative to A. Giovannelli Italy A. Giovannelli's profile →
Citations per field
00.5×7.6×
A. Giovannelli · 1×
Citations per year

Countries citing papers authored by Hangjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hangjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012187
2 2021103
3 201374
4 202071
5 201361
6 202153
7 201848
8 201245
9 200744
10 201426
11 201424
12 201322
13 202219
14 201319
15 201517
16 201316
17 201515
18 202315
19 201313
20 201313

About Hangjun Wu

Hangjun Wu is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Molecular Biology, Acoustics and Ultrasonics and Electrical and Electronic Engineering, having authored 32 papers that have together received 947 indexed citations. Recurring topics across this work include Photonic Crystals and Applications (15 papers), Luminescence Properties of Advanced Materials (15 papers), Random lasers and scattering media (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Adenosine and Purinergic Signaling (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Nonlinear Optical Materials Studies (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Physiology (118 citations), Neurology (141 citations), Acoustics and Ultrasonics (10 citations), Ceramics and Composites (52 citations) and Biological Psychiatry (21 citations). Hangjun Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jianbei Qiu, Zhiguo Song, Dacheng Zhou, Hui-quan Li, Shumin Duan, Huifang Lou, Yong Yang, Ying Dou, Jiayan Liao and Zhengwen Yang. Their work appears in journals such as Journal of Alloys and Compounds, Optics Express, Cell Research, Nature Communications 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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