Junru Wu

1.2k citations
23 papers · 938 · h-index 10

Impact in

Papers in

Junru Wu

22 papers receiving 926 citations

Peers

Junru Wu
Comparison fields: 5 of 84
  • Structural Biology 18
  • Biomedical Engineering 495
  • Biophysics 62
  • Atomic and Molecular Physics, and Optics 332
  • Cardiology and Cardiovascular Medicine 202
Replace Qingsen Li with:
Qingsen Li Italy
Rachel Mahaffy United States
М. Н. Стародубцева Belarus
Kenichi Umeda Japan
Andreea Trache United States
Matthew A. Caporizzo United States
Sam Walcott United States
G. Romano Italy
Hervé Guillou France
William F. Heinz United States
Junru Wu relative to Qingsen Li Italy Qingsen Li's profile →
Citations per field
00.5×7.5×
Qingsen Li · 1×
Citations per year

Countries citing papers authored by Junru Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junru Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991351
2 1997209
3 2019109
4 199895
5 202047
6 202424
7 201823
8 201721
9 200312
10 202211
11 20228
12 19997
13 20245
14 20154
15 20023
16 20222
17 20242
18 20191
19 20231
20 20251

About Junru Wu

Junru Wu is a scholar working on Biomedical Engineering, Ocean Engineering, Molecular Biology, Mechanics of Materials and Mechanical Engineering, having authored 23 papers that have together received 938 indexed citations. Recurring topics across this work include Enhanced Oil Recovery Techniques (3 papers), Hydrocarbon exploration and reservoir analysis (3 papers), Ultrasound and Hyperthermia Applications (3 papers), Photodynamic Therapy Research Studies (2 papers), Muscle Physiology and Disorders (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Hydraulic Fracturing and Reservoir Analysis (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Structural Biology (18 citations), Biomedical Engineering (495 citations), Biophysics (62 citations), Atomic and Molecular Physics, and Optics (332 citations) and Cardiology and Cardiovascular Medicine (202 citations). Junru Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guy G. Kennedy, David M. Warshaw, Joseph B. Patlak, William H. Guilford, Feng Gao, Yanzuo Chen, Yan Wang, Hongliang Xin, Xinyu Hou and Muye He. Their work appears in journals such as The Journal of the Acoustical Society of America, Scientific Reports, iScience, Clinical Neurology and Neurosurgery and Proceedings of the National Academy of Sciences.

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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