Jingda Tang

3.6k citations
73 papers · 3.0k · h-index 28

Impact in

Papers in

Jingda Tang

68 papers receiving 2.9k citations

Peers

Jingda Tang
Comparison fields: 5 of 122
  • Molecular Medicine 903
  • Polymers and Plastics 557
  • Biomedical Engineering 1.6k
  • Biomaterials 427
  • Mechanical Engineering 966
Replace Jiang He with:
Jiang He China
Jingjing Wu China
Ruobing Bai United States
Claudia E. Varela United States
Francesco Greco Italy
Canhui Yang China
Xiaoyu Hu China
Quansan Yang United States
Stephen Beirne Australia
Jingda Tang relative to Jiang He China Jiang He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jingda Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jingda Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017266
2 2017209
3 2016201
4 2019142
5 2021131
6 2018128
7 2019124
8 2019109
9 201899
10 201599
11 202187
12 201980
13 202175
14 202265
15 199964
16 201962
17 201959
18 199359
19 201958
20 201856

About Jingda Tang

Jingda Tang is a scholar working on Biomedical Engineering, Molecular Medicine, Mechanical Engineering, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (25 papers), Hydrogels: synthesis, properties, applications (23 papers), Advanced Materials and Mechanics (21 papers), Pain Mechanisms and Treatments (13 papers), Micro and Nano Robotics (13 papers), Textile materials and evaluations (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). The work is most often cited by research in Molecular Medicine (903 citations), Polymers and Plastics (557 citations), Biomedical Engineering (1.6k citations), Biomaterials (427 citations) and Mechanical Engineering (966 citations). Jingda Tang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhigang Suo, Joost J. Vlassak, Hang Yang, Jian Hu, Tongqing Lu, Jianyu Li, Chenghai Li, Qianfeng Yin, Bonan Sun and Tiejun Wang. Their work appears in journals such as Neuroscience, Journal of the Mechanics and Physics of Solids, Extreme Mechanics Letters, Journal of Applied Mechanics and Journal of Materials Chemistry B.

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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