Tan Ding

1.6k citations
76 papers · 993 · h-index 20

Impact in

Papers in

Tan Ding

70 papers receiving 978 citations

Peers

Tan Ding
Comparison fields: 5 of 121
  • Radiology, Nuclear Medicine and Imaging 217
  • Cellular and Molecular Neuroscience 176
  • Biomaterials 104
  • Pathology and Forensic Medicine 104
  • Rehabilitation 37
Replace Atousa Janzadeh with:
Atousa Janzadeh Iran
Cláudio Henrique Barbieri Brazil
Da Jing China
Nílton Mazzer Brazil
Karina Torres Pomini Brazil
Renata Falchete do Prado Brazil
David E. Komatsu United States
Meiqing Wang China
Wojciech Maksymowicz Poland
Gökhan Duruksu Türkiye
Tan Ding relative to Atousa Janzadeh Iran Atousa Janzadeh's profile →
Citations per field
00.5×1.5×2.3×
Atousa Janzadeh · 1×
Citations per year

Countries citing papers authored by Tan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Tan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202177
2 200954
3 202251
4 201150
5 201949
6 200845
7 202032
8 202431
9 202030
10 202229
11 202329
12 201827
13 202126
14 201826
15 201425
16 201423
17 201923
18 201922
19 202022
20 201820

About Tan Ding

Tan Ding is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology, Surgery, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 76 papers that have together received 993 indexed citations. Recurring topics across this work include Laser Applications in Dentistry and Medicine (14 papers), Pain Mechanisms and Treatments (8 papers), Spinal Cord Injury Research (8 papers), Nerve injury and regeneration (8 papers), Medical and Biological Ozone Research (4 papers), Respiratory viral infections research (4 papers), Hydrogen's biological and therapeutic effects (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (217 citations), Cellular and Molecular Neuroscience (176 citations), Biomaterials (104 citations), Pathology and Forensic Medicine (104 citations) and Rehabilitation (37 citations). Tan Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xueyu Hu, Zhuowen Liang, Zheng Yan, Zhe Wang, Jiawei Zhang, Xiaoshuang Zuo, Yangguang Ma, Kun Li, Xuankang Wang and Jun-Bin Yin. Their work appears in journals such as Lasers in Medical Science, Computer Methods and Programs in Biomedicine, Bioresource Technology, Materials Today Chemistry and Clinical Autonomic Research.

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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