Ding Xiong

23 papers receiving 337 citations

Peers

Ding Xiong
Comparison fields: 5 of 100
  • Cell Biology 53
  • Biophysics 17
  • Business and International Management 5
  • Molecular Biology 175
  • Management Information Systems 19
Replace Lining Zhang with:
Lining Zhang China
Gus A. Wright United States
Lida Xu China
Nina Kristine Reitan Norway
Maximilian Hörner Germany
Leo Scheller Switzerland
Jeremy J. Velazquez United States
Coralie Trentesaux France
Seth J. Salpeter Israel
Yilin Hou China
Ding Xiong relative to Lining Zhang China Lining Zhang's profile →
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Citations per year

Countries citing papers authored by Ding Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Ding Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201785
2 200953
3 201646
4 202429
5 202323
6 201714
7 202313
8 200912
9 202110
10 20148
11 20258
12 20097
13 20227
14 20146
15 20245
16 20245
17 20222
18
Relation of abnormal gallbladder arterioles to gallbladder emptying in patients with gallstone and diabetes mellitus.
20042
19 20251
20 20251

About Ding Xiong

Ding Xiong is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Cell Biology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 340 indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (3 papers), Electrohydrodynamics and Fluid Dynamics (2 papers), Sustainable Supply Chain Management (2 papers), Quantum Mechanics and Applications (2 papers), Power Transformer Diagnostics and Insulation (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Supply Chain and Inventory Management (2 papers) and Oral microbiology and periodontitis research (2 papers). The work is most often cited by research in Cell Biology (53 citations), Biophysics (17 citations), Business and International Management (5 citations), Molecular Biology (175 citations) and Management Information Systems (19 citations). Ding Xiong has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Min Wu, Zhiwei Ang, Jeak Ling Ding, George Stamatoyannopoulos, David W. Emery, Chang Long Li, Min Wu, Qingsong Lin, Fubito Nakatsu and Su Guo. Their work appears in journals such as ACS Applied Materials & Interfaces, Physics of Fluids, Biomaterials, Molecular Therapy and Frontiers in Cell and Developmental Biology.

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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