Kun Ding

35 papers receiving 585 citations

Peers

Kun Ding
Comparison fields: 5 of 132
  • Statistics, Probability and Uncertainty 84
  • Management of Technology and Innovation 42
  • Cancer Research 79
  • General Social Sciences 13
  • Information Systems and Management 26
Replace Jonas Lundberg with:
Jonas Lundberg Sweden
Andreï Mogoutov France
David J. Schoeneck United States
Keita Tsuji Japan
Scott Spangler United States
Mark Johnson United Kingdom
Lei Cui China
Jos Winnink Netherlands
Kun Ding relative to Jonas Lundberg Sweden Jonas Lundberg's profile →
Citations per field
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Jonas Lundberg · 1×
Citations per year

Countries citing papers authored by Kun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Kun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014102
2 201181
3 201471
4 201768
5 201440
6 201825
7 201220
8 201620
9 201519
10 202416
11 202514
12 201613
13 202013
14 20229
15 20208
16 20168
17
Role of WISP3 siRNA in proliferation, apoptosis and invasion of bladder cancer cells.
20158
18 20227
19 20157
20 20157

About Kun Ding

Kun Ding is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty, Information Systems, Management of Technology and Innovation and Materials Chemistry, having authored 37 papers that have together received 602 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (6 papers), Intellectual Property and Patents (3 papers), Viral Infections and Vectors (3 papers), Computational Drug Discovery Methods (3 papers), Advanced Text Analysis Techniques (3 papers), Complex Network Analysis Techniques (2 papers), Advanced Photocatalysis Techniques (2 papers) and Web visibility and informetrics (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (84 citations), Management of Technology and Innovation (42 citations), Cancer Research (79 citations), General Social Sciences (13 citations) and Information Systems and Management (26 citations). Kun Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhiqiang Zou, Shengbo Liu, Bo Wang, Xinran Wang, Xianwen Wang, Wenqing Li, Xiaoling Sun, Di Liu, Jing Xu and Yuan Lin. Their work appears in journals such as Scientometrics, Water Air & Soil Pollution, BMC Infectious Diseases, Oncology Reports and Liver International.

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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