Kangning Dong

1.0k total citations · 1 hit paper
21 papers, 470 citations indexed

About

Kangning Dong is a scholar working on Molecular Biology, Water Science and Technology and Biomedical Engineering. According to data from OpenAlex, Kangning Dong has authored 21 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Water Science and Technology and 5 papers in Biomedical Engineering. Recurrent topics in Kangning Dong's work include Single-cell and spatial transcriptomics (10 papers), Gene expression and cancer classification (6 papers) and Advanced oxidation water treatment (5 papers). Kangning Dong is often cited by papers focused on Single-cell and spatial transcriptomics (10 papers), Gene expression and cancer classification (6 papers) and Advanced oxidation water treatment (5 papers). Kangning Dong collaborates with scholars based in China, Germany and Japan. Kangning Dong's co-authors include Shihua Zhang, Xiang Zhou, Luonan Chen, Kazuyuki Aihara, Yupeng Zhang, Shuai Zuo, Ruirui Wang, Juan Sun, Yi Du and Xiaodong Zhao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Genome biology.

In The Last Decade

Kangning Dong

19 papers receiving 465 citations

Hit Papers

Deciphering spatial domains from spatially resolved trans... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers

Kangning Dong
Comparison fields: 5 of 56
  • Molecular Biology 420
  • Cancer Research 62
  • Biophysics 59
  • Immunology 57
  • Biomedical Engineering 25
Replace Yinlei Hu with:
Yinlei Hu China
Pierre Boyeau United States
Minghao Fang China
Meifang Tang China
Chengwei Zhong Singapore
Jingyang Qian China
Annika Krüger Germany
Christian Schunck Germany
Max Land United States
Sebastian Tiesmeyer Germany
Yinlei Hu China View profile →
Citations per field, relative to Kangning Dong
Kangning Dong · 1×
Citations per year, relative to Kangning Dong
Kangning Dong · 1×

Countries citing papers authored by Kangning Dong

Since Specialization
Citations

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

Fields of papers citing papers by Kangning Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangning Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Kangning Dong. A scholar is included among the top collaborators of Kangning Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kangning Dong. Kangning Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 3
5 5
6 1
7 2
8 2
9 6
10 9
11 8
12 30
13 67
14 2
15 11
16 7
17 4
18
Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder breakdown →
293
19 7
20 9

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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