Yingchun Dong

1.2k total citations
46 papers, 871 citations indexed

About

Yingchun Dong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yingchun Dong has authored 46 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yingchun Dong's work include Axon Guidance and Neuronal Signaling (8 papers), Groundwater and Isotope Geochemistry (5 papers) and Tracheal and airway disorders (4 papers). Yingchun Dong is often cited by papers focused on Axon Guidance and Neuronal Signaling (8 papers), Groundwater and Isotope Geochemistry (5 papers) and Tracheal and airway disorders (4 papers). Yingchun Dong collaborates with scholars based in China, Japan and United States. Yingchun Dong's co-authors include Yanhong Ni, Liang Ding, Qingang Hu, Jiandong Wang, Shaorui Chen, Hui‐Lin Pan, S. J. Gallimore, H. P. Hodson, Xiaofeng Huang and Xiaojun Zhou and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Yingchun Dong

45 papers receiving 859 citations

Peers

Yingchun Dong
Comparison fields: 5 of 97
  • Molecular Biology 375
  • Cellular and Molecular Neuroscience 179
  • Oncology 169
  • Physiology 149
  • Immunology 122
Takeru Hamashima Japan
Yoshitaka Yamanaka Japan
Yongfeng Fan United States
Usama Abo‐Ramadan Finland
Pei‐Lung Chen Taiwan
Jing Qian China
Sandrine Bichet Switzerland
Ryan T. Mott United States
Manuel Zeitelhofer Sweden
Takeru Hamashima Japan View profile →
Citations per field, relative to Yingchun Dong
Yingchun Dong · 1×
Citations per year, relative to Yingchun Dong
Yingchun Dong · 1×

Countries citing papers authored by Yingchun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yingchun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingchun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yingchun Dong. A scholar is included among the top collaborators of Yingchun 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 Yingchun Dong. Yingchun 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 1
2 4
3 0
4 8
5 1
6 4
7 8
8 9
9 6
10 22
11 22
12 46
13 158
14 75
15 11
16 11
17 43
18 25
19 22
20 52

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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