Yingchun Yu

1.8k total citations
42 papers, 1.4k citations indexed

About

Yingchun Yu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yingchun Yu has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Immunology. Recurrent topics in Yingchun Yu's work include Cystic Fibrosis Research Advances (6 papers), Neonatal Respiratory Health Research (4 papers) and Chemokine receptors and signaling (4 papers). Yingchun Yu is often cited by papers focused on Cystic Fibrosis Research Advances (6 papers), Neonatal Respiratory Health Research (4 papers) and Chemokine receptors and signaling (4 papers). Yingchun Yu collaborates with scholars based in United States, Taiwan and China. Yingchun Yu's co-authors include Ann Richmond, Michael Aschner, Lillian B. Nanney, Snjezana Zaja‐Milatovic, Dejan Milatović, Jianguo Du, Ramesh C. Gupta, Madhav N. Devalaraja, Yingjun Su and Samuel Caito and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Yingchun Yu

36 papers receiving 1.4k citations

Peers

Yingchun Yu
Comparison fields: 5 of 124
  • Molecular Biology 444
  • Immunology 403
  • Oncology 352
  • Health, Toxicology and Mutagenesis 174
  • Nutrition and Dietetics 147
Replace Maurizio Podda with:
Maurizio Podda Germany
Shangxi Liu Canada
Gaku Tsuji Japan
Norihisa Uehara Japan
Jay P. Tiesman United States
Yi‐Wen Liu Taiwan
Małgorzata Gajewska Poland
Sandrine Dubrac Austria
Roberta Maggio Italy
Oleg Mirochnitchenko United States
Maurizio Podda Germany View profile →
Citations per field, relative to Yingchun Yu
Yingchun Yu · 1×
Citations per year, relative to Yingchun Yu
Yingchun Yu · 1×

Countries citing papers authored by Yingchun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yingchun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingchun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingchun Yu. A scholar is included among the top collaborators of Yingchun Yu 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 Yu. Yingchun Yu 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 1
3 2
4 0
5 4
6 30
7 6
8 11
9 30
10 27
11 45
12 22
13 34
14 68
15 29
16 188
17 74
18 43
19 333
20 32

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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2026