Ying-Jiun J. Chen

2.3k citations
11 papers · 1.0k indexed · h-index 9
Topics
Monoclonal and Polyclonal Antibodies Research (3 papers)Neuroscience and Neuropharmacology Research (2 papers)T-cell and B-cell Immunology (2 papers)
Partner nations
United StatesIndiaJapan

In The Last Decade

Ying-Jiun J. Chen

11 papers receiving 1.0k citations

Peers

Ying-Jiun J. Chen
Comparison fields: 5 of 74
  • Molecular Biology 673
  • Cellular and Molecular Neuroscience 269
  • Developmental Neuroscience 185
  • Immunology 171
  • Oncology 139
Replace Belinda S. Harris with:
Belinda S. Harris United States
Yasuko Minaki Japan
Blue B. Lake United States
Tomoya Nakatani Japan
Lia Panman United Kingdom
Sebastian Lugert Switzerland
Nadejda M. Tsankova United States
Stephanie Bielas United States
Zofia M. Lasiecka United States
Ying-Jiun J. Chen relative to Belinda S. Harris United States Belinda S. Harris's profile →
Citations per field
00.5×2.7×
Belinda S. Harris · 1×
Citations per year

Countries citing papers authored by Ying-Jiun J. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Jiun J. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Jiun J. Chen. 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 Ying-Jiun J. Chen. The network helps show where Ying-Jiun J. Chen may publish in the future.

Co-authorship network of co-authors of Ying-Jiun J. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Jiun J. Chen. A scholar is included among the top collaborators of Ying-Jiun J. Chen 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 Ying-Jiun J. Chen. Ying-Jiun J. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 50
2 129
3 48
4 5
5 107
6 128
7 1
8 52
9 101
10 399
11 26

About Ying-Jiun J. Chen

Ying-Jiun J. Chen is a scholar working on Developmental Neuroscience, Neurology and Immunology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Developmental Neuroscience (185 citations), Cellular and Molecular Neuroscience (269 citations) and Aging (21 citations). Ying-Jiun J. Chen has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Zora Modrušan, John L.R. Rubenstein, Daniel Vogt, Arnold R. Kriegstein, Cory R. Nicholas, Yoshiki Sasai, Arturo Álvarez-Buylla, Derek G. Southwell, Christine Arnold and Andrew G. Elefanty. Their work appears in journals such as PLoS ONE, Scientific Reports and Cell stem cell.

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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