Catherine Yin

1.7k citations
19 papers · 1.4k indexed · h-index 13
Topics
Immune Cell Function and Interaction (11 papers)T-cell and B-cell Immunology (10 papers)Immunotherapy and Immune Responses (5 papers)

In The Last Decade

Catherine Yin

18 papers receiving 1.4k citations

Peers

Catherine Yin
Comparison fields: 5 of 73
  • Immunology 968
  • Molecular Biology 348
  • Surgery 233
  • Oncology 210
  • Genetics 132
Replace Satoshi Kojo with:
Satoshi Kojo Japan
Marynette Rihanek United States
María Ángeles García-López Spain
Caroline Waltzinger France
Ryo Hatano Japan
Kresten Skak Denmark
Deborah D. Glass United States
Emma M. Carrington Australia
Elisabeth H. Vollmann United States
Diego G. Silva Australia
Catherine Yin relative to Satoshi Kojo Japan Satoshi Kojo's profile →
Citations per field
00.5×1.5×
Satoshi Kojo · 1×
Citations per year

Countries citing papers authored by Catherine Yin

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Yin

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 26
2 1
3 1
4 18
5 81
6 18
7 137
8 23
9
Intrathymic programming of effector fates in three molecularly distinct {gamma}{delta} T cell subtypes
5
10 7
11 167
12 141
13 0
14 104
15 64
16 230
17 186
18 156
19 7

About Catherine Yin

Catherine Yin is a scholar working on Immunology, Biotechnology and Molecular Medicine, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Immunology (968 citations), Oncology (210 citations) and Dermatology (61 citations). Catherine Yin has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Leslie J. Berg, Martin Felices, Joonsoo Kang, Steven L. Reiner, Yibin Yang, Christopher M. Sassetti, Derek W. Abbott, Amit Kumar Pandey, Michelle A. Kelliher and Kavitha Narayan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

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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