Chi-Ping Day

16 total papers · 2.2k total citations
6 papers, 575 citations indexed

About

Chi-Ping Day is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Chi-Ping Day has authored 6 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Immunology. Recurrent topics in Chi-Ping Day's work include melanin and skin pigmentation (1 paper), Cancer-related gene regulation (1 paper) and Cancer-related Molecular Pathways (1 paper). Chi-Ping Day is often cited by papers focused on melanin and skin pigmentation (1 paper), Cancer-related gene regulation (1 paper) and Cancer-related Molecular Pathways (1 paper). Chi-Ping Day collaborates with scholars based in United States, United Kingdom and Taiwan. Chi-Ping Day's co-authors include Glenn Merlino, Terry Van Dyke, Mien‐Chie Hung, Yan M. Li, Ka Yin Kwong, Shao‐Chun Wang, Yiyu Zou, Keishi Makino, Wen-Bin Tsai and Guillermina Lozano and has published in prestigious journals such as Cell, Nature Communications and Cancer Research.

In The Last Decade

Chi-Ping Day

6 papers receiving 562 citations

Hit Papers

Preclinical Mouse Cancer ... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chi-Ping Day 249 240 134 110 87 6 575
Shannon Decker 327 1.3× 243 1.0× 103 0.8× 155 1.4× 50 0.6× 3 659
Sharon A. Vantyghem 376 1.5× 294 1.2× 76 0.6× 193 1.8× 49 0.6× 10 687
Reeti Behera 175 0.7× 226 0.9× 87 0.6× 96 0.9× 61 0.7× 10 567
Ori Maller 311 1.2× 186 0.8× 112 0.8× 128 1.2× 121 1.4× 12 643
S-H Chang 148 0.6× 316 1.3× 143 1.1× 144 1.3× 55 0.6× 8 637
Salo Ooft 384 1.5× 199 0.8× 194 1.4× 183 1.7× 39 0.4× 5 599
Nicolas Gengenbacher 191 0.8× 304 1.3× 73 0.5× 151 1.4× 99 1.1× 10 624
Coyin Oh 315 1.3× 207 0.9× 142 1.1× 211 1.9× 39 0.4× 8 632
Matthias Gutekunst 309 1.2× 274 1.1× 216 1.6× 97 0.9× 45 0.5× 11 635
Saori Tomita 138 0.6× 209 0.9× 176 1.3× 122 1.1× 108 1.2× 12 550

Countries citing papers authored by Chi-Ping Day

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Ping Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Ping Day. 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 Chi-Ping Day. The network helps show where Chi-Ping Day may publish in the future.

Co-authorship network of co-authors of Chi-Ping Day

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

All Works

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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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