Chi-Ping Day

2.3k total citations · 1 hit paper
6 papers, 582 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 582 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 RNA modifications and cancer (1 paper), Cancer Research and Treatments (1 paper) and CAR-T cell therapy research (1 paper). Chi-Ping Day is often cited by papers focused on RNA modifications and cancer (1 paper), Cancer Research and Treatments (1 paper) and CAR-T cell therapy research (1 paper). Chi-Ping Day collaborates with scholars based in United States, Taiwan and United Kingdom. Chi-Ping Day's co-authors include Glenn Merlino, Terry Van Dyke, Mien‐Chie Hung, Ka Yin Kwong, Shao‐Chun Wang, Yan M. Li, Yiyu Zou, Keishi Makino, Guillermina Lozano and Hsiu-Ming Shih and has published in prestigious journals such as Cell, Nature Communications and Cancer Research.

In The Last Decade

Chi-Ping Day

6 papers receiving 570 citations

Hit Papers

Preclinical Mouse Cancer Models: A Maze of Opportunities ... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Chi-Ping Day
Comparison fields: 5 of 77
  • Oncology 253
  • Molecular Biology 243
  • Biomedical Engineering 135
  • Cancer Research 110
  • Immunology 88
Replace Stefan Eser with:
Stefan Eser Germany
Valérie Rouffiac France
Ori Maller United States
Reeti Behera United States
Neal Goodwin United States
Saori Tomita Japan
Oded Kopper Israel
Μαρκέλλα Ζαννίκου United States
Henrik Jespersen Sweden
Joakim Karlsson Sweden
Stefan Eser Germany View profile →
Citations per field, relative to Chi-Ping Day
Chi-Ping Day · 1×
Citations per year, relative to Chi-Ping Day
Chi-Ping Day · 1×

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

6 of 6 papers shown
# Work Indexed citations
1 7
2
Preclinical Mouse Cancer Models: A Maze of Opportunities and Challenges breakdown →
453
3 25
4 38
5 29
6 30

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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