Danica Chiu

12 total papers · 647 total citations
4 papers, 216 citations indexed

About

Danica Chiu is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Danica Chiu has authored 4 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Physiology. Recurrent topics in Danica Chiu's work include Alzheimer's disease research and treatments (2 papers), Epigenetics and DNA Methylation (2 papers) and Autophagy in Disease and Therapy (1 paper). Danica Chiu is often cited by papers focused on Alzheimer's disease research and treatments (2 papers), Epigenetics and DNA Methylation (2 papers) and Autophagy in Disease and Therapy (1 paper). Danica Chiu collaborates with scholars based in United States. Danica Chiu's co-authors include Yue‐Ming Li, David A. Scheinberg, Elisa de Stanchina, Cheng‐Jun Hu, Carlos H. Villa, Alissa Brandes, Sangram S. Sisodia, William F. Maguire, Freddy E. Escorcia and Olulanu H. Aina and has published in prestigious journals such as Molecular Psychiatry, Cell Reports and Cancer Immunology Research.

In The Last Decade

Danica Chiu

4 papers receiving 215 citations

Author Peers

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

Author Last Decade Papers Cites
Danica Chiu 117 76 57 44 29 4 216
N.–T. Tsai 160 1.4× 33 0.4× 49 0.9× 56 1.3× 37 1.3× 6 288
Teodora Trendafilova 110 0.9× 64 0.8× 59 1.0× 40 0.9× 24 0.8× 5 273
Evgeny Makarev 207 1.8× 53 0.7× 57 1.0× 21 0.5× 12 0.4× 10 321
John Wizeman 134 1.1× 58 0.8× 25 0.4× 15 0.3× 48 1.7× 8 319
Robert Neely 149 1.3× 125 1.6× 24 0.4× 41 0.9× 41 1.4× 10 297
Itay Nakdimon 221 1.9× 62 0.8× 51 0.9× 19 0.4× 10 0.3× 9 304
Jun‐Sub Kim 158 1.4× 68 0.9× 38 0.7× 28 0.6× 21 0.7× 7 312
David Reiman 157 1.3× 23 0.3× 37 0.6× 59 1.3× 15 0.5× 6 320
Charline Ogier 67 0.6× 48 0.6× 29 0.5× 86 2.0× 15 0.5× 7 214
Felix Winter 146 1.2× 81 1.1× 59 1.0× 87 2.0× 29 1.0× 5 296

Countries citing papers authored by Danica Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Danica Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danica Chiu

This figure shows the co-authorship network connecting the top 25 collaborators of Danica Chiu. A scholar is included among the top collaborators of Danica Chiu 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 Danica Chiu. Danica Chiu 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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2026