Priscilla Chan

858 citations
16 papers · 564 · h-index 12

Impact in

Papers in

Priscilla Chan

15 papers receiving 561 citations

Peers

Priscilla Chan
Comparison fields: 5 of 73
  • Aging 27
  • Endocrine and Autonomic Systems 100
  • Cell Biology 114
  • Cellular and Molecular Neuroscience 112
  • Cardiology and Cardiovascular Medicine 112
Replace Lanlan Li with:
Lanlan Li China
Krzysztof Mazuruk United States
Lavoisier Ramos‐Espiritu United States
Pamela Pulimeno Switzerland
Erica M. TenBroek United States
Elaine G. Goldstein United States
Hans‐Jürgen Fülle United States
Carles Roca Spain
Tatiana K. Zagranichnaya United States
Gregory J. Krause United States
Priscilla Chan relative to Lanlan Li China Lanlan Li's profile →
Citations per field
00.5×2.6×
Lanlan Li · 1×
Citations per year

Countries citing papers authored by Priscilla Chan

Since Specialization
Citations

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

Fields of papers citing papers by Priscilla Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Priscilla Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Priscilla Chan Line = papers co-authored together Priscilla Chan links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2017132
2 202167
3 200967
4 201646
5 201644
6 201843
7 201429
8 202328
9 202228
10 201226
11 202123
12 202123
13 20256
14 20181
15 20241
16 20260

About Priscilla Chan

Priscilla Chan is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Cell Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 564 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Ion channel regulation and function (3 papers), Retinal Development and Disorders (3 papers), RNA regulation and disease (2 papers), Light effects on plants (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Aging (27 citations), Endocrine and Autonomic Systems (100 citations), Cell Biology (114 citations), Cellular and Molecular Neuroscience (112 citations) and Cardiology and Cardiovascular Medicine (112 citations). Priscilla Chan has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Jonathan H. Lin, Steve A. Kay, Wei‐Chieh Chiang, Susanne Kohl, Robert S. Kass, Steven O. Marx, Arthur Karlin, Jeremy N. Rich, John R. Bankston and Ao Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuro-Oncology, Oncogene, Scientific Reports and Human Molecular Genetics.

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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