Yvette Chin

1.5k citations
18 papers · 938 · h-index 14

Impact in

    • Epigenetics and DNA Methylation
    • TGF-β signaling in diseases
    • Cancer-related gene regulation
    • Histone Deacetylase Inhibitors Research
    • Congenital heart defects research
    • Mitochondrial Function and Pathology

Papers in

    • TGF-β signaling in diseases 4
    • Epigenetics and DNA Methylation 3
    • Signaling Pathways in Disease 2
    • Genomics and Chromatin Dynamics 2
    • CRISPR and Genetic Engineering 2
    • Cancer Cells and Metastasis 3

Yvette Chin

18 papers receiving 928 citations

Peers

Yvette Chin
Comparison fields: 5 of 83
  • Molecular Biology 685
  • Cancer Research 145
  • Oncology 226
  • Physiology 161
  • Cell Biology 74
Replace Serge Lemay with:
Serge Lemay Canada
Donna P. Frazier United States
John Yang United States
Patrycja M. Dubielecka United States
Kun Guo China
Robert V. Martinez United States
Pavel Pitule Czechia
Erin Lambers United States
Christopher R. Marlein United Kingdom
Pinglin Lai China
Yvette Chin relative to Serge Lemay Canada Serge Lemay's profile →
Citations per field
00.5×3.7×
Serge Lemay · 1×
Citations per year

Countries citing papers authored by Yvette Chin

Since Specialization
Citations

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

Fields of papers citing papers by Yvette Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yvette Chin, 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 Yvette Chin Line = papers co-authored together Yvette Chin links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2013183
2 2017116
3 2017100
4 200893
5 200669
6 200256
7 201152
8 201744
9 201842
10 201737
11 201936
12 201434
13 201727
14 201524
15 202310
16 20159
17 20234
18 20152

About Yvette Chin

Yvette Chin is a scholar working on Molecular Biology, Oncology, Physiology, Cancer Research and Surgery, having authored 18 papers that have together received 938 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Adipose Tissue and Metabolism (4 papers), Cancer Cells and Metastasis (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Signaling Pathways in Disease (2 papers), Genomics and Chromatin Dynamics (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Biology (685 citations), Cancer Research (145 citations), Oncology (226 citations), Physiology (161 citations) and Cell Biology (74 citations). Yvette Chin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Robert Benezra, Svetlana Pavlović, Edi Brogi, Patrycja M. Dubielecka, Gangjian Qin, Yu Zhao, Shougang Zhuang, Hao Wang, Larry Norton and Joan Massagué. Their work appears in journals such as Cell Reports, Gene, Journal of Cellular Biochemistry, Journal of Cellular Physiology and Stem Cells and Development.

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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