Chien-Yu Chen

664 total citations · 1 hit paper
7 papers, 475 citations indexed

About

Chien-Yu Chen is a scholar working on Molecular Biology, Surgery and Pharmacology. According to data from OpenAlex, Chien-Yu Chen has authored 7 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Surgery and 1 paper in Pharmacology. Recurrent topics in Chien-Yu Chen's work include Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Chien-Yu Chen is often cited by papers focused on Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Chien-Yu Chen collaborates with scholars based in United States and Macao. Chien-Yu Chen's co-authors include Lina He, Bangyan L. Stiles, Jingyu Chen, Ni Zeng, Chien‐Feng Li, Qi Tang, Gang Li, Xinwen Zhang, Enrique Cadenas and Yang Li and has published in prestigious journals such as Molecular and Cellular Biology, American Journal Of Pathology and Frontiers in Endocrinology.

In The Last Decade

Chien-Yu Chen

7 papers receiving 468 citations

Hit Papers

PTEN: Tumor Suppressor and Metabolic Regulator 2018 2026 2020 2023 2018 100 200 300 400

Peers

Chien-Yu Chen
Comparison fields: 5 of 76
  • Molecular Biology 314
  • Cancer Research 157
  • Oncology 86
  • Epidemiology 60
  • Pulmonary and Respiratory Medicine 40
Aristeidis E. Boukouris Canada
Zhen Cai China
Olga Surova Sweden
Marcela Sosa‐Garrocho Mexico
Lubna Qamar United States
Yaliang Lan China
Shi‐Juan Mai China
Lu-Ming Liu China
Jun Ouyang China
Aristeidis E. Boukouris Canada View profile →
Citations per field, relative to Chien-Yu Chen
Chien-Yu Chen · 1×
Citations per year, relative to Chien-Yu Chen
Chien-Yu Chen · 1×

Countries citing papers authored by Chien-Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Yu Chen. 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 Chien-Yu Chen. The network helps show where Chien-Yu Chen may publish in the future.

Co-authorship network of co-authors of Chien-Yu Chen

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 7
2 21
3 4
4 13
5
PTEN: Tumor Suppressor and Metabolic Regulator breakdown →
426
6 1
7 3

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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