Chia-Hao Lin

579 total citations
9 papers, 350 citations indexed

About

Chia-Hao Lin is a scholar working on Molecular Biology, Social Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chia-Hao Lin has authored 9 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Social Psychology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chia-Hao Lin's work include Ion Transport and Channel Regulation (3 papers), Neuroendocrine regulation and behavior (2 papers) and Sodium Intake and Health (1 paper). Chia-Hao Lin is often cited by papers focused on Ion Transport and Channel Regulation (3 papers), Neuroendocrine regulation and behavior (2 papers) and Sodium Intake and Health (1 paper). Chia-Hao Lin collaborates with scholars based in Taiwan, Japan and United States. Chia-Hao Lin's co-authors include Hiraki Sakuta, Masaharu Noda, Takeshi Y. Hiyama, Mao-Wang Ho, Cheng‐Lung Ku, Kenta Kobayashi, Chang-Phone Fung, Takashi Matsuda, C.C. Chu and Jen-Hsien Wang and has published in prestigious journals such as Neuron, Blood and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

Chia-Hao Lin

9 papers receiving 348 citations

Peers

Chia-Hao Lin
Comparison fields: 5 of 76
  • Epidemiology 131
  • Immunology 106
  • Infectious Diseases 86
  • Molecular Biology 49
  • Ecology 36
Replace Nicholas C. Vamvakopoulos with:
Nicholas C. Vamvakopoulos Greece
Marty Bigos United States
Daniel Magee United States
Laura Escobar Spain
Jiamin Yan China
Makoto Uchino Japan
Leonardo D. Estrada United States
Kakon Nag Japan
Priya Sakthivel Sweden
Azuwerus van Buiten Netherlands
Nicholas C. Vamvakopoulos Greece View profile →
Citations per field, relative to Chia-Hao Lin
Chia-Hao Lin · 1×
Citations per year, relative to Chia-Hao Lin
Chia-Hao Lin · 1×

Countries citing papers authored by Chia-Hao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Hao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Hao Lin. 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 Chia-Hao Lin. The network helps show where Chia-Hao Lin may publish in the future.

Co-authorship network of co-authors of Chia-Hao Lin

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 16
2 81
3 15
4 19
5 18
6 47
7 20
8 1
9 133

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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