Chien-Ping Liang

14 total papers · 1.6k total citations
13 papers, 1.4k citations indexed

About

Chien-Ping Liang is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Chien-Ping Liang has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Chien-Ping Liang's work include Peroxisome Proliferator-Activated Receptors (7 papers), Metabolism, Diabetes, and Cancer (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Chien-Ping Liang is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (7 papers), Metabolism, Diabetes, and Cancer (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Chien-Ping Liang collaborates with scholars based in United States, Germany and South Korea. Chien-Ping Liang's co-authors include Alan R. Tall, Seongah Han, Ira Tabas, Domenico Accili, Yi Luo, Carrie L. Welch, Takafumi Senokuchi, Ronald Carnemolla, Haruka Okamoto and Mollie Ranalletta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Chien-Ping Liang

13 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Chien-Ping Liang 645 436 435 289 264 13 1.4k
Banumathi K. Cole 577 0.9× 272 0.6× 518 1.2× 160 0.6× 282 1.1× 26 1.7k
William Lagakos 482 0.7× 257 0.6× 304 0.7× 187 0.6× 285 1.1× 19 1.1k
Jane Honeyman 756 1.2× 370 0.8× 455 1.0× 166 0.6× 450 1.7× 14 1.3k
Jennifer Pattison 787 1.2× 642 1.5× 288 0.7× 575 2.0× 245 0.9× 18 1.8k
Zouher Majd 863 1.3× 354 0.8× 295 0.7× 192 0.7× 232 0.9× 24 1.5k
Tjeerd Sijmonsma 537 0.8× 204 0.5× 385 0.9× 204 0.7× 464 1.8× 27 1.4k
Joshua E. Basford 477 0.7× 260 0.6× 340 0.8× 173 0.6× 311 1.2× 22 1.2k
Marie Sanson 629 1.0× 426 1.0× 387 0.9× 692 2.4× 136 0.5× 12 1.7k
Sarah Hummasti 564 0.9× 576 1.3× 313 0.7× 98 0.3× 309 1.2× 8 1.3k
Xian-Cheng Jiang 836 1.3× 497 1.1× 228 0.5× 138 0.5× 373 1.4× 22 1.6k

Countries citing papers authored by Chien-Ping Liang

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Ping Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien-Ping Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Ping Liang. A scholar is included among the top collaborators of Chien-Ping Liang 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-Ping Liang. Chien-Ping Liang 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