Shih‐Yu Chang

433 total citations
9 papers, 345 citations indexed

About

Shih‐Yu Chang is a scholar working on Nephrology, Pharmacology and Molecular Biology. According to data from OpenAlex, Shih‐Yu Chang has authored 9 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nephrology, 3 papers in Pharmacology and 2 papers in Molecular Biology. Recurrent topics in Shih‐Yu Chang's work include Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Atmospheric chemistry and aerosols (2 papers) and 3D Printing in Biomedical Research (2 papers). Shih‐Yu Chang is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Atmospheric chemistry and aerosols (2 papers) and 3D Printing in Biomedical Research (2 papers). Shih‐Yu Chang collaborates with scholars based in United States, Taiwan and South Korea. Shih‐Yu Chang's co-authors include Edward J. Kelly, David L. Eaton, Catherine K. Yeung, Jonathan Himmelfarb, Alenka Chapron, Elijah J. Weber, Thomas Neumann, Danny D. Shen, Thomas A. Rosenquist and Arthur P. Grollman and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Shih‐Yu Chang

9 papers receiving 340 citations

Peers

Shih‐Yu Chang

BE

MB

AS

PHARM

GPC

K. Noguchi Japan

Thomas Sheffield United States

Matthew R. McCurdy United States

Sören Johansson Germany

Marci G. Smeltz United States

Min Sung Lee South Korea

Robin McDougall Canada

William L. Roth United States

Injoon Yeo South Korea

W. Michael Foster United States

K. Noguchi Japan

Shih‐Yu Chang

13 ×0.1

BE

52 ×0.6

MB

36 ×0.5

AS

66 ×1.1

PHARM

28 ×0.5

GPC

Citations per year, relative to Shih‐Yu Chang Shih‐Yu Chang (= 1×) peers K. Noguchi

Countries citing papers authored by Shih‐Yu Chang

Since Specialization

Citations

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

Fields of papers citing papers by Shih‐Yu Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Yu Chang. 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 Shih‐Yu Chang. The network helps show where Shih‐Yu Chang may publish in the future.

Co-authorship network of co-authors of Shih‐Yu Chang

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Chang, Shih‐Yu, Weize Huang, Alenka Chapron, et al.. (2023). Incorporating Uremic Solute-mediated Inhibition of OAT1/3 Improves PBPK Prediction of Tenofovir Renal and Systemic Disposition in Patients with Severe Kidney Disease. Pharmaceutical Research. 40(11). 2597–2606. 6 indexed citations

2.

Imaoka, Tomoki, Weize Huang, Sara Shum, et al.. (2021). Bridging the gap between in silico and in vivo by modeling opioid disposition in a kidney proximal tubule microphysiological system. Scientific Reports. 11(1). 21356–21356. 21 indexed citations

3.

Chapron, Alenka, Brian D. Chapron, Dale W. Hailey, et al.. (2020). An Improved Vascularized, Dual-Channel Microphysiological System Facilitates Modeling of Proximal Tubular Solute Secretion. ACS Pharmacology & Translational Science. 3(3). 496–508. 23 indexed citations

4.

Chang, Shih‐Yu, Elijah J. Weber, Viktoriya S. Sidorenko, et al.. (2017). Human liver-kidney model elucidates the mechanisms of aristolochic acid nephrotoxicity. JCI Insight. 2(22). 138 indexed citations

5.

Chang, Shih‐Yu, Jenna L. Voellinger, Kirk P. Van Ness, et al.. (2017). Characterization of rat or human hepatocytes cultured in microphysiological systems (MPS) to identify hepatotoxicity. Toxicology in Vitro. 40. 170–183. 31 indexed citations

6.

Ness, Kirk P. Van, et al.. (2017). Microphysiological Systems to Assess Nonclinical Toxicity. Current Protocols in Toxicology. 73(1). 14.18.1–14.18.28. 20 indexed citations

7.

Peng, Cheng‐Yuan, Wen‐Ling Liao, Dong‐Zong Hung, et al.. (2013). Genetic variation in NOS2A is associated with a sustained virological response to peginterferon plus ribavirin therapy for chronic hepatitis C in Taiwanese Chinese. Journal of Medical Virology. 85(7). 1206–1214. 2 indexed citations

8.

Liu, Xingang, Yuanhang Zhang, Jinsang Jung, et al.. (2009). Research on the hygroscopic properties of aerosols by measurement and modeling during CAREBeijing‐2006. Journal of Geophysical Research Atmospheres. 114(D2). 89 indexed citations

9.

Chou, Charles C.‐K., et al.. (2005). Specific absorption cross‐section and elemental carbon content of urban aerosols. Geophysical Research Letters. 32(21). 15 indexed citations

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.

Explore authors with similar magnitude of impact