Po‐Chang Chiang

70 total papers · 1.1k total citations
56 papers, 784 citations indexed

About

Po‐Chang Chiang is a scholar working on Pharmaceutical Science, Molecular Biology and Oncology. According to data from OpenAlex, Po‐Chang Chiang has authored 56 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pharmaceutical Science, 15 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Po‐Chang Chiang's work include Drug Solubulity and Delivery Systems (24 papers), Pharmacogenetics and Drug Metabolism (12 papers) and Drug Transport and Resistance Mechanisms (10 papers). Po‐Chang Chiang is often cited by papers focused on Drug Solubulity and Delivery Systems (24 papers), Pharmacogenetics and Drug Metabolism (12 papers) and Drug Transport and Resistance Mechanisms (10 papers). Po‐Chang Chiang collaborates with scholars based in United States, France and Taiwan. Po‐Chang Chiang's co-authors include Yiding Hu, Harvey Wong, Sarbani Ghosh, Yingqing Ran, Archie Thurston, Jerry Z. Yang, Karthik Nagapudi, Yurong Lai, Kang-Jye Chou and David Tung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Pharmacology and Experimental Therapeutics and International Journal of Pharmaceutics.

In The Last Decade

Po‐Chang Chiang

54 papers receiving 738 citations

Author Peers

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

Author						Papers	Cites
Po‐Chang Chiang	338	144	115	115	111	56	784
Kwan Hyung Cho	371 1.1×	167 1.2×	94 0.8×	47 0.4×	60 0.5×	63	815
Naveen Chella	410 1.2×	213 1.5×	152 1.3×	39 0.3×	61 0.5×	37	826
John Disouza	218 0.6×	254 1.8×	67 0.6×	78 0.7×	64 0.6×	81	869
Sivacharan Kollipara	302 0.9×	200 1.4×	122 1.1×	28 0.2×	67 0.6×	45	633
Ann-Christin Jacobsen	270 0.8×	242 1.7×	85 0.7×	306 2.7×	107 1.0×	25	909
Kazuyoshi Masuda	350 1.0×	120 0.8×	43 0.4×	85 0.7×	101 0.9×	42	803
Ravinder Verma	204 0.6×	200 1.4×	128 1.1×	83 0.7×	61 0.5×	60	810
Atsuo Miyagishima	284 0.8×	280 1.9×	113 1.0×	36 0.3×	59 0.5×	36	776
Eleftheria Tsakalozou	262 0.8×	211 1.5×	59 0.5×	24 0.2×	168 1.5×	47	759
Jingjun Huang	139 0.4×	207 1.4×	83 0.7×	108 0.9×	147 1.3×	36	903

Countries citing papers authored by Po‐Chang Chiang

Since Specialization

Citations

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

Fields of papers citing papers by Po‐Chang Chiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Po‐Chang Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Po‐Chang Chiang. A scholar is included among the top collaborators of Po‐Chang Chiang 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 Po‐Chang Chiang. Po‐Chang Chiang 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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