Pen-Hua Su

10 total papers · 673 total citations
9 papers, 569 citations indexed

About

Pen-Hua Su is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Nephrology. According to data from OpenAlex, Pen-Hua Su has authored 9 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 1 paper in Molecular Biology and 1 paper in Nephrology. Recurrent topics in Pen-Hua Su's work include Effects and risks of endocrine disrupting chemicals (4 papers), Toxic Organic Pollutants Impact (2 papers) and Chemical Analysis and Environmental Impact (2 papers). Pen-Hua Su is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (4 papers), Toxic Organic Pollutants Impact (2 papers) and Chemical Analysis and Environmental Impact (2 papers). Pen-Hua Su collaborates with scholars based in Taiwan, United States and United Kingdom. Pen-Hua Su's co-authors include Shu‐Li Wang, Po‐Chin Huang, Pao‐Chi Liao, Hsin‐Yi Chen, Han-Bin Huang, Yin‐Ju Lien, Wei J. Chen, Yu-Chen Chang, Walter J. Rogan and Yan Wang and has published in prestigious journals such as PLoS ONE, Environmental Health Perspectives and Chemosphere.

In The Last Decade

Pen-Hua Su

9 papers receiving 563 citations

Author Peers

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

Author						Papers	Cites
Pen-Hua Su	450	103	89	60	38	9	569
Eva M. Tanner	385 0.9×	90 0.9×	109 1.2×	55 0.9×	31 0.8×	11	521
Stefanie A. Busgang	393 0.9×	104 1.0×	74 0.8×	91 1.5×	39 1.0×	25	676
Steve Leonard	217 0.5×	40 0.4×	137 1.5×	40 0.7×	66 1.7×	8	566
Rebecca Nachman	492 1.1×	86 0.8×	25 0.3×	148 2.5×	19 0.5×	15	583
Lori Merrill	249 0.6×	114 1.1×	41 0.5×	28 0.5×	71 1.9×	18	521
Lisethe Meijer	420 0.9×	101 1.0×	68 0.8×	27 0.5×	44 1.2×	23	665
Kylie D. Rock	313 0.7×	85 0.8×	126 1.4×	34 0.6×	127 3.3×	21	630
Yuanduo Zhu	348 0.8×	148 1.4×	34 0.4×	62 1.0×	35 0.9×	23	634
Susan MacPherson	523 1.2×	89 0.9×	84 0.9×	123 2.0×	53 1.4×	15	674
Hong Chang	258 0.6×	33 0.3×	49 0.6×	102 1.7×	62 1.6×	18	533

Countries citing papers authored by Pen-Hua Su

Since Specialization

Citations

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

Fields of papers citing papers by Pen-Hua Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pen-Hua Su. 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 Pen-Hua Su. The network helps show where Pen-Hua Su may publish in the future.

Co-authorship network of co-authors of Pen-Hua Su

This figure shows the co-authorship network connecting the top 25 collaborators of Pen-Hua Su. A scholar is included among the top collaborators of Pen-Hua Su 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 Pen-Hua Su. Pen-Hua Su 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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