Bai‐Hsiun Chen

151 total papers · 2.8k total citations
105 papers, 2.2k citations indexed

About

Bai‐Hsiun Chen is a scholar working on Health, Toxicology and Mutagenesis, Surgery and Molecular Biology. According to data from OpenAlex, Bai‐Hsiun Chen has authored 105 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Health, Toxicology and Mutagenesis, 17 papers in Surgery and 14 papers in Molecular Biology. Recurrent topics in Bai‐Hsiun Chen's work include Effects and risks of endocrine disrupting chemicals (14 papers), Forensic Toxicology and Drug Analysis (10 papers) and Melamine detection and toxicity (9 papers). Bai‐Hsiun Chen is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (14 papers), Forensic Toxicology and Drug Analysis (10 papers) and Melamine detection and toxicity (9 papers). Bai‐Hsiun Chen collaborates with scholars based in Taiwan, United States and China. Bai‐Hsiun Chen's co-authors include Ming‐Tsang Wu, Chia‐Fang Wu, Jentaie Shiea, Yeou‐Lih Huang, Hei‐Hwa Lee, Ching‐Chiang Lin, Shu‐Li Wang, Chia‐Chu Liu, Mei‐Chyn Chao and Po‐Chin Huang and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Bai‐Hsiun Chen

98 papers receiving 2.2k citations

Author Peers

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

Author						Papers	Cites
Bai‐Hsiun Chen	937	413	398	192	183	105	2.2k
Sun Dong Yoo	555 0.6×	711 1.7×	123 0.3×	173 0.9×	218 1.2×	123	2.6k
Athanasios Alegakis	700 0.7×	368 0.9×	251 0.6×	106 0.6×	35 0.2×	138	3.0k
Radmila Pavlović	215 0.2×	609 1.5×	283 0.7×	109 0.6×	94 0.5×	118	2.3k
Rafael Linden	279 0.3×	362 0.9×	84 0.2×	189 1.0×	144 0.8×	147	2.1k
Chiara Costa	572 0.6×	745 1.8×	295 0.7×	101 0.5×	76 0.4×	82	2.9k
Jun Ueyama	609 0.6×	668 1.6×	339 0.9×	53 0.3×	46 0.3×	122	2.9k
Sohrab Kazemi	641 0.7×	346 0.8×	163 0.4×	118 0.6×	45 0.2×	121	2.5k
José A. Pascual	360 0.4×	412 1.0×	55 0.1×	100 0.5×	287 1.6×	82	2.5k
Cobus Gerber	289 0.3×	1.1k 2.5×	174 0.4×	239 1.2×	118 0.6×	95	2.9k
Gabrielle Hawksworth	449 0.5×	705 1.7×	151 0.4×	26 0.1×	47 0.3×	88	2.7k

Countries citing papers authored by Bai‐Hsiun Chen

Since Specialization

Citations

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

Fields of papers citing papers by Bai‐Hsiun Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bai‐Hsiun Chen. 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 Bai‐Hsiun Chen. The network helps show where Bai‐Hsiun Chen may publish in the future.

Co-authorship network of co-authors of Bai‐Hsiun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Bai‐Hsiun Chen. A scholar is included among the top collaborators of Bai‐Hsiun Chen 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 Bai‐Hsiun Chen. Bai‐Hsiun Chen 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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