Hsiu‐Chen Teng

16 total papers · 607 total citations
10 papers, 467 citations indexed

About

Hsiu‐Chen Teng is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hsiu‐Chen Teng has authored 10 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pediatrics, Perinatology and Child Health, 4 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hsiu‐Chen Teng's work include Neonatal Health and Biochemistry (5 papers), Liver Disease Diagnosis and Treatment (2 papers) and Methemoglobinemia and Tumor Lysis Syndrome (2 papers). Hsiu‐Chen Teng is often cited by papers focused on Neonatal Health and Biochemistry (5 papers), Liver Disease Diagnosis and Treatment (2 papers) and Methemoglobinemia and Tumor Lysis Syndrome (2 papers). Hsiu‐Chen Teng collaborates with scholars based in Taiwan and United States. Hsiu‐Chen Teng's co-authors include Ching‐Shan Huang, Kung-Sheng Tang, May–Jen Huang, Hui-Wen Weng, Chen‐Guo Ker, Jaime Ortiz, Wen‐Hai Chih, Sien‐Sing Yang, Chi‐Cheng Tsai and Yong‐Yuan Chang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, The American Journal of Gastroenterology and Journal of Periodontology.

In The Last Decade

Hsiu‐Chen Teng

10 papers receiving 451 citations

Author Peers

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

Author						Papers	Cites
Hsiu‐Chen Teng	233	128	126	80	77	10	467
Leslie M. Taylor	140 0.6×	82 0.6×	71 0.6×	98 1.2×	19 0.2×	16	464
Malin Lindqvist	80 0.3×	28 0.2×	100 0.8×	182 2.3×	24 0.3×	9	425
Ronald J. Whitley	27 0.1×	30 0.2×	182 1.4×	22 0.3×	13 0.2×	13	483
Ari Winasti Satyagraha	347 1.5×	147 1.1×	55 0.4×	172 2.1×	224 2.9×	20	545
Marie C. Earley	43 0.2×	95 0.7×	195 1.5×	45 0.6×	41 0.5×	14	475
Walter H. Jacobs	69 0.3×	42 0.3×	51 0.4×	38 0.5×	12 0.2×	11	411
Yaling Feng	105 0.5×	73 0.6×	176 1.4×	38 0.5×	15 0.2×	19	486
Francesca Baiwog	90 0.4×	18 0.1×	69 0.5×	171 2.1×	12 0.2×	11	448
Daniela Sporrer	43 0.2×	67 0.5×	255 2.0×	10 0.1×	9 0.1×	8	466
M Rainaut	125 0.5×	52 0.4×	25 0.2×	34 0.4×	66 0.9×	16	410

Countries citing papers authored by Hsiu‐Chen Teng

Since Specialization

Citations

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

Fields of papers citing papers by Hsiu‐Chen Teng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsiu‐Chen Teng

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