Hsiu‐Ying T. Yang

21 total papers · 840 total citations
17 papers, 750 citations indexed

About

Hsiu‐Ying T. Yang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Hsiu‐Ying T. Yang has authored 17 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 6 papers in Reproductive Medicine. Recurrent topics in Hsiu‐Ying T. Yang's work include Neuropeptides and Animal Physiology (16 papers), Hypothalamic control of reproductive hormones (6 papers) and Receptor Mechanisms and Signaling (6 papers). Hsiu‐Ying T. Yang is often cited by papers focused on Neuropeptides and Animal Physiology (16 papers), Hypothalamic control of reproductive hormones (6 papers) and Receptor Mechanisms and Signaling (6 papers). Hsiu‐Ying T. Yang collaborates with scholars based in United States, Canada and Pakistan. Hsiu‐Ying T. Yang's co-authors include Michael J. Iadarola, Erminio Costa, E.A. Majane, Pertti Panula, Tao Tao, Hiroshi Higuchi, Jason M. Keller, Kemal Payza, David H. Malin and D. E. Fowler and has published in prestigious journals such as The Journal of Comparative Neurology, Brain Research and Pain.

In The Last Decade

Hsiu‐Ying T. Yang

17 papers receiving 735 citations

Author Peers

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

Author						Papers	Cites
Hsiu‐Ying T. Yang	578	339	214	158	142	17	750
Rachel M.C. Parker	535 0.9×	361 1.1×	166 0.8×	91 0.6×	261 1.8×	18	808
Jaroslav H. Boublik	513 0.9×	370 1.1×	189 0.9×	128 0.8×	144 1.0×	27	791
Williams I. Rodriguez	515 0.9×	228 0.7×	134 0.6×	82 0.5×	256 1.8×	13	801
Jean‐Claude Martel	655 1.1×	448 1.3×	61 0.3×	114 0.7×	123 0.9×	17	787
Micheline Vial	589 1.0×	464 1.4×	86 0.4×	180 1.1×	80 0.6×	26	764
Seongsik Yun	335 0.6×	216 0.6×	119 0.6×	150 0.9×	381 2.7×	18	790
M.C. Beinfeld	517 0.9×	363 1.1×	96 0.4×	63 0.4×	132 0.9×	15	777
Linda J. Cornfield	674 1.2×	537 1.6×	67 0.3×	82 0.5×	198 1.4×	15	879
Debora A. DiMaggio	591 1.0×	424 1.3×	72 0.3×	77 0.5×	122 0.9×	13	701
Elaine Brown	509 0.9×	451 1.3×	90 0.4×	80 0.5×	62 0.4×	16	897

Countries citing papers authored by Hsiu‐Ying T. Yang

Since Specialization

Citations

This map shows the geographic impact of Hsiu‐Ying T. Yang'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‐Ying T. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiu‐Ying T. Yang more than expected).

Fields of papers citing papers by Hsiu‐Ying T. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsiu‐Ying T. Yang

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