Ying Chang

45 total papers · 842 total citations
30 papers, 604 citations indexed

About

Ying Chang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology. According to data from OpenAlex, Ying Chang has authored 30 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Obstetrics and Gynecology. Recurrent topics in Ying Chang's work include Hormonal Regulation and Hypertension (11 papers), Sexual Differentiation and Disorders (10 papers) and Hormonal and reproductive studies (10 papers). Ying Chang is often cited by papers focused on Hormonal Regulation and Hypertension (11 papers), Sexual Differentiation and Disorders (10 papers) and Hormonal and reproductive studies (10 papers). Ying Chang collaborates with scholars based in United States, China and United Kingdom. Ying Chang's co-authors include Songya Pang, J. Ian Mason, Xuan Yang, Michael S. Kappy, Kenneth C. Copeland, Barry H. Rich, Raphael David, Hongyan Cui, Mariano Castro-Magaña and Gilda H. Loew and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Medicine & Science in Sports & Exercise.

In The Last Decade

Ying Chang

28 papers receiving 584 citations

Author Peers

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

Author						Papers	Cites
Ying Chang	342	342	126	83	64	30	604
Ricardo Chirino	181 0.5×	203 0.6×	55 0.4×	210 2.5×	41 0.6×	37	585
S. Sufi	146 0.4×	132 0.4×	110 0.9×	195 2.3×	63 1.0×	20	620
O Crépy	262 0.8×	378 1.1×	158 1.3×	126 1.5×	55 0.9×	30	683
R. Bruce Wilcox	182 0.5×	421 1.2×	37 0.3×	61 0.7×	23 0.4×	28	644
Yao Xiao	254 0.7×	82 0.2×	116 0.9×	50 0.6×	88 1.4×	38	643
C. H. L. Shackleton	148 0.4×	351 1.0×	101 0.8×	42 0.5×	52 0.8×	14	584
Tianwei Gu	252 0.7×	168 0.5×	69 0.5×	68 0.8×	55 0.9×	37	620
Ana I. Sotelo	245 0.7×	360 1.1×	26 0.2×	95 1.1×	17 0.3×	38	646
Ruibao Chen	310 0.9×	52 0.2×	83 0.7×	36 0.4×	68 1.1×	32	608
Donna Haynes‐Johnson	214 0.6×	105 0.3×	55 0.4×	94 1.1×	26 0.4×	25	532

Countries citing papers authored by Ying Chang

Since Specialization

Citations

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

Fields of papers citing papers by Ying Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Chang

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