Peiying Huang

79 total papers · 834 total citations
48 papers, 598 citations indexed

About

Peiying Huang is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Peiying Huang has authored 48 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Epidemiology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Peiying Huang's work include Nanoplatforms for cancer theranostics (5 papers), Gestational Diabetes Research and Management (5 papers) and Birth, Development, and Health (4 papers). Peiying Huang is often cited by papers focused on Nanoplatforms for cancer theranostics (5 papers), Gestational Diabetes Research and Management (5 papers) and Birth, Development, and Health (4 papers). Peiying Huang collaborates with scholars based in China, Taiwan and United States. Peiying Huang's co-authors include Saikat Dutta, Chu‐Chieh Lin, Mingzhu Lin, Xuejun Li, Xiulin Shi, Shuyu Yang, Li‐Han Liu, M Kellis, Zhibin Li and Changqin Liu and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Peiying Huang

45 papers receiving 589 citations

Author Peers

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

Author						Papers	Cites
Peiying Huang	174	148	128	113	101	48	598
Linlin Xu	56 0.3×	5 0.0×	194 1.5×	41 0.4×	75 0.7×	44	665
Feng‐Jie Lai	46 0.3×	30 0.2×	192 1.5×	27 0.2×	12 0.1×	46	605
Cong Li	12 0.1×	34 0.2×	178 1.4×	65 0.6×	18 0.2×	49	685
Zhida Wang	17 0.1×	36 0.2×	100 0.8×	49 0.4×	40 0.4×	31	550
Aurélia Líšková	76 0.4×	9 0.1×	120 0.9×	11 0.1×	96 1.0×	36	643
Lihua Zeng	69 0.4×	5 0.0×	154 1.2×	72 0.6×	43 0.4×	46	678
Xinxin Xie	25 0.1×	15 0.1×	187 1.5×	65 0.6×	92 0.9×	49	604
Fei You	61 0.4×	5 0.0×	327 2.6×	161 1.4×	40 0.4×	30	655
Jian Guo	30 0.2×	60 0.4×	208 1.6×	13 0.1×	35 0.3×	25	534
Yan Chen	25 0.1×	4 0.0×	216 1.7×	121 1.1×	25 0.2×	31	634

Countries citing papers authored by Peiying Huang

Since Specialization

Citations

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

Fields of papers citing papers by Peiying Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiying Huang

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