Chun Lin Wang

40 total papers · 460 total citations
27 papers, 363 citations indexed

About

Chun Lin Wang is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Chun Lin Wang has authored 27 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Chun Lin Wang's work include Sexual Differentiation and Disorders (3 papers), Birth, Development, and Health (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Chun Lin Wang is often cited by papers focused on Sexual Differentiation and Disorders (3 papers), Birth, Development, and Health (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Chun Lin Wang collaborates with scholars based in China, Taiwan and Mongolia. Chun Lin Wang's co-authors include Hao Zhou, Ligang Zheng, Ke Fa Cen, Li Liang, Zheng Zhao, Chaochun Zou, Qi Wang, Yong Cui, Wei Zhao and Guohan Hu and has published in prestigious journals such as BMC Genomics, Genomics and Clinical Endocrinology.

In The Last Decade

Chun Lin Wang

24 papers receiving 356 citations

Author Peers

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

Author						Papers	Cites
Chun Lin Wang	92	54	51	38	38	27	363
Lei Chen	52 0.6×	20 0.4×	23 0.5×	27 0.7×	59 1.6×	32	326
Zixin Zhang	37 0.4×	23 0.4×	23 0.5×	20 0.5×	14 0.4×	31	386
Zhenping Chen	54 0.6×	58 1.1×	31 0.6×	18 0.5×	8 0.2×	56	360
Rui Tao	43 0.5×	26 0.5×	110 2.2×	6 0.2×	26 0.7×	18	382
Yi Xiong	78 0.8×	35 0.6×	7 0.1×	3 0.1×	16 0.4×	24	396
Yinuo Wang	48 0.5×	14 0.3×	19 0.4×	9 0.2×	21 0.6×	23	312
Suchitra Kumari	66 0.7×	7 0.1×	10 0.2×	5 0.1×	30 0.8×	35	370
Yunlong Wang	44 0.5×	11 0.2×	24 0.5×	9 0.2×	21 0.6×	38	301
Weihua Zhang	86 0.9×	14 0.3×	17 0.3×	22 0.6×	36 0.9×	41	340
Alexandra Moraru	83 0.9×	5 0.1×	51 1.0×	4 0.1×	50 1.3×	25	361

Countries citing papers authored by Chun Lin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Chun Lin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun Lin Wang. 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 Chun Lin Wang. The network helps show where Chun Lin Wang may publish in the future.

Co-authorship network of co-authors of Chun Lin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Lin Wang. A scholar is included among the top collaborators of Chun Lin Wang 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 Chun Lin Wang. Chun Lin Wang 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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