Shanhong Ling

37 total papers · 1.6k total citations
29 papers, 1.3k citations indexed

About

Shanhong Ling is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Shanhong Ling has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Shanhong Ling's work include Estrogen and related hormone effects (12 papers), Hormonal and reproductive studies (8 papers) and Menopause: Health Impacts and Treatments (7 papers). Shanhong Ling is often cited by papers focused on Estrogen and related hormone effects (12 papers), Hormonal and reproductive studies (8 papers) and Menopause: Health Impacts and Treatments (7 papers). Shanhong Ling collaborates with scholars based in Australia, China and United States. Shanhong Ling's co-authors include Paul A. Komesaroff, Aozhi Dai, Krishnankutty Sudhir, Zhi‐Xin Guo, Maro R. I. Williams, Ruizhi Luo, Kathy Myles, Alan Bensoussan, Zhi-Jiang Zhang and John W. Funder and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

Shanhong Ling

29 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Shanhong Ling	434	347	222	161	137	29	1.3k
Aozhi Dai	326 0.8×	325 0.9×	154 0.7×	149 0.9×	112 0.8×	25	1.1k
Jing Yu	208 0.5×	779 2.2×	146 0.7×	68 0.4×	115 0.8×	65	1.6k
Sayoko Ogura	199 0.5×	424 1.2×	84 0.4×	92 0.6×	121 0.9×	23	1.5k
Keiko Kitajima	269 0.6×	443 1.3×	82 0.4×	45 0.3×	58 0.4×	28	1.2k
Man Lung Fung	189 0.4×	444 1.3×	61 0.3×	73 0.5×	98 0.7×	29	1.5k
Yuling Chi	241 0.6×	688 2.0×	54 0.2×	181 1.1×	178 1.3×	35	1.7k
Tomi Streng	217 0.5×	277 0.8×	206 0.9×	37 0.2×	181 1.3×	50	1.6k
Naoko Tsuchiya	165 0.4×	213 0.6×	112 0.5×	75 0.5×	63 0.5×	50	1.1k
Jun-ichi Yamakawa	131 0.3×	255 0.7×	70 0.3×	187 1.2×	126 0.9×	55	1.1k
Giuliana Properzi	354 0.8×	198 0.6×	88 0.4×	47 0.3×	65 0.5×	22	1.2k

Countries citing papers authored by Shanhong Ling

Since Specialization

Citations

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

Fields of papers citing papers by Shanhong Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanhong Ling

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