Shanhong Ling

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 Traditional Chinese Medicine Analysis (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 Traditional Chinese Medicine Analysis (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

Peers

Shanhong Ling
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 434
  • Molecular Biology 346
  • Genetics 222
  • Complementary and alternative medicine 161
  • Pharmacology 137
Replace Aozhi Dai with:
Aozhi Dai Australia
Jing Yu China
­Low‐Tone Ho Taiwan
Christiane Ott Germany
Emina Sudar-Milovanović Serbia
Naoko Tsuchiya Japan
Jiangang Wang China
Xiaofei Guo China
Dan Liao China
Aozhi Dai Australia View profile →
Citations per field, relative to Shanhong Ling
Shanhong Ling · 1×
Citations per year, relative to Shanhong Ling
Shanhong Ling · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 22
2 54
3 3
4 22
5 38
6 4
7 15
8 24
9 56
10 9
11 37
12 49
13
The relationship between testosterone and molecular markers of inflammation in older men.
144
14 23
15 113
16 10
17 52
18 113
19 1
20 12

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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