Weihong Hu

2.3k total citations
16 papers, 369 citations indexed

About

Weihong Hu is a scholar working on Reproductive Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Weihong Hu has authored 16 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Reproductive Medicine, 6 papers in Molecular Biology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Weihong Hu's work include Ovarian function and disorders (8 papers), Lipid metabolism and disorders (6 papers) and Reproductive Biology and Fertility (3 papers). Weihong Hu is often cited by papers focused on Ovarian function and disorders (8 papers), Lipid metabolism and disorders (6 papers) and Reproductive Biology and Fertility (3 papers). Weihong Hu collaborates with scholars based in China, Switzerland and Netherlands. Weihong Hu's co-authors include Jie Qiao, Qi Zhang, Qiao Liu, Bo Sun, Xianzhong Yan, Rong Li, Yang Yan, Huai L. Feng, Lina Wang and Meizhi Li and has published in prestigious journals such as Human Reproduction, Fertility and Sterility and Journal of Proteome Research.

In The Last Decade

Weihong Hu

16 papers receiving 365 citations

Peers

Weihong Hu
Comparison fields: 5 of 61
  • Reproductive Medicine 249
  • Public Health, Environmental and Occupational Health 170
  • Molecular Biology 135
  • Cardiology and Cardiovascular Medicine 41
  • Immunology 35
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Citations per field, relative to Weihong Hu
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Citations per year, relative to Weihong Hu
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Countries citing papers authored by Weihong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Weihong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihong Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Weihong Hu. A scholar is included among the top collaborators of Weihong Hu 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 Weihong Hu. Weihong Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 2
2 2
3 9
4 24
5 52
6 1
7
[Expression of PPARγ mRNA in granulosa cells and its correlation with clinical characteristics of polycystic ovary syndrome].
2
8 34
9 131
10 33
11 45
12
[Clinical features of the metabolic syndrome in patients with polycystic ovary syndrome].
4
13
[Characteristics of abnormal glucose tolerance in patients with polycystic ovary syndrome].
2
14
[Association of monocyte chemoattractant protein-1 and the clinical characteristics of polycystic ovary syndrome: analysis of 65 cases].
6
15
[Relations of serum adipocyte fatty acid binding protein to sex hormone and lipoproteins in patients with polycystic ovary syndrome].
5
16
[Monocyte chemoattractant protein-1 and its correlation with lipoprotein in polycystic ovary syndrome].
17

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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