Hailan Yang

973 total citations
37 papers, 635 citations indexed

About

Hailan Yang is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Hailan Yang has authored 37 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Obstetrics and Gynecology, 16 papers in Pediatrics, Perinatology and Child Health and 8 papers in Molecular Biology. Recurrent topics in Hailan Yang's work include Pregnancy and preeclampsia studies (18 papers), Birth, Development, and Health (14 papers) and Gestational Diabetes Research and Management (13 papers). Hailan Yang is often cited by papers focused on Pregnancy and preeclampsia studies (18 papers), Birth, Development, and Health (14 papers) and Gestational Diabetes Research and Management (13 papers). Hailan Yang collaborates with scholars based in China, United States and United Kingdom. Hailan Yang's co-authors include Yu Han, Yongliang Feng, Suping Wang, Weiwei Wu, Xi Chen, Xiaoming Shi, Yawei Zhang, Keke Wang, Yawei Zhang and Ping Zhang and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Chemosphere.

In The Last Decade

Hailan Yang

36 papers receiving 612 citations

Peers

Hailan Yang
Comparison fields: 5 of 101
  • Obstetrics and Gynecology 226
  • Pediatrics, Perinatology and Child Health 149
  • Infectious Diseases 115
  • Health, Toxicology and Mutagenesis 98
  • Public Health, Environmental and Occupational Health 86
Replace Malia S. Q. Murphy with:
Malia S. Q. Murphy Canada
Hongling Yang China
N. S. Weiss United States
Alireza Mosavi-Jarrahi Iran
Víctor Herrera Colombia
Louise F. Wilson Australia
Aiqun Huang China
Felix Wong Australia
Juwel Rana Bangladesh
Malia S. Q. Murphy Canada View profile →
Citations per field, relative to Hailan Yang
Hailan Yang · 1×
Citations per year, relative to Hailan Yang
Hailan Yang · 1×

Countries citing papers authored by Hailan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hailan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hailan Yang. A scholar is included among the top collaborators of Hailan Yang 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 Hailan Yang. Hailan Yang 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 1
2 6
3 4
4 10
5 1
6 2
7 2
8 6
9 5
10 6
11 2
12 4
13 1
14 18
15 14
16 20
17 1
18 1
19 6
20 9

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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