Caiping Mao

1.7k citations
92 papers · 1.3k · h-index 23

Impact in

Papers in

Caiping Mao

85 papers receiving 1.3k citations

Peers

Caiping Mao
Comparison fields: 5 of 93
  • Obstetrics and Gynecology 298
  • Pediatrics, Perinatology and Child Health 494
  • Endocrine and Autonomic Systems 83
  • Cardiology and Cardiovascular Medicine 164
  • Endocrinology, Diabetes and Metabolism 117
Replace Loren P. Thompson with:
Loren P. Thompson United States
Eliana Hiromi Akamine Brazil
Carrie E. McCurdy United States
Fernanda R. Giachini Brazil
Joanna L. Stanley United Kingdom
Francine Einstein United States
Jamileh Movassat France
Toyoyoshi Uchida Japan
Fred Haugen Norway
G. Janßen Netherlands
Caiping Mao relative to Loren P. Thompson United States Loren P. Thompson's profile →
Citations per field
00.5×1.6×
Loren P. Thompson · 1×
Citations per year

Countries citing papers authored by Caiping Mao

Since Specialization
Citations

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

Fields of papers citing papers by Caiping Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Caiping Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caiping Mao Line = papers co-authored together Caiping Mao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202070
2 200851
3 201050
4 201645
5 201045
6 201840
7 201237
8 201336
9 201435
10 201533
11 200931
12 201729
13 201328
14 201728
15 201427
16 200927
17 201627
18 201627
19 200925
20 201425

About Caiping Mao

Caiping Mao is a scholar working on Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine, Molecular Biology, Obstetrics and Gynecology and Social Psychology, having authored 92 papers that have together received 1.3k indexed citations. Recurring topics across this work include Birth, Development, and Health (29 papers), Renin-Angiotensin System Studies (20 papers), Pregnancy and preeclampsia studies (17 papers), Neuroendocrine regulation and behavior (13 papers), Nicotinic Acetylcholine Receptors Study (6 papers), Hormonal Regulation and Hypertension (5 papers), Sodium Intake and Health (4 papers) and Neuroscience of respiration and sleep (4 papers). The work is most often cited by research in Obstetrics and Gynecology (298 citations), Pediatrics, Perinatology and Child Health (494 citations), Endocrine and Autonomic Systems (83 citations), Cardiology and Cardiovascular Medicine (164 citations) and Endocrinology, Diabetes and Metabolism (117 citations). Caiping Mao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhice Xu, Li Zhang, Juanxiu Lv, Zhice Xu, Le Bo, Qinqin Gao, Lijun Shi, Liyan Zhu, Xiaolin Zhu and Zhen‐Lun Gu. Their work appears in journals such as Peptides, Hypertension Research, Brain Research, Frontiers in Oncology and Scientific Reports.

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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