Caiping Mao
Impact in
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
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- Birth, Development, and Health
Papers in
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- Pregnancy and preeclampsia studies 22
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- Birth, Development, and Health 36
- Assisted Reproductive Technology and Twin Pregnancy 5
Caiping Mao
83 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Obstetrics and Gynecology 362
- Pediatrics, Perinatology and Child Health 582
- Endocrine and Autonomic Systems 98
- Endocrinology, Diabetes and Metabolism 143
- Cardiology and Cardiovascular Medicine 180
Countries citing papers authored by Caiping Mao
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2017 | 25 | |
| 11 | 2016 | 45 | |
| 12 | 2015 | 4 | |
| 13 | 2014 | 34 | |
| 14 | 2013 | 36 | |
| 15 | 2009 | 25 | |
| 16 | 2009 | 17 | |
| 17 | 2008 | 6 | |
| 18 | [The role of extracellular signal-regulated kinase/mitogen-activated protein kinase pathway in multidrug resistance of hepatocellular carcinoma]. | 2007 | 7 |
| 19 | 2006 | 9 | |
| 20 | 2005 | 22 |
About Caiping Mao
Caiping Mao is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Social Psychology, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Birth, Development, and Health (36 papers), Renin-Angiotensin System Studies (24 papers), Pregnancy and preeclampsia studies (22 papers), Neuroendocrine regulation and behavior (17 papers), Hormonal Regulation and Hypertension (7 papers), Neuroscience of respiration and sleep (7 papers), Nicotinic Acetylcholine Receptors Study (6 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). The work is most often cited by research in Obstetrics and Gynecology (362 citations), Pediatrics, Perinatology and Child Health (582 citations), Endocrine and Autonomic Systems (98 citations), Endocrinology, Diabetes and Metabolism (143 citations) and Cardiology and Cardiovascular Medicine (180 citations). Caiping Mao has collaborated with scholars based in China, United States and Russia. 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, Scientific Reports, Brain Research and Frontiers in Oncology.
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.