Long Wang
Impact in
-
- Intensive Care Unit Cognitive Disorders
- Developmental Neuroscience top 5%
- Anesthesia and Neurotoxicity Research
Papers in
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- Gestational Diabetes Research and Management 8
- Pregnancy and preeclampsia studies 7
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Hao Zhang (1 shared paper)Fengying Xu (1 shared paper)Xueyin Shi (1 shared paper)Meng Liu (1 shared paper)Zui Zou (1 shared paper)Yan Lü (1 shared paper)Zuoqi Peng (12 shared papers)Ying Yang (10 shared papers)
- Journals
- Medicine (2 papers)The Lancet (2 papers)Journal of Veterinary Pharmacology and Therapeutics (1 paper)Frontiers in Psychiatry (1 paper)PLoS Medicine (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Long Wang
49 papers receiving 800 citations
Peers
Comparison fields: 5 of 115
- Critical Care and Intensive Care Medicine 129
- Developmental Neuroscience 87
- Anesthesiology and Pain Medicine 105
- Obstetrics and Gynecology 117
- Health, Toxicology and Mutagenesis 102
Countries citing papers authored by Long Wang
This map shows the geographic impact of Long Wang'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 Long Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Wang more than expected).
Fields of papers citing papers by Long Wang
This network shows the impact of papers produced by Long Wang. 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 Long Wang. The network helps show where Long Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 154 | |
| 2 | 2013 | 104 | |
| 3 | 2019 | 83 | |
| 4 | 2018 | 81 | |
| 5 | 2020 | 32 | |
| 6 | 2018 | 29 | |
| 7 | 2010 | 28 | |
| 8 | 2018 | 23 | |
| 9 | 2013 | 22 | |
| 10 | 2018 | 21 | |
| 11 | 2011 | 21 | |
| 12 | 2023 | 17 | |
| 13 | 2013 | 15 | |
| 14 | 2018 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2022 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2020 | 9 |
About Long Wang
Long Wang is a scholar working on Obstetrics and Gynecology, Epidemiology, Physiology, Surgery and Pediatrics, Perinatology and Child Health, having authored 55 papers that have together received 814 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (8 papers), Pregnancy and preeclampsia studies (7 papers), Birth, Development, and Health (4 papers), Global Health Care Issues (3 papers), Global Maternal and Child Health (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Physical Activity and Health (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (129 citations), Developmental Neuroscience (87 citations), Anesthesiology and Pain Medicine (105 citations), Obstetrics and Gynecology (117 citations) and Health, Toxicology and Mutagenesis (102 citations). Long Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hao Zhang, Fengying Xu, Xueyin Shi, Meng Liu, Zui Zou, Yan Lü, Zuoqi Peng, Ying Yang, Xu Ma and Qiaomei Wang. Their work appears in journals such as Medicine, The Lancet, Journal of Veterinary Pharmacology and Therapeutics, Frontiers in Psychiatry and PLoS Medicine.
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.