Long Wang
Impact in
-
- Intensive Care Unit Cognitive Disorders
- Obstetrics and Gynecology top 5%
- Gestational Diabetes Research and Management
Papers in
- Physiology 10
- Smoking Behavior and Cessation 2
- Adipose Tissue and Metabolism 2
-
- Gestational Diabetes Research and Management 7
- Pregnancy and preeclampsia studies 4
- Co-authors
- Yan Lü (1 shared paper)Xueyin Shi (1 shared paper)Fengying Xu (1 shared paper)Zui Zou (1 shared paper)Meng Liu (1 shared paper)Hao Zhang (1 shared paper)Xu Ma (13 shared papers)Zuoqi Peng (12 shared papers)
- Journals
- The Lancet (2 papers)Medicine (2 papers)BMC Medicine (1 paper)Neurological Sciences (1 paper)Clinical & Experimental Immunology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Long Wang
49 papers receiving 809 citations
Peers
Comparison fields: 5 of 106
- Critical Care and Intensive Care Medicine 123
- Obstetrics and Gynecology 85
- Developmental Neuroscience 42
- Anesthesiology and Pain Medicine 45
- Health, Toxicology and Mutagenesis 89
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 155 | |
| 2 | 2013 | 104 | |
| 3 | 2019 | 84 | |
| 4 | 2018 | 81 | |
| 5 | 2020 | 32 | |
| 6 | 2018 | 29 | |
| 7 | 2010 | 28 | |
| 8 | 2018 | 23 | |
| 9 | 2013 | 22 | |
| 10 | 2018 | 22 | |
| 11 | 2023 | 21 | |
| 12 | 2011 | 21 | |
| 13 | 2013 | 15 | |
| 14 | 2017 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2020 | 9 |
About Long Wang
Long Wang is a scholar working on Physiology, Obstetrics and Gynecology, Epidemiology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 53 papers that have together received 823 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (7 papers), Pregnancy and preeclampsia studies (4 papers), Birth, Development, and Health (3 papers), Smoking Behavior and Cessation (2 papers), Adipose Tissue and Metabolism (2 papers), Hormonal Regulation and Hypertension (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (123 citations), Obstetrics and Gynecology (85 citations), Developmental Neuroscience (42 citations), Anesthesiology and Pain Medicine (45 citations) and Health, Toxicology and Mutagenesis (89 citations). Long Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yan Lü, Xueyin Shi, Fengying Xu, Zui Zou, Meng Liu, Hao Zhang, Xu Ma, Zuoqi Peng, Ying Yang and Ya Zhang. Their work appears in journals such as The Lancet, Medicine, BMC Medicine, Neurological Sciences and Clinical & Experimental Immunology.
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.