Xiaoran Wang
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
Papers in
-
- Neuroendocrine regulation and behavior 19
- Co-authors
- Yu‐Feng Wang (24 shared papers)Shuwei Jia (26 shared papers)Yanqing Cong (9 shared papers)Xiaoyu Liu (19 shared papers)Shi‐Wen Lv (6 shared papers)Tong Li (15 shared papers)Lin Che (3 shared papers)Ping Wang (7 shared papers)
- Journals
- ASN NEURO (5 papers)Neuroendocrinology (3 papers)Separation and Purification Technology (3 papers)Neurochemical Research (3 papers)Neuroscience (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoran Wang
110 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 160
- Behavioral Neuroscience 53
- Endocrine and Autonomic Systems 92
- Research and Theory 10
- Renewable Energy, Sustainability and the Environment 150
- Pharmacy 37
Countries citing papers authored by Xiaoran Wang
This map shows the geographic impact of Xiaoran 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 Xiaoran Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoran Wang more than expected).
Fields of papers citing papers by Xiaoran Wang
This network shows the impact of papers produced by Xiaoran 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 Xiaoran Wang. The network helps show where Xiaoran Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoran 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 63 | |
| 2 | 2013 | 48 | |
| 3 | 2021 | 43 | |
| 4 | 2022 | 43 | |
| 5 | 2022 | 42 | |
| 6 | 2023 | 36 | |
| 7 | 2022 | 35 | |
| 8 | 2024 | 30 | |
| 9 | 2018 | 28 | |
| 10 | 2024 | 28 | |
| 11 | 2024 | 28 | |
| 12 | 2022 | 26 | |
| 13 | 2015 | 24 | |
| 14 | 2023 | 23 | |
| 15 | 2024 | 22 | |
| 16 | 2017 | 21 | |
| 17 | 2015 | 21 | |
| 18 | 2021 | 20 | |
| 19 | 2010 | 20 | |
| 20 | 2018 | 19 |
About Xiaoran Wang
Xiaoran Wang is a scholar working on Social Psychology, Molecular Biology, Endocrine and Autonomic Systems, Renewable Energy, Sustainability and the Environment and Materials Chemistry, having authored 114 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (19 papers), Neuroscience of respiration and sleep (11 papers), Advanced Photocatalysis Techniques (8 papers), Infant Health and Development (7 papers), Advanced Nanomaterials in Catalysis (6 papers), Stress Responses and Cortisol (5 papers), Migration, Health and Trauma (5 papers) and Posttraumatic Stress Disorder Research (5 papers). The work is most often cited by research in Behavioral Neuroscience (53 citations), Endocrine and Autonomic Systems (92 citations), Research and Theory (10 citations), Renewable Energy, Sustainability and the Environment (150 citations) and Pharmacy (37 citations). Xiaoran Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yu‐Feng Wang, Shuwei Jia, Yanqing Cong, Xiaoyu Liu, Shi‐Wen Lv, Tong Li, Lin Che, Ping Wang, Jialu Pan and Dongyang Li. Their work appears in journals such as ASN NEURO, Neuroendocrinology, Separation and Purification Technology, Neurochemical Research and Neuroscience.
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.