Linlin Bi
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Biological Psychiatry top 10%
Papers in
-
- Pluripotent Stem Cells Research 4
- Receptor Mechanisms and Signaling 4
-
- Neuroscience and Neuropharmacology Research 8
- Co-authors
- Siwang Wang (14 shared papers)Yanhua Xie (7 shared papers)Xuanxuan Zhou (8 shared papers)Shan Miao (7 shared papers)Wei Cao (4 shared papers)Qian Yang (4 shared papers)Qing Miao (5 shared papers)Ming Chen (5 shared papers)
- Journals
- Neuropharmacology (3 papers)Frontiers in Pharmacology (2 papers)Neuroscience (2 papers)Neuron (2 papers)Neuropsychopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Linlin Bi
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Behavioral Neuroscience 87
- Biological Psychiatry 44
- Complementary and alternative medicine 123
- Cellular and Molecular Neuroscience 263
- Endocrine and Autonomic Systems 63
Countries citing papers authored by Linlin Bi
This map shows the geographic impact of Linlin Bi'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 Linlin Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linlin Bi more than expected).
Fields of papers citing papers by Linlin Bi
This network shows the impact of papers produced by Linlin Bi. 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 Linlin Bi. The network helps show where Linlin Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Linlin Bi, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 190 | |
| 2 | 2016 | 106 | |
| 3 | 2013 | 99 | |
| 4 | 2014 | 83 | |
| 5 | 2013 | 83 | |
| 6 | 2014 | 83 | |
| 7 | 2020 | 74 | |
| 8 | 2015 | 66 | |
| 9 | 2014 | 60 | |
| 10 | 2011 | 51 | |
| 11 | 2016 | 41 | |
| 12 | 2015 | 39 | |
| 13 | 2018 | 29 | |
| 14 | 2018 | 28 | |
| 15 | 2017 | 25 | |
| 16 | 2021 | 24 | |
| 17 | Angel of human health: current research updates in toad medicine. | 2015 | 24 |
| 18 | 2022 | 23 | |
| 19 | 2021 | 23 | |
| 20 | 2020 | 16 |
About Linlin Bi
Linlin Bi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Endocrine and Autonomic Systems and Social Psychology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Circadian rhythm and melatonin (6 papers), Memory and Neural Mechanisms (6 papers), Neuroendocrine regulation and behavior (5 papers), Sleep and Wakefulness Research (5 papers), Pluripotent Stem Cells Research (4 papers), Receptor Mechanisms and Signaling (4 papers) and Traditional Chinese Medicine Analysis (4 papers). The work is most often cited by research in Behavioral Neuroscience (87 citations), Biological Psychiatry (44 citations), Complementary and alternative medicine (123 citations), Cellular and Molecular Neuroscience (263 citations) and Endocrine and Autonomic Systems (63 citations). Linlin Bi has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Siwang Wang, Yanhua Xie, Xuanxuan Zhou, Shan Miao, Wei Cao, Qian Yang, Qing Miao, Ming Chen, Qian Yang and Hua Li. Their work appears in journals such as Neuropharmacology, Frontiers in Pharmacology, Neuroscience, Neuron and Neuropsychopharmacology.
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.