Yan Zhang
- Cellular and Molecular Neuroscience top 0.5%
- Neuropeptides and Animal Physiology 17
- Neuroscience and Neuropharmacology Research 14
- Structural Biology top 1%
- Molecular Biology top 1%
- Receptor Mechanisms and Signaling 44
- Protein purification and stability 8
- RNA Research and Splicing 8
- Oncology top 2%
- Drug Transport and Resistance Mechanisms 35
- Biological Psychiatry top 5%
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- Pharmacological Effects and Toxicity Studies 11
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- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Georgios SkiniotisBrian K. KobilkaHongli HuDonald W. MillerWilliam F. ElmquistQianhui QuXue‐Long HouJeffrey Tarrasch
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yan Zhang
210 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Cellular and Molecular Neuroscience 1.9k
- Structural Biology 137
- Molecular Biology 4.6k
- Oncology 1.1k
- Biological Psychiatry 87
Countries citing papers authored by Yan Zhang
This map shows the geographic impact of Yan Zhang'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 Yan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Zhang more than expected).
Fields of papers citing papers by Yan Zhang
This network shows the impact of papers produced by Yan Zhang. 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 Yan Zhang. The network helps show where Yan Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan Zhang, 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 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 21 | |
| 10 | 2022 | 25 | |
| 11 | 2022 | 71 | |
| 12 | 2022 | 38 | |
| 13 | Structural insights into the lipid and ligand regulation of serotonin receptorsbreakdown → | 2021 | 185 |
| 14 | 2021 | 62 | |
| 15 | 2021 | 57 | |
| 16 | 2021 | 56 | |
| 17 | 2017 | 14 | |
| 18 | 2013 | 12 | |
| 19 | [Correlation between reversing effect of cepharanthine hydrochloride on multidrug resistance and P-glycoprotein expression and function of K562/ADR cells]. | 2012 | 6 |
| 20 | 2011 | 4 |
About Yan Zhang
Yan Zhang is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience, having authored 227 papers that have together received 7.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (44 papers), Drug Transport and Resistance Mechanisms (35 papers), Neuropeptides and Animal Physiology (17 papers), Neuroscience and Neuropharmacology Research (14 papers), Pharmacological Effects and Toxicity Studies (11 papers), Protein purification and stability (8 papers), RNA Research and Splicing (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Structural Biology (137 citations) and Molecular Biology (4.6k citations). Yan Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Georgios Skiniotis, Brian K. Kobilka, Hongli Hu, Donald W. Miller, William F. Elmquist, Qianhui Qu, Xue‐Long Hou, Jeffrey Tarrasch, Qifan Wu and Sunliang Cui. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.