Haibei Hu
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
-
- Receptor Mechanisms and Signaling 5
- Protein Kinase Regulation and GTPase Signaling 2
- Nicotinic Acetylcholine Receptors Study 2
- Sphingolipid Metabolism and Signaling 1
-
- Neuropeptides and Animal Physiology 2
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Fang Ye (8 shared papers)Huayun Deng (7 shared papers)Ann M. Ferrie (3 shared papers)Chung Yu Chan (1 shared paper)Raymond Pugh (1 shared paper)Hong Zhao (1 shared paper)Stephen J. Benkovic (1 shared paper)Youxin Zhang (1 shared paper)
- Journals
- SLAS DISCOVERY (1 paper)Scientific Reports (1 paper)ACS Medicinal Chemistry Letters (1 paper)FEBS Letters (1 paper)Therapeutic Advances in Neurological Disorders (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Haibei Hu
9 papers receiving 410 citations
Peers
Comparison fields: 5 of 75
- Physiology 42
- Structural Biology 11
- Biophysics 36
- Molecular Biology 323
- Cellular and Molecular Neuroscience 76
Countries citing papers authored by Haibei Hu
This map shows the geographic impact of Haibei Hu'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 Haibei Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibei Hu more than expected).
Fields of papers citing papers by Haibei Hu
This network shows the impact of papers produced by Haibei Hu. 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 Haibei Hu. The network helps show where Haibei Hu may publish in the future.
Co-authors
The 23 scholars most cited alongside Haibei Hu, 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 | 2016 | 177 | |
| 2 | 2011 | 56 | |
| 3 | 2012 | 55 | |
| 4 | 2011 | 45 | |
| 5 | 2012 | 28 | |
| 6 | 2012 | 20 | |
| 7 | 2012 | 14 | |
| 8 | 2012 | 14 | |
| 9 | 2023 | 9 | |
| 10 | 2026 | 0 |
About Haibei Hu
Haibei Hu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Oncology and Physiology, having authored 10 papers that have together received 418 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cancer Treatment and Pharmacology (1 paper), Apelin-related biomedical research (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Physiology (42 citations), Structural Biology (11 citations), Biophysics (36 citations), Molecular Biology (323 citations) and Cellular and Molecular Neuroscience (76 citations). Haibei Hu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Fang Ye, Huayun Deng, Ann M. Ferrie, Chung Yu Chan, Raymond Pugh, Hong Zhao, Stephen J. Benkovic, Youxin Zhang, Sara A. Jones and Anthony M. Pedley. Their work appears in journals such as SLAS DISCOVERY, Scientific Reports, ACS Medicinal Chemistry Letters, FEBS Letters and Therapeutic Advances in Neurological Disorders.
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.