Baichun Hu
- Pharmacology top 10%
-
- Computational Drug Discovery Methods 16
- Analytical Chemistry top 10%
-
- Receptor Mechanisms and Signaling 7
- Cancer therapeutics and mechanisms 4
- Protein Degradation and Inhibitors 4
-
- Peptidase Inhibition and Analysis 5
- Cancer-related Molecular Pathways 4
-
- Graphene research and applications 4
-
- Synthesis and biological activity 3
- Co-authors
- Jian WangHanxun WangFengjiao ZhangMaosheng ChengYing WangTingting ZhangXiaohong HouXiaomei He
- Journals
- Physical Chemistry Chemical Physics (8 papers)Journal of Biomolecular Structure and Dynamics (6 papers)Bioorganic Chemistry (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Baichun Hu
51 papers receiving 652 citations
Peers
Comparison fields: 5 of 99
- Pharmacology 50
- Computational Theory and Mathematics 89
- Analytical Chemistry 47
- Water Science and Technology 56
- Pharmacology 63
Countries citing papers authored by Baichun Hu
This map shows the geographic impact of Baichun 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 Baichun Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baichun Hu more than expected).
Fields of papers citing papers by Baichun Hu
This network shows the impact of papers produced by Baichun 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 Baichun Hu. The network helps show where Baichun Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Baichun 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 | 2025 | 0 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 9 | |
| 12 | Preparation and freeze-thaw damage evolution of n-tetradecane/graphite low-temperature phase change cement-based materials | 2021 | 6 |
| 13 | 2021 | 13 | |
| 14 | 2021 | 10 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 17 | |
| 17 | 2019 | 14 | |
| 18 | 2018 | 42 | |
| 19 | 2018 | 12 | |
| 20 | 2018 | 5 |
About Baichun Hu
Baichun Hu is a scholar working on Computational Theory and Mathematics, Pharmacology and Oncology, having authored 55 papers that have together received 660 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Receptor Mechanisms and Signaling (7 papers), Peptidase Inhibition and Analysis (5 papers), Cancer therapeutics and mechanisms (4 papers), Cancer-related Molecular Pathways (4 papers), Graphene research and applications (4 papers), Protein Degradation and Inhibitors (4 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Pharmacology (50 citations), Computational Theory and Mathematics (89 citations) and Analytical Chemistry (47 citations). Baichun Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian Wang, Hanxun Wang, Fengjiao Zhang, Maosheng Cheng, Ying Wang, Tingting Zhang, Xiaohong Hou, Xiaomei He, Zhaokun Wang and Junyuan Zhang. Their work appears in journals such as Physical Chemistry Chemical Physics, Journal of Biomolecular Structure and Dynamics, Bioorganic Chemistry, New Journal of Chemistry and Journal of Medicinal Chemistry.
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.