Haijun Han
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Developmental Neuroscience top 10%
- Anesthesia and Neurotoxicity Research
Papers in
-
- Nicotinic Acetylcholine Receptors Study 7
- Receptor Mechanisms and Signaling 2
-
- Smoking Behavior and Cessation 5
- Co-authors
- Ming D. Li (21 shared papers)Zhongli Yang (18 shared papers)Guangying Luo (3 shared papers)Jundong Wang (4 shared papers)Bing‐Rui Zhou (3 shared papers)Zilong Sun (5 shared papers)Chong Wang (2 shared papers)Jingjing Li (1 shared paper)
- Journals
- Molecular Psychiatry (3 papers)Scientific Reports (3 papers)Biological Trace Element Research (2 papers)Frontiers in Psychiatry (2 papers)Translational Psychiatry (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Haijun Han
32 papers receiving 601 citations
Peers
Comparison fields: 5 of 103
- Biological Psychiatry 60
- Developmental Neuroscience 38
- Health, Toxicology and Mutagenesis 111
- Water Science and Technology 80
- Behavioral Neuroscience 15
Countries citing papers authored by Haijun Han
This map shows the geographic impact of Haijun Han'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 Haijun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Han more than expected).
Fields of papers citing papers by Haijun Han
This network shows the impact of papers produced by Haijun Han. 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 Haijun Han. The network helps show where Haijun Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Han, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 115 | |
| 2 | 2016 | 72 | |
| 3 | 2014 | 60 | |
| 4 | 2015 | 57 | |
| 5 | 2017 | 32 | |
| 6 | 2016 | 27 | |
| 7 | 2014 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2018 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2019 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2025 | 13 | |
| 16 | 2017 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 2024 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2021 | 9 |
About Haijun Han
Haijun Han is a scholar working on Molecular Biology, Physiology, Epidemiology, Cellular and Molecular Neuroscience and Genetics, having authored 33 papers that have together received 605 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (7 papers), Smoking Behavior and Cessation (5 papers), Hepatitis B Virus Studies (3 papers), Fluoride Effects and Removal (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Receptor Mechanisms and Signaling (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Biological Psychiatry (60 citations), Developmental Neuroscience (38 citations), Health, Toxicology and Mutagenesis (111 citations), Water Science and Technology (80 citations) and Behavioral Neuroscience (15 citations). Haijun Han has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ming D. Li, Zhongli Yang, Guangying Luo, Jundong Wang, Bing‐Rui Zhou, Zilong Sun, Chong Wang, Jingjing Li, Zhiwei Bao and Shaolin Wang. Their work appears in journals such as Molecular Psychiatry, Scientific Reports, Biological Trace Element Research, Frontiers in Psychiatry and Translational Psychiatry.
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.