T. Hu
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Gut microbiota and health 3
-
- Nuclear Physics and Applications 8
- Radiation Detection and Scintillator Technologies 8
- Co-authors
- Mingyi Zhao (5 shared papers)Qingnan He (2 shared papers)Yue Zhou (4 shared papers)Ying Liu (1 shared paper)Quan Zhuang (1 shared paper)Gang Pei (4 shared papers)Linyong Xu (1 shared paper)Qinying Wang (5 shared papers)
- Journals
- Scientific Reports (2 papers)Frontiers in Aging Neuroscience (2 papers)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)Stem Cells (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
T. Hu
30 papers receiving 447 citations
Peers
Comparison fields: 5 of 115
- Biological Psychiatry 32
- Developmental Neuroscience 19
- Behavioral Neuroscience 16
- Radiation 36
- Neurology 28
Countries citing papers authored by T. Hu
This map shows the geographic impact of T. 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 T. Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Hu more than expected).
Fields of papers citing papers by T. Hu
This network shows the impact of papers produced by T. 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 T. Hu. The network helps show where T. Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside T. 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
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2019 | 58 | |
| 3 | 2020 | 58 | |
| 4 | 2018 | 37 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 24 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 19 | |
| 9 | 2013 | 18 | |
| 10 | 2017 | 16 | |
| 11 | 2024 | 15 | |
| 12 | 2019 | 13 | |
| 13 | 2021 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2024 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2012 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2008 | 5 | |
| 20 | 2013 | 4 |
About T. Hu
T. Hu is a scholar working on Molecular Biology, Radiation, Radiology, Nuclear Medicine and Imaging, Physiology and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 453 indexed citations. Recurring topics across this work include Nuclear Physics and Applications (8 papers), Radiation Detection and Scintillator Technologies (8 papers), Medical Imaging Techniques and Applications (6 papers), Alzheimer's disease research and treatments (3 papers), Gut microbiota and health (3 papers), Metal complexes synthesis and properties (3 papers), Recycling and Waste Management Techniques (2 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Developmental Neuroscience (19 citations), Behavioral Neuroscience (16 citations), Radiation (36 citations) and Neurology (28 citations). T. Hu has collaborated with scholars based in China and United States. Frequent co-authors include Mingyi Zhao, Qingnan He, Qingnan He, Yue Zhou, Ying Liu, Quan Zhuang, Gang Pei, Linyong Xu, Qinying Wang and Jing Lü. Their work appears in journals such as Scientific Reports, Frontiers in Aging Neuroscience, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Oxidative Medicine and Cellular Longevity and Stem Cells.
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.