Bin Lin
Impact in
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- Effects of Radiation Exposure
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Effects of Radiation Exposure 6
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- Heat shock proteins research 2
- Inflammasome and immune disorders 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Gang Huang (1 shared paper)Hong Wei Xu (1 shared paper)Huiping Xue (1 shared paper)Peihua Ni (1 shared paper)Min Gang Zhai (7 shared papers)Juliann Gong Kiang (5 shared papers)Suping Jiang (4 shared papers)Joan T. Smith (3 shared papers)
- Journals
- Drug Design Development and Therapy (2 papers)Radiation Research (2 papers)Frontiers in Pharmacology (2 papers)Toxics (2 papers)Frontiers in Public Health (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Bin Lin
23 papers receiving 364 citations
Peers
Comparison fields: 5 of 74
- Radiology, Nuclear Medicine and Imaging 84
- Neurology 21
- Rehabilitation 16
- Surgery 105
- Immunology 51
Countries citing papers authored by Bin Lin
This map shows the geographic impact of Bin Lin'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 Bin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Lin more than expected).
Fields of papers citing papers by Bin Lin
This network shows the impact of papers produced by Bin Lin. 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 Bin Lin. The network helps show where Bin Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Lin, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 107 | |
| 2 | 2022 | 39 | |
| 3 | 2017 | 35 | |
| 4 | 2017 | 32 | |
| 5 | 2015 | 21 | |
| 6 | 2014 | 20 | |
| 7 | 2021 | 20 | |
| 8 | 2016 | 16 | |
| 9 | 2015 | 11 | |
| 10 | Application of back-propagation artificial neural network and curve estimation in pharmacokinetics of losartan in rabbit. | 2015 | 11 |
| 11 | 2021 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2025 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2015 | 2 |
About Bin Lin
Bin Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Complementary and alternative medicine, Infectious Diseases and Physiology, having authored 26 papers that have together received 375 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (6 papers), Heat shock proteins research (2 papers), Inflammasome and immune disorders (2 papers), COVID-19 and healthcare impacts (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Glycosylation and Glycoproteins Research (1 paper), Fungal Infections and Studies (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (84 citations), Neurology (21 citations), Rehabilitation (16 citations), Surgery (105 citations) and Immunology (51 citations). Bin Lin has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Gang Huang, Hong Wei Xu, Huiping Xue, Peihua Ni, Min Gang Zhai, Juliann Gong Kiang, Suping Jiang, Joan T. Smith, Dingsheng Lin and Xiaoli Zhang. Their work appears in journals such as Drug Design Development and Therapy, Radiation Research, Frontiers in Pharmacology, Toxics and Frontiers in Public Health.
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.