Lin Tan
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Hydrogels: synthesis, properties, applications
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- Extracellular vesicles in disease
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
Papers in
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- Machine Learning in Bioinformatics 2
- Metabolomics and Mass Spectrometry Studies 2
- Receptor Mechanisms and Signaling 2
- RNA and protein synthesis mechanisms 2
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- Cardiomyopathy and Myosin Studies 2
- Co-authors
- Nawazish Naqvi (9 shared papers)Robert O. J. Weinzierl (2 shared papers)Xiaonan H. Wang (2 shared papers)Janet D. Klein (2 shared papers)Jie Du (1 shared paper)Bin Wang (1 shared paper)Aiqing Zhang (1 shared paper)Ze‐Mu Wang (1 shared paper)
- Journals
- Scientific Reports (3 papers)Theranostics (2 papers)The FASEB Journal (1 paper)Circulation Heart Failure (1 paper)Soft Matter (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lin Tan
20 papers receiving 567 citations
Peers
Comparison fields: 5 of 94
- Molecular Medicine 87
- Molecular Biology 343
- Nephrology 31
- Cancer Research 65
- Biomaterials 50
Countries citing papers authored by Lin Tan
This map shows the geographic impact of Lin Tan'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 Lin Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Tan more than expected).
Fields of papers citing papers by Lin Tan
This network shows the impact of papers produced by Lin Tan. 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 Lin Tan. The network helps show where Lin Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Tan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 135 | |
| 2 | 2012 | 78 | |
| 3 | 2008 | 75 | |
| 4 | 2016 | 62 | |
| 5 | 2012 | 50 | |
| 6 | 2016 | 35 | |
| 7 | 2014 | 23 | |
| 8 | 2007 | 20 | |
| 9 | 2019 | 17 | |
| 10 | 2020 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2018 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2022 | 3 | |
| 19 | Methylation and mRNA expression levels of P15, death-associated protein kinase, and suppressor of cytokine signaling-1 genes in multiple myeloma. | 2016 | 1 |
| 20 | 2022 | 1 |
About Lin Tan
Lin Tan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Immunology and Biomedical Engineering, having authored 22 papers that have together received 573 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (2 papers), Mast cells and histamine (2 papers), Bacterial Genetics and Biotechnology (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Receptor Mechanisms and Signaling (2 papers), Endometriosis Research and Treatment (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Medicine (87 citations), Molecular Biology (343 citations), Nephrology (31 citations), Cancer Research (65 citations) and Biomaterials (50 citations). Lin Tan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nawazish Naqvi, Robert O. J. Weinzierl, Xiaonan H. Wang, Janet D. Klein, Jie Du, Bin Wang, Aiqing Zhang, Ze‐Mu Wang, Haidong Wang and Bi‐Cheng Liu. Their work appears in journals such as Scientific Reports, Theranostics, The FASEB Journal, Circulation Heart Failure and Soft Matter.
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.