Lin Shi
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cell Adhesion Molecules Research
Papers in
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- Developmental Biology and Gene Regulation 4
- Immunology 11
- Invertebrate Immune Response Mechanisms 9
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Co-authors
- Kang‐Lai Wei (2 shared papers)Gang Chen (1 shared paper)Yun He (1 shared paper)Qing Li (1 shared paper)Xiao‐Jiao Li (1 shared paper)Yi‐Wu Dang (1 shared paper)Yinan Guo (1 shared paper)Peng Lin (1 shared paper)
- Journals
- Animals (3 papers)Environmental Science & Technology (2 papers)Biology Open (2 papers)Cell Proliferation (2 papers)Developmental Biology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lin Shi
35 papers receiving 545 citations
Peers
Comparison fields: 5 of 99
- Cancer Research 97
- Immunology and Allergy 30
- Otorhinolaryngology 17
- Environmental Chemistry 43
- Immunology 81
Countries citing papers authored by Lin Shi
This map shows the geographic impact of Lin Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Shi more than expected).
Fields of papers citing papers by Lin Shi
This network shows the impact of papers produced by Lin Shi. 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 Shi. The network helps show where Lin Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Shi, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 106 | |
| 2 | 1993 | 72 | |
| 3 | 2023 | 41 | |
| 4 | 2021 | 40 | |
| 5 | 2018 | 33 | |
| 6 | 2021 | 26 | |
| 7 | 2022 | 23 | |
| 8 | 2017 | 22 | |
| 9 | 2015 | 22 | |
| 10 | Clinical and biologic roles of PDGFRA in papillary thyroid cancer: a study based on immunohistochemical and in vitro analyses. | 2020 | 19 |
| 11 | 2016 | 16 | |
| 12 | 2021 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2019 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2023 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2021 | 7 |
About Lin Shi
Lin Shi is a scholar working on Molecular Biology, Immunology, Cell Biology, Physiology and Genetics, having authored 40 papers that have together received 551 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (9 papers), Developmental Biology and Gene Regulation (4 papers), Aquatic Ecosystems and Phytoplankton Dynamics (3 papers), Marine and coastal ecosystems (3 papers), Cancer-related molecular mechanisms research (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Muscle metabolism and nutrition (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Cancer Research (97 citations), Immunology and Allergy (30 citations), Otorhinolaryngology (17 citations), Environmental Chemistry (43 citations) and Immunology (81 citations). Lin Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kang‐Lai Wei, Gang Chen, Yun He, Qing Li, Xiao‐Jiao Li, Yi‐Wu Dang, Yinan Guo, Peng Lin, Hong Yang and Kenneth V. Honn. Their work appears in journals such as Animals, Environmental Science & Technology, Biology Open, Cell Proliferation and Developmental Biology.
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.