Lin Shan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
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- RNA Research and Splicing 6
- RNA modifications and cancer 4
- RNA and protein synthesis mechanisms 3
-
- Cancer-related molecular mechanisms research 5
- Co-authors
- Ling‐Ling Chen (5 shared papers)Li Yang (4 shared papers)Yu‐Hang Xing (3 shared papers)Man Wu (3 shared papers)Liang-Zhong Yang (3 shared papers)Guang Xu (2 shared papers)Ying Wang (1 shared paper)Yang Wang (1 shared paper)
- Journals
- Agronomy (2 papers)Frontiers in Genetics (1 paper)Nature Methods (1 paper)Cell Discovery (1 paper)Protein & Cell (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Lin Shan
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 402
- Molecular Biology 802
- Structural Biology 6
- Aging 6
- Endocrinology 16
Countries citing papers authored by Lin Shan
This map shows the geographic impact of Lin Shan'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 Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Shan more than expected).
Fields of papers citing papers by Lin Shan
This network shows the impact of papers produced by Lin Shan. 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 Shan. The network helps show where Lin Shan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Shan, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 257 | |
| 2 | 2019 | 226 | |
| 3 | 2020 | 208 | |
| 4 | 2021 | 124 | |
| 5 | 2006 | 27 | |
| 6 | 2022 | 26 | |
| 7 | 2023 | 24 | |
| 8 | 1991 | 17 | |
| 9 | 2010 | 16 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2025 | 14 | |
| 13 | 2019 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2020 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 4 |
About Lin Shan
Lin Shan is a scholar working on Molecular Biology, Cancer Research, Plant Science, Genetics and Small Animals, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Genetic and phenotypic traits in livestock (3 papers), RNA and protein synthesis mechanisms (3 papers), Animal health and immunology (2 papers), Molecular Sensors and Ion Detection (2 papers) and Light effects on plants (2 papers). The work is most often cited by research in Cancer Research (402 citations), Molecular Biology (802 citations), Structural Biology (6 citations), Aging (6 citations) and Endocrinology (16 citations). Lin Shan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ling‐Ling Chen, Li Yang, Yu‐Hang Xing, Man Wu, Liang-Zhong Yang, Guang Xu, Ying Wang, Yang Wang, Run-Wen Yao and Jun Zhang. Their work appears in journals such as Agronomy, Frontiers in Genetics, Nature Methods, Cell Discovery and Protein & Cell.
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.