Linsen Zan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
Papers in
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- RNA modifications and cancer 15
-
- Cancer-related molecular mechanisms research 42
- MicroRNA in disease regulation 18
- Co-authors
- Sayed Haidar Abbas Raza (72 shared papers)Rajwali Khan (36 shared papers)Chugang Mei (25 shared papers)Gong Cheng (16 shared papers)Nicola M. Schreurs (18 shared papers)Sameh A. Abdelnour (11 shared papers)Wucai Yang (14 shared papers)Xiaoyu Wang (12 shared papers)
- Journals
- Animals (8 papers)Genomics (8 papers)Journal of Agricultural and Food Chemistry (6 papers)Gene (5 papers)Journal of Animal Science (4 papers)
- Partner nations
- ChinaSaudi ArabiaPakistan
In The Last Decade
Linsen Zan
133 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 525
- Animal Science and Zoology 261
- Genetics 593
- Geriatrics and Gerontology 60
- Biochemistry 113
Countries citing papers authored by Linsen Zan
This map shows the geographic impact of Linsen Zan'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 Linsen Zan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linsen Zan more than expected).
Fields of papers citing papers by Linsen Zan
This network shows the impact of papers produced by Linsen Zan. 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 Linsen Zan. The network helps show where Linsen Zan may publish in the future.
Co-authors
The 25 scholars most cited alongside Linsen Zan, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 71 | |
| 2 | 2021 | 58 | |
| 3 | 2009 | 54 | |
| 4 | 2017 | 53 | |
| 5 | 2021 | 47 | |
| 6 | 2020 | 45 | |
| 7 | 2019 | 45 | |
| 8 | 2015 | 42 | |
| 9 | 2019 | 41 | |
| 10 | 2020 | 41 | |
| 11 | 2022 | 38 | |
| 12 | 2019 | 37 | |
| 13 | 2019 | 36 | |
| 14 | 2019 | 34 | |
| 15 | 2020 | 33 | |
| 16 | 2020 | 32 | |
| 17 | 2021 | 32 | |
| 18 | 2019 | 31 | |
| 19 | 2008 | 29 | |
| 20 | 2021 | 29 |
About Linsen Zan
Linsen Zan is a scholar working on Molecular Biology, Cancer Research, Genetics, Physiology and Animal Science and Zoology, having authored 138 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (42 papers), Adipose Tissue and Metabolism (33 papers), Genetic and phenotypic traits in livestock (27 papers), MicroRNA in disease regulation (18 papers), Meat and Animal Product Quality (16 papers), Lipid metabolism and biosynthesis (15 papers), RNA modifications and cancer (15 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). The work is most often cited by research in Cancer Research (525 citations), Animal Science and Zoology (261 citations), Genetics (593 citations), Geriatrics and Gerontology (60 citations) and Biochemistry (113 citations). Linsen Zan has collaborated with scholars based in China, Saudi Arabia and Pakistan. Frequent co-authors include Sayed Haidar Abbas Raza, Rajwali Khan, Chugang Mei, Gong Cheng, Nicola M. Schreurs, Sameh A. Abdelnour, Wucai Yang, Xiaoyu Wang, Shengjuan Wei and Wanqiang Tian. Their work appears in journals such as Animals, Genomics, Journal of Agricultural and Food Chemistry, Gene and Journal of Animal Science.
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.