Linlin Lv
Impact in
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- Cancer, Hypoxia, and Metabolism
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- Phytochemical Studies and Bioactivities
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- Natural product bioactivities and synthesis
Papers in
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- Ubiquitin and proteasome pathways 4
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 2
- Oncology 7
- Pancreatic and Hepatic Oncology Research 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Deshi Dong (12 shared papers)Xiaohan Zhai (7 shared papers)Huijian Wu (8 shared papers)Xufeng Tao (6 shared papers)Hong Xiang (5 shared papers)Lianhong Yin (1 shared paper)Lina Xu (1 shared paper)Lingli Zheng (1 shared paper)
- Journals
- Biomedicine & Pharmacotherapy (3 papers)Cell Death Discovery (2 papers)Frontiers in Oncology (2 papers)RSC Advances (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- China
In The Last Decade
Linlin Lv
29 papers receiving 474 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 65
- Molecular Biology 227
- Oncology 82
- Toxicology 10
- Pharmacology 23
Countries citing papers authored by Linlin Lv
This map shows the geographic impact of Linlin Lv'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 Linlin Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linlin Lv more than expected).
Fields of papers citing papers by Linlin Lv
This network shows the impact of papers produced by Linlin Lv. 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 Linlin Lv. The network helps show where Linlin Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Linlin Lv, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 103 | |
| 2 | 2022 | 46 | |
| 3 | 2023 | 45 | |
| 4 | 2023 | 39 | |
| 5 | 2022 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2023 | 21 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2013 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2023 | 8 | |
| 19 | 2009 | 8 | |
| 20 | 2021 | 7 |
About Linlin Lv
Linlin Lv is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Surgery, having authored 31 papers that have together received 483 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Cancer-related gene regulation (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immune cells in cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Pancreatitis Pathology and Treatment (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (65 citations), Molecular Biology (227 citations), Oncology (82 citations), Toxicology (10 citations) and Pharmacology (23 citations). Linlin Lv has collaborated with scholars based in China. Frequent co-authors include Deshi Dong, Xiaohan Zhai, Huijian Wu, Xufeng Tao, Hong Xiang, Lianhong Yin, Lina Xu, Lingli Zheng, Xu Han and Jinyong Peng. Their work appears in journals such as Biomedicine & Pharmacotherapy, Cell Death Discovery, Frontiers in Oncology, RSC Advances and Cell Death and Disease.
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.