Jian‐Min Lv
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Biomarkers in Disease Mechanisms
Papers in
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- Lipid Membrane Structure and Behavior 3
- Inflammasome and immune disorders 2
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- Adipokines, Inflammation, and Metabolic Diseases 6
- Co-authors
- Shang‐Rong Ji (6 shared papers)Mingyu Wang (2 shared papers)Xiuwu Pan (7 shared papers)Yi Wu (4 shared papers)Yi Gao (4 shared papers)Fajun Qu (5 shared papers)Danfeng Xu (5 shared papers)Xi Liu (4 shared papers)
- Journals
- Scientific Reports (1 paper)Cancer Cell International (1 paper)PLoS ONE (1 paper)BMJ Open (1 paper)Protein Science (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jian‐Min Lv
23 papers receiving 313 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 51
- Immunology 59
- Epidemiology 74
- Molecular Biology 138
- Pulmonary and Respiratory Medicine 58
Countries citing papers authored by Jian‐Min Lv
This map shows the geographic impact of Jian‐Min 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 Jian‐Min Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian‐Min Lv more than expected).
Fields of papers citing papers by Jian‐Min Lv
This network shows the impact of papers produced by Jian‐Min 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 Jian‐Min Lv. The network helps show where Jian‐Min Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Jian‐Min 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 50 | |
| 2 | 2017 | 32 | |
| 3 | 2021 | 28 | |
| 4 | 2018 | 24 | |
| 5 | 2023 | 23 | |
| 6 | 2017 | 22 | |
| 7 | 2018 | 19 | |
| 8 | 2018 | 15 | |
| 9 | 2018 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2023 | 8 | |
| 14 | 2017 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2025 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2009 | 4 | |
| 20 | 2019 | 3 |
About Jian‐Min Lv
Jian‐Min Lv is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Cell Biology and Materials Chemistry, having authored 26 papers that have together received 315 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Lipid Membrane Structure and Behavior (3 papers), Enzyme Structure and Function (2 papers), Blood properties and coagulation (2 papers), Inflammasome and immune disorders (2 papers), Alzheimer's disease research and treatments (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Biomarkers in Disease Mechanisms (1 paper). The work is most often cited by research in Cancer Research (51 citations), Immunology (59 citations), Epidemiology (74 citations), Molecular Biology (138 citations) and Pulmonary and Respiratory Medicine (58 citations). Jian‐Min Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shang‐Rong Ji, Mingyu Wang, Xiuwu Pan, Yi Wu, Yi Gao, Fajun Qu, Danfeng Xu, Xi Liu, Haiyun Li and Xingang Cui. Their work appears in journals such as Scientific Reports, Cancer Cell International, PLoS ONE, BMJ Open and Protein 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.