Lin‐Li Lv
- Nephrology top 0.2%
- Chronic Kidney Disease and Diabetes 22
- Renal Diseases and Glomerulopathies 20
- Acute Kidney Injury Research 14
- Parathyroid Disorders and Treatments 6
- Cancer Research top 1%
- MicroRNA in disease regulation 9
- Molecular Biology top 2%
- Extracellular vesicles in disease 33
- Inflammasome and immune disorders 11
- Renal and related cancers 10
- Immunology top 5%
- Obstetrics and Gynecology top 5%
- Journals
- Nephrology Dialysis Transplantation (6 papers)Journal of Cellular Biochemistry (5 papers)Advances in experimental medicine and biology (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lin‐Li Lv
107 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Nephrology 1.7k
- Cancer Research 1.2k
- Molecular Biology 3.3k
- Immunology 720
- Obstetrics and Gynecology 177
Countries citing papers authored by Lin‐Li Lv
This map shows the geographic impact of Lin‐Li 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 Lin‐Li Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin‐Li Lv more than expected).
Fields of papers citing papers by Lin‐Li Lv
This network shows the impact of papers produced by Lin‐Li 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 Lin‐Li Lv. The network helps show where Lin‐Li Lv may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lin‐Li 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 14 | |
| 6 | 2021 | 31 | |
| 7 | Exosomal miR-125b-5p deriving from mesenchymal stem cells promotes tubular repair by suppression of p53 in ischemic acute kidney injurybreakdown → | 2021 | 217 |
| 8 | 2021 | 19 | |
| 9 | 2020 | 18 | |
| 10 | Exosomal miRNA-19b-3p of tubular epithelial cells promotes M1 macrophage activation in kidney injurybreakdown → | 2019 | 314 |
| 11 | 2019 | 4 | |
| 12 | 2018 | 63 | |
| 13 | Renal tubule injury: a driving force toward chronic kidney diseasebreakdown → | 2018 | 650 |
| 14 | 2017 | 23 | |
| 15 | 2015 | 1 | |
| 16 | 2015 | 65 | |
| 17 | 2013 | 56 | |
| 18 | 2013 | 169 | |
| 19 | 2011 | 47 | |
| 20 | 2010 | 47 |
About Lin‐Li Lv
Lin‐Li Lv is a scholar working on Nephrology, Cancer Research and Molecular Biology, having authored 109 papers that have together received 5.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (33 papers), Chronic Kidney Disease and Diabetes (22 papers), Renal Diseases and Glomerulopathies (20 papers), Acute Kidney Injury Research (14 papers), Inflammasome and immune disorders (11 papers), Renal and related cancers (10 papers), MicroRNA in disease regulation (9 papers) and Parathyroid Disorders and Treatments (6 papers). The work is most often cited by research in Nephrology (1.7k citations), Cancer Research (1.2k citations) and Molecular Biology (3.3k citations). Lin‐Li Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bi‐Cheng Liu, Tao‐Tao Tang, Hui Y. Lan, Ri‐Ning Tang, Zuo‐Lin Li, Kun‐Ling Ma, Min Wu, Jing-Yuan Cao, Yi Wen and Bin Wang. Their work appears in journals such as Nephrology Dialysis Transplantation, Journal of Cellular Biochemistry, Advances in experimental medicine and biology, Acta Pharmacologica Sinica and American Journal of Physiology-Renal Physiology.
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.