Liting Lv
Impact in
-
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
-
- Lung Cancer Research Studies
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
Papers in
- Oncology 11
- Lung Cancer Research Studies 8
- Cancer-related Molecular Pathways 2
- Cancer Immunotherapy and Biomarkers 1
-
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Runzhou Ni (9 shared papers)Guoxin Mao (9 shared papers)Buyou Chen (9 shared papers)Qun Xue (9 shared papers)Tingting Ni (7 shared papers)Chunhua Wan (5 shared papers)Yifei Liu (6 shared papers)Guinv Hu (4 shared papers)
- Journals
- Pathology & Oncology Research (2 papers)Journal of Molecular Histology (2 papers)Journal of Cancer Research and Clinical Oncology (2 papers)Translational Lung Cancer Research (2 papers)Molecular and Cellular Biochemistry (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Liting Lv
27 papers receiving 501 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 107
- Oncology 100
- Hepatology 35
- Pulmonary and Respiratory Medicine 80
- Molecular Biology 151
Countries citing papers authored by Liting Lv
This map shows the geographic impact of Liting 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 Liting Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liting Lv more than expected).
Fields of papers citing papers by Liting Lv
This network shows the impact of papers produced by Liting 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 Liting Lv. The network helps show where Liting Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Liting 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 53 | |
| 2 | 2017 | 40 | |
| 3 | 2013 | 38 | |
| 4 | 2015 | 35 | |
| 5 | 2021 | 32 | |
| 6 | 2013 | 31 | |
| 7 | 2013 | 28 | |
| 8 | 2013 | 28 | |
| 9 | 2014 | 27 | |
| 10 | 2019 | 24 | |
| 11 | 2014 | 19 | |
| 12 | 2019 | 17 | |
| 13 | 2013 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2013 | 15 | |
| 16 | 2024 | 15 | |
| 17 | 2014 | 13 | |
| 18 | 2014 | 12 | |
| 19 | 2014 | 10 | |
| 20 | 2023 | 8 |
About Liting Lv
Liting Lv is a scholar working on Oncology, Cancer Research, Hepatology, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 27 papers that have together received 509 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (8 papers), Lung Cancer Treatments and Mutations (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Cancer-related Molecular Pathways (2 papers), Gastric Cancer Management and Outcomes (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Pesticide Exposure and Toxicity (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Cancer Research (107 citations), Oncology (100 citations), Hepatology (35 citations), Pulmonary and Respiratory Medicine (80 citations) and Molecular Biology (151 citations). Liting Lv has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Runzhou Ni, Guoxin Mao, Buyou Chen, Qun Xue, Tingting Ni, Chunhua Wan, Yifei Liu, Guinv Hu, Yanhua Liu and Song He. Their work appears in journals such as Pathology & Oncology Research, Journal of Molecular Histology, Journal of Cancer Research and Clinical Oncology, Translational Lung Cancer Research and Molecular and Cellular Biochemistry.
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.