Weiming Lv
Impact in
- Health Informatics top 5%
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Thyroid Cancer Diagnosis and Treatment 12
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- Spine and Intervertebral Disc Pathology 2
- Co-authors
- Shenming Wang (5 shared papers)Maoguang Ma (5 shared papers)Bo Lin (13 shared papers)Haipeng Xiao (19 shared papers)Mao Ouyang (2 shared papers)Jieyi Ma (2 shared papers)Guangqi Chang (2 shared papers)Nu Zhang (2 shared papers)
- Journals
- Molecular Cancer (2 papers)Annals of Translational Medicine (2 papers)BMC Cancer (2 papers)Oncogene (2 papers)Thyroid (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weiming Lv
42 papers receiving 1.5k citations
Weiming Lv's Hit Papers
Peers
Comparison fields: 5 of 111
- Health Informatics 53
- Cancer Research 418
- Endocrinology, Diabetes and Metabolism 411
- Molecular Biology 594
- Oncology 148
Countries citing papers authored by Weiming Lv
This map shows the geographic impact of Weiming 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 Weiming Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiming Lv more than expected).
Fields of papers citing papers by Weiming Lv
This network shows the impact of papers produced by Weiming 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 Weiming Lv. The network helps show where Weiming Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiming 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study Hit paper breakdown → | 2021 | 267 |
| 2 | 2014 | 167 | |
| 3 | 2020 | 138 | |
| 4 | The incidence and survival analysis for anaplastic thyroid cancer: a SEER database analysis. | 2019 | 113 |
| 5 | 2017 | 94 | |
| 6 | 2021 | 88 | |
| 7 | 2021 | 86 | |
| 8 | 2014 | 77 | |
| 9 | 2009 | 72 | |
| 10 | 2010 | 55 | |
| 11 | 2019 | 32 | |
| 12 | 2022 | 30 | |
| 13 | 2020 | 29 | |
| 14 | Immunotherapy in anaplastic thyroid cancer. | 2020 | 27 |
| 15 | 2019 | 25 | |
| 16 | 2023 | 24 | |
| 17 | 2023 | 22 | |
| 18 | 2022 | 21 | |
| 19 | 2015 | 17 | |
| 20 | 2021 | 15 |
About Weiming Lv
Weiming Lv is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Molecular Biology and Surgery, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (12 papers), Circular RNAs in diseases (3 papers), Aortic aneurysm repair treatments (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers), Spine and Intervertebral Disc Pathology (2 papers) and Adrenal and Paraganglionic Tumors (2 papers). The work is most often cited by research in Health Informatics (53 citations), Cancer Research (418 citations), Endocrinology, Diabetes and Metabolism (411 citations), Molecular Biology (594 citations) and Oncology (148 citations). Weiming Lv has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shenming Wang, Maoguang Ma, Bo Lin, Haipeng Xiao, Mao Ouyang, Jieyi Ma, Guangqi Chang, Nu Zhang, Shubin Hong and Songqi Li. Their work appears in journals such as Molecular Cancer, Annals of Translational Medicine, BMC Cancer, Oncogene and Thyroid.
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.