Xiaofei Lv
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 16
- Glioma Diagnosis and Treatment 16
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- Head and Neck Cancer Studies 11
- Co-authors
- Yingwei Qiu (28 shared papers)Huanhuan Su (14 shared papers)Junzhang Tian (13 shared papers)Tian-Zhi Yang (2 shared papers)Ye Tang (2 shared papers)Bin Ma (10 shared papers)Lujun Han (13 shared papers)Guihua Jiang (11 shared papers)
- Journals
- European Radiology (8 papers)Journal of Magnetic Resonance Imaging (6 papers)Brain Imaging and Behavior (5 papers)Radiotherapy and Oncology (4 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaofei Lv
121 papers receiving 3.1k citations
Xiaofei Lv's Hit Papers
Peers
Comparison fields: 5 of 154
- Otorhinolaryngology 136
- Genetics 340
- Radiology, Nuclear Medicine and Imaging 521
- Cognitive Neuroscience 285
- Soil Science 133
Countries citing papers authored by Xiaofei Lv
This map shows the geographic impact of Xiaofei 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 Xiaofei Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Lv more than expected).
Fields of papers citing papers by Xiaofei Lv
This network shows the impact of papers produced by Xiaofei 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 Xiaofei Lv. The network helps show where Xiaofei Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofei 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 122 | |
| 2 | 2021 | 106 | |
| 3 | 2016 | 102 | |
| 4 | 2023 | 97 | |
| 5 | 2017 | 88 | |
| 6 | 2018 | 81 | |
| 7 | 2018 | 79 | |
| 8 | 2011 | 78 | |
| 9 | 2018 | 78 | |
| 10 | 2021 | 71 | |
| 11 | 2021 | 63 | |
| 12 | 2014 | 63 | |
| 13 | 2011 | 59 | |
| 14 | Biogeographic patterns and drivers of soil viromes Hit paper breakdown → | 2024 | 59 |
| 15 | 2024 | 53 | |
| 16 | 2017 | 52 | |
| 17 | 2013 | 52 | |
| 18 | 2013 | 52 | |
| 19 | 2011 | 47 | |
| 20 | 2019 | 44 |
About Xiaofei Lv
Xiaofei Lv is a scholar working on Genetics, Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 125 papers that have together received 3.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Head and Neck Cancer Studies (11 papers), Advanced MRI Techniques and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Functional Brain Connectivity Studies (7 papers), Fluid Dynamics and Mixing (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Brain Metastases and Treatment (5 papers). The work is most often cited by research in Otorhinolaryngology (136 citations), Genetics (340 citations), Radiology, Nuclear Medicine and Imaging (521 citations), Cognitive Neuroscience (285 citations) and Soil Science (133 citations). Xiaofei Lv has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yingwei Qiu, Huanhuan Su, Junzhang Tian, Tian-Zhi Yang, Ye Tang, Bin Ma, Lujun Han, Guihua Jiang, Jianming M. Xu and Yinsheng Chen. Their work appears in journals such as European Radiology, Journal of Magnetic Resonance Imaging, Brain Imaging and Behavior, Radiotherapy and Oncology and PLoS ONE.
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.