Nian Lu
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Head and Neck Cancer Studies 18
- Oncology 6
- Cancer Immunotherapy and Biomarkers 3
- Lung Cancer Research Studies 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Yan‐Qun Xiang (13 shared papers)Wei‐Xiong Xia (14 shared papers)Guoying Liu (14 shared papers)Chuanmiao Xie (8 shared papers)Wang‐Zhong Li (12 shared papers)Hu L (9 shared papers)Weijing Zhang (3 shared papers)Shu‐Hui Lv (5 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Journal of Clinical Oncology (2 papers)Annals of Oncology (2 papers)Frontiers in Immunology (2 papers)European Journal of Radiology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Nian Lu
33 papers receiving 315 citations
Peers
Comparison fields: 5 of 37
- Otorhinolaryngology 80
- Radiology, Nuclear Medicine and Imaging 96
- Oncology 69
- Cancer Research 34
- Pulmonary and Respiratory Medicine 41
Countries citing papers authored by Nian Lu
This map shows the geographic impact of Nian Lu'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 Nian Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nian Lu more than expected).
Fields of papers citing papers by Nian Lu
This network shows the impact of papers produced by Nian Lu. 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 Nian Lu. The network helps show where Nian Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nian Lu, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 52 | |
| 2 | 2021 | 30 | |
| 3 | 2022 | 25 | |
| 4 | 2024 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2022 | 19 | |
| 7 | 2019 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2024 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2000 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 3 |
About Nian Lu
Nian Lu is a scholar working on Otorhinolaryngology, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery, having authored 34 papers that have together received 318 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (18 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Research Studies (2 papers), Peptidase Inhibition and Analysis (2 papers), Medical Imaging Techniques and Applications (2 papers) and Endometrial and Cervical Cancer Treatments (1 paper). The work is most often cited by research in Otorhinolaryngology (80 citations), Radiology, Nuclear Medicine and Imaging (96 citations), Oncology (69 citations), Cancer Research (34 citations) and Pulmonary and Respiratory Medicine (41 citations). Nian Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yan‐Qun Xiang, Wei‐Xiong Xia, Guoying Liu, Chuanmiao Xie, Wang‐Zhong Li, Hu L, Weijing Zhang, Shu‐Hui Lv, Shaohan Yin and Minghao Wu. Their work appears in journals such as Frontiers in Oncology, Journal of Clinical Oncology, Annals of Oncology, Frontiers in Immunology and European Journal of Radiology.
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.