Yaping Luo
Impact in
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Pancreatic and Hepatic Oncology Research
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
Papers in
- Oncology 45
- Peptidase Inhibition and Analysis 24
- Pancreatic and Hepatic Oncology Research 9
- Epidemiology 29
- Neuroendocrine Tumor Research Advances 24
- Co-authors
- Qingqing Pan (47 shared papers)Wen Zhang (6 shared papers)Xinxin Cao (19 shared papers)Huaxia Yang (5 shared papers)Li J (12 shared papers)Fang Li (11 shared papers)Fang Li (4 shared papers)Linyi Peng (3 shared papers)
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (6 papers)Medicine (4 papers)Journal of Nuclear Medicine (4 papers)Clinical Nuclear Medicine (31 papers)EJNMMI Research (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yaping Luo
74 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 62
- Oncology 700
- Cancer Research 238
- Rheumatology 147
- Neurology 145
- Epidemiology 302
Countries citing papers authored by Yaping Luo
This map shows the geographic impact of Yaping Luo'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 Yaping Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Luo more than expected).
Fields of papers citing papers by Yaping Luo
This network shows the impact of papers produced by Yaping Luo. 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 Yaping Luo. The network helps show where Yaping Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaping Luo, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 137 | |
| 2 | 2016 | 120 | |
| 3 | 2019 | 66 | |
| 4 | 2020 | 66 | |
| 5 | 2020 | 59 | |
| 6 | 2019 | 48 | |
| 7 | 2023 | 45 | |
| 8 | 2019 | 44 | |
| 9 | 2018 | 43 | |
| 10 | 2020 | 40 | |
| 11 | 2014 | 37 | |
| 12 | 2020 | 33 | |
| 13 | 2021 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2020 | 19 | |
| 16 | 2018 | 17 | |
| 17 | 2018 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2021 | 14 | |
| 20 | 2024 | 13 |
About Yaping Luo
Yaping Luo is a scholar working on Oncology, Epidemiology, Molecular Biology, Neurology and Pathology and Forensic Medicine, having authored 81 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (24 papers), Neuroendocrine Tumor Research Advances (24 papers), Lymphoma Diagnosis and Treatment (15 papers), IgG4-Related and Inflammatory Diseases (12 papers), Pancreatic and Hepatic Oncology Research (9 papers), Protease and Inhibitor Mechanisms (9 papers), CNS Lymphoma Diagnosis and Treatment (8 papers) and Multiple Myeloma Research and Treatments (7 papers). The work is most often cited by research in Oncology (700 citations), Cancer Research (238 citations), Rheumatology (147 citations), Neurology (145 citations) and Epidemiology (302 citations). Yaping Luo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingqing Pan, Wen Zhang, Xinxin Cao, Huaxia Yang, Li J, Fang Li, Fang Li, Linyi Peng, Fang Li and Wen Zhang. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Medicine, Journal of Nuclear Medicine, Clinical Nuclear Medicine and EJNMMI Research.
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.