Mengping Long
Impact in
-
- Liver Disease and Transplantation
-
- Breast Cancer Treatment Studies
Papers in
- Oncology 10
- HER2/EGFR in Cancer Research 4
- Co-authors
- Taobo Hu (23 shared papers)Gary W. Ellison (1 shared paper)Yiqiang Liu (16 shared papers)Toyotaka Ishibashi (2 shared papers)Junmi Lu (2 shared papers)Manjinder S. Cheema (1 shared paper)Sophia Leung (1 shared paper)Yan Yan (1 shared paper)
- Journals
- Life (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Technology in Cancer Research & Treatment (1 paper)International Journal of Environmental Research and Public Health (1 paper)Annals of Translational Medicine (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Mengping Long
31 papers receiving 329 citations
Peers
Comparison fields: 5 of 71
- Hepatology 50
- Cancer Research 64
- Oncology 70
- Health Informatics 3
- Molecular Biology 150
Countries citing papers authored by Mengping Long
This map shows the geographic impact of Mengping Long'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 Mengping Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengping Long more than expected).
Fields of papers citing papers by Mengping Long
This network shows the impact of papers produced by Mengping Long. 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 Mengping Long. The network helps show where Mengping Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengping Long, 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 | 2019 | 58 | |
| 2 | 2001 | 55 | |
| 3 | 2020 | 31 | |
| 4 | 2022 | 27 | |
| 5 | 2021 | 17 | |
| 6 | 2013 | 16 | |
| 7 | Detection and application of circulating tumor cell and circulating tumor DNA in the non-small cell lung cancer. | 2018 | 14 |
| 8 | 2022 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2018 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Mengping Long
Mengping Long is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 333 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), AI in cancer detection (6 papers), HER2/EGFR in Cancer Research (4 papers), Digital Imaging for Blood Diseases (3 papers), Medical Image Segmentation Techniques (3 papers), Breast Lesions and Carcinomas (3 papers), Cell Image Analysis Techniques (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Hepatology (50 citations), Cancer Research (64 citations), Oncology (70 citations), Health Informatics (3 citations) and Molecular Biology (150 citations). Mengping Long has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Taobo Hu, Gary W. Ellison, Yiqiang Liu, Toyotaka Ishibashi, Junmi Lu, Manjinder S. Cheema, Sophia Leung, Yan Yan, Shu Wang and Yanru An. Their work appears in journals such as Life, IEEE Journal of Biomedical and Health Informatics, Technology in Cancer Research & Treatment, International Journal of Environmental Research and Public Health and Annals of Translational Medicine.
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.