Bin Lan
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
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- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 7
- Pancreatic and Hepatic Oncology Research 5
- Global Cancer Incidence and Screening 1
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Christian P. Pilarsky (5 shared papers)Robert Grützmann (5 shared papers)Hai Yang (2 shared papers)Marina Pöttler (1 shared paper)XueQian Wang (7 shared papers)Zihong Lu (2 shared papers)Bin Liang (1 shared paper)Bin Liang (2 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Frontiers in bioscience (2 papers)Oncotarget (1 paper)Frontiers in Oncology (1 paper)Frontiers in Medicine (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Bin Lan
25 papers receiving 948 citations
Bin Lan's Hit Papers
Peers
Comparison fields: 5 of 66
- Oncology 357
- Cancer Research 93
- Computer Vision and Pattern Recognition 106
- Molecular Biology 258
- Biomaterials 38
Countries citing papers authored by Bin Lan
This map shows the geographic impact of Bin Lan'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 Bin Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Lan more than expected).
Fields of papers citing papers by Bin Lan
This network shows the impact of papers produced by Bin Lan. 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 Bin Lan. The network helps show where Bin Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Lan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chemoresistance in Pancreatic Cancer Hit paper breakdown → | 2019 | 494 |
| 2 | 2015 | 88 | |
| 3 | 2023 | 84 | |
| 4 | 2019 | 81 | |
| 5 | 2022 | 62 | |
| 6 | 2016 | 31 | |
| 7 | 2017 | 23 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2006 | 11 | |
| 11 | 2014 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2021 | 1 |
About Bin Lan
Bin Lan is a scholar working on Oncology, Aerospace Engineering, Computer Vision and Pattern Recognition, Hepatology and Control and Systems Engineering, having authored 28 papers that have together received 964 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Robotics and Sensor-Based Localization (4 papers), Robotic Path Planning Algorithms (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Soft Robotics and Applications (2 papers), Robotic Mechanisms and Dynamics (2 papers), Microtubule and mitosis dynamics (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Oncology (357 citations), Cancer Research (93 citations), Computer Vision and Pattern Recognition (106 citations), Molecular Biology (258 citations) and Biomaterials (38 citations). Bin Lan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Christian P. Pilarsky, Robert Grützmann, Hai Yang, Marina Pöttler, XueQian Wang, Zihong Lu, Bin Liang, Bin Liang, Bingya Liu and Dong Lu. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in bioscience, Oncotarget, Frontiers in Oncology and Frontiers in 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.