Min Lan
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Surgery 8
- Total Knee Arthroplasty Outcomes 5
- Knee injuries and reconstruction techniques 4
- Shoulder Injury and Treatment 2
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- Circular RNAs in diseases 4
- Co-authors
- Zhiming Tang (4 shared papers)Jiaming Liu (4 shared papers)Shan-Hu Huang (3 shared papers)Wenzhao Chen (2 shared papers)Zhili Liu (3 shared papers)Hongbo Li (3 shared papers)Yufeng Li (2 shared papers)Juan Bai (2 shared papers)
- Journals
- BMC Musculoskeletal Disorders (2 papers)Veterinary Microbiology (2 papers)Neurochemical Research (1 paper)World Neurosurgery (1 paper)Technology in Cancer Research & Treatment (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Min Lan
20 papers receiving 323 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 83
- Physiology 13
- Oncology 70
- Geriatrics and Gerontology 10
- Orthopedics and Sports Medicine 22
Countries citing papers authored by Min Lan
This map shows the geographic impact of Min 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 Min Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Lan more than expected).
Fields of papers citing papers by Min Lan
This network shows the impact of papers produced by Min 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 Min Lan. The network helps show where Min Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 48 | |
| 2 | 2019 | 42 | |
| 3 | 2020 | 28 | |
| 4 | 2017 | 25 | |
| 5 | 2019 | 23 | |
| 6 | 2023 | 19 | |
| 7 | 2020 | 18 | |
| 8 | 2017 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2011 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2020 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2019 | 7 | |
| 17 | 2021 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2017 | 1 | |
| 20 | 2024 | 1 |
About Min Lan
Min Lan is a scholar working on Surgery, Molecular Biology, Epidemiology, Cancer Research and Oncology, having authored 20 papers that have together received 329 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Knee injuries and reconstruction techniques (4 papers), Bone health and treatments (3 papers), Medical Imaging and Pathology Studies (2 papers), Cancer-related molecular mechanisms research (2 papers) and Shoulder Injury and Treatment (2 papers). The work is most often cited by research in Cancer Research (83 citations), Physiology (13 citations), Oncology (70 citations), Geriatrics and Gerontology (10 citations) and Orthopedics and Sports Medicine (22 citations). Min Lan has collaborated with scholars based in China and United States. Frequent co-authors include Zhiming Tang, Jiaming Liu, Shan-Hu Huang, Wenzhao Chen, Zhili Liu, Hongbo Li, Yufeng Li, Juan Bai, Hongbo Li and Ping Huang. Their work appears in journals such as BMC Musculoskeletal Disorders, Veterinary Microbiology, Neurochemical Research, World Neurosurgery and Technology in Cancer Research & Treatment.
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.