Lan He
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Aging top 5%
Papers in
- Rheumatology 17
- Systemic Lupus Erythematosus Research 13
- Rheumatoid Arthritis Research and Therapies 3
- Co-authors
- Yanqi Huang (16 shared papers)Changhong Liang (12 shared papers)Zaiyi Liu (14 shared papers)Cuishan Liang (8 shared papers)Zelan Ma (8 shared papers)Jie Tian (3 shared papers)Xin Chen (5 shared papers)Xin Chen (2 shared papers)
- Journals
- Clinical Rheumatology (5 papers)BioMed Research International (3 papers)PLoS ONE (3 papers)Medicine (3 papers)International Immunopharmacology (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lan He
86 papers receiving 4.0k citations
Lan He's Hit Papers
Peers
Comparison fields: 5 of 121
- Radiology, Nuclear Medicine and Imaging 1.2k
- Aging 54
- Endocrine and Autonomic Systems 156
- Health Informatics 32
- Otorhinolaryngology 82
Countries citing papers authored by Lan He
This map shows the geographic impact of Lan He'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 Lan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan He more than expected).
Fields of papers citing papers by Lan He
This network shows the impact of papers produced by Lan He. 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 Lan He. The network helps show where Lan He may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan He, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer Hit paper breakdown → | 2016 | 1370 |
| 2 | Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer Hit paper breakdown → | 2016 | 599 |
| 3 | 2014 | 166 | |
| 4 | 2016 | 142 | |
| 5 | 2017 | 114 | |
| 6 | 2016 | 102 | |
| 7 | 2012 | 96 | |
| 8 | 2017 | 95 | |
| 9 | 2018 | 84 | |
| 10 | 2006 | 74 | |
| 11 | 2013 | 64 | |
| 12 | 2008 | 57 | |
| 13 | 2018 | 53 | |
| 14 | 2021 | 52 | |
| 15 | 2020 | 51 | |
| 16 | 2014 | 46 | |
| 17 | 2016 | 42 | |
| 18 | 2008 | 39 | |
| 19 | 2019 | 34 | |
| 20 | 2016 | 32 |
About Lan He
Lan He is a scholar working on Rheumatology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Epidemiology, having authored 89 papers that have together received 4.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Adipose Tissue and Metabolism (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Aging (54 citations), Endocrine and Autonomic Systems (156 citations), Health Informatics (32 citations) and Otorhinolaryngology (82 citations). Lan He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yanqi Huang, Changhong Liang, Zaiyi Liu, Cuishan Liang, Zelan Ma, Jie Tian, Xin Chen, Xin Chen, Dan Pan and Juliana C.N. Chan. Their work appears in journals such as Clinical Rheumatology, BioMed Research International, PLoS ONE, Medicine and International Immunopharmacology.
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.