Lan He

5.6k total citations · 2 hit papers
88 papers, 3.9k citations indexed

About

Lan He is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lan He has authored 88 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Rheumatology, 18 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lan He's work include Systemic Lupus Erythematosus Research (17 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Lan He is often cited by papers focused on Systemic Lupus Erythematosus Research (17 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). Lan He collaborates with scholars based in China, Hong Kong and United States. Lan He's co-authors include Yanqi Huang, Changhong Liang, Zaiyi Liu, Cuishan Liang, Zelan Ma, Jie Tian, Xin Chen, Dan Pan, Xin Chen and Juliana C.N. Chan and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Diabetes.

In The Last Decade

Lan He

84 papers receiving 3.9k citations

Hit Papers

Development and Validation of a Radiomics Nomogram for Pr... 2016 2026 2019 2022 2016 2016 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lan He China 25 2.2k 1.1k 826 568 552 88 3.9k
Balaji Tamarappoo United States 40 2.5k 1.1× 750 0.7× 159 0.2× 1.5k 2.6× 871 1.6× 140 5.3k
Wenhui Huang China 24 966 0.4× 592 0.6× 223 0.3× 253 0.4× 202 0.4× 91 2.1k
Puneeth Iyengar United States 37 1.3k 0.6× 3.1k 2.9× 2.2k 2.6× 977 1.7× 227 0.4× 163 7.8k
Hong Yang China 30 419 0.2× 404 0.4× 349 0.4× 386 0.7× 123 0.2× 177 3.5k
Shou‐Jen Kuo Taiwan 31 350 0.2× 515 0.5× 370 0.4× 895 1.6× 188 0.3× 103 3.2k
Thomas B. Julian United States 39 1.4k 0.6× 844 0.8× 3.0k 3.6× 3.3k 5.8× 222 0.4× 164 9.3k
Chiung‐Nien Chen Taiwan 36 312 0.1× 508 0.5× 529 0.6× 737 1.3× 181 0.3× 124 3.4k
Ning Cheung Singapore 48 7.1k 3.2× 392 0.4× 188 0.2× 334 0.6× 189 0.3× 108 11.2k
Tom Boterberg Belgium 36 841 0.4× 1.3k 1.2× 1.2k 1.5× 1.1k 2.0× 163 0.3× 167 4.2k
Michiel Voskuil Netherlands 34 1.1k 0.5× 430 0.4× 160 0.2× 1.6k 2.8× 230 0.4× 149 3.5k

Countries citing papers authored by Lan He

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lan He

This figure shows the co-authorship network connecting the top 25 collaborators of Lan He. A scholar is included among the top collaborators of Lan He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lan He. Lan He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Luo, Jing, Jing Zhang, Nan Hu, et al.. (2024). Type I interferon-stimulated genes predict clinical response to belimumab in systemic lupus erythematosus. European Journal of Pharmacology. 987. 177204–177204. 3 indexed citations
4.
Zhang, Peng, Lei Wang, Jing Zhang, et al.. (2024). Role of AhR-Hsp90-MDM2-mediated VDR ubiquitination in PM2.5-induced renal toxicity. Environmental Research. 263(Pt 2). 120174–120174. 2 indexed citations
5.
Li, Jinhui, et al.. (2022). Relationship between serum insulin-like growth factor 1 levels and ischaemic stroke: a systematic review and meta-analysis. BMJ Open. 12(6). e045776–e045776. 10 indexed citations
6.
Huang, Jing, Peng Zhang, Qi An, Lan He, & Lei Wang. (2022). New insights into the treatment mechanisms of Vitamin D on PM2.5-induced toxicity and inflammation in mouse renal tubular epithelial cells. International Immunopharmacology. 108. 108747–108747. 8 indexed citations
7.
Hu, Nan, Jian Wang, Yan Qiang, et al.. (2020). Assessment of bone metabolism and quality of life in knee osteoarthritis patients with low bone mineral density. Osteoarthritis and Cartilage. 28. S433–S433.
8.
Wu, Xiaomei, Yajun Li, Xin Chen, et al.. (2020). Deep Learning Features Improve the Performance of a Radiomics Signature for Predicting KRAS Status in Patients with Colorectal Cancer. Academic Radiology. 27(11). e254–e262. 48 indexed citations
10.
Huang, Xiaomei, Zixuan Cheng, Yanqi Huang, et al.. (2018). CT-based Radiomics Signature to Discriminate High-grade From Low-grade Colorectal Adenocarcinoma. Academic Radiology. 25(10). 1285–1297. 50 indexed citations
11.
Liang, Cuishan, Yanqi Huang, Lan He, et al.. (2018). An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer. Academic Radiology. 25(9). 1111–1117. 82 indexed citations
12.
He, Lan, Yanqi Huang, Zelan Ma, et al.. (2017). A CT-based radiomics analysis for clinical staging of non-small cell lung cancer. Zhonghua fangshexian yixue zazhi. 51(12). 906–911. 3 indexed citations
13.
Huang, Yanqi, Changhong Liang, Lan He, et al.. (2016). Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer. Journal of Clinical Oncology. 34(18). 2157–2164. 1347 indexed citations breakdown →
14.
Qiao, Yong-chao, Jian Shen, Lan He, et al.. (2016). Changes of Regulatory T Cells and of Proinflammatory and Immunosuppressive Cytokines in Patients with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis. Journal of Diabetes Research. 2016. 1–19. 99 indexed citations
15.
Collins, Helen E., Lan He, Luyun Zou, et al.. (2014). Stromal interaction molecule 1 is essential for normal cardiac homeostasis through modulation of ER and mitochondrial function. American Journal of Physiology-Heart and Circulatory Physiology. 306(8). H1231–H1239. 46 indexed citations
16.
He, Lan, Chun Kwok Wong, Hai‐Lu Zhao, et al.. (2013). Anti‐inflammatory effects of exendin‐4, a glucagon‐like peptide‐1 analog, on human peripheral lymphocytes in patients with type 2 diabetes. Journal of Diabetes Investigation. 4(4). 382–392. 61 indexed citations
17.
Sui, Yi, Kevin Y. Yip, Stephen Kwok‐Wing Tsui, et al.. (2012). Sustained Antidiabetic Effects of a Berberine-Containing Chinese Herbal Medicine Through Regulation of Hepatic Gene Expression. Diabetes. 61(4). 933–943. 95 indexed citations
18.
Fan, Rongrong, Zhanfang Kang, Lan He, Juliana C.N. Chan, & Gang Xu. (2011). Exendin-4 Improves Blood Glucose Control in Both Young and Aging Normal Non-Diabetic Mice, Possible Contribution of Beta Cell Independent Effects. PLoS ONE. 6(5). e20443–e20443. 29 indexed citations
19.
Guan, Jian‐Long, Hai‐Lu Zhao, Larry Baum, et al.. (2009). Apolipoprotein E polymorphism and expression in type 2 diabetic patients with nephropathy: clinicopathological correlation. Nephrology Dialysis Transplantation. 24(6). 1889–1895. 18 indexed citations
20.
Zhao, Hai‐Lu, Yi Sui, Jing Guan, et al.. (2008). Higher Islet Amyloid Load in Men Than in Women With Type 2 Diabetes Mellitus. Pancreas. 37(3). e68–e73. 13 indexed citations

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.

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