Qing Lan

11.3k total citations
31 papers, 248 citations indexed

About

Qing Lan is a scholar working on Pathology and Forensic Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Qing Lan has authored 31 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 8 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Qing Lan's work include Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (5 papers). Qing Lan is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (5 papers). Qing Lan collaborates with scholars based in United States, China and France. Qing Lan's co-authors include Nathaniel Rothman, Yawei Zhang, Tongzhang Zheng, Shuangge Ma, Jian Huang, Theodore R. Holford, Jin Liu, Peter Boyle, Brian P. Leaderer and Nathaniel Rothman and has published in prestigious journals such as Bioinformatics, Cancer Research and Biometrics.

In The Last Decade

Qing Lan

26 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Lan United States 11 108 49 48 48 47 31 248
Stefanie Scheid Germany 9 228 2.1× 22 0.4× 34 0.7× 35 0.7× 11 0.2× 14 333
Anne-Marie Lyne France 8 125 1.2× 17 0.3× 41 0.9× 23 0.5× 6 0.1× 14 264
Yabing Huang China 9 124 1.1× 37 0.8× 45 0.9× 17 0.4× 14 0.3× 33 276
Núria Palau Spain 10 143 1.3× 66 1.3× 40 0.8× 61 1.3× 21 0.4× 13 307
Elena Piñeiro-Yáñez Spain 6 122 1.1× 61 1.2× 61 1.3× 19 0.4× 15 0.3× 13 269
Jagtar Singh Nijjar United Kingdom 8 102 0.9× 75 1.5× 25 0.5× 9 0.2× 8 0.2× 14 280
Mykyta Artomov United States 9 157 1.5× 65 1.3× 135 2.8× 84 1.8× 25 0.5× 39 382
Daria Domańska Poland 13 135 1.3× 71 1.4× 68 1.4× 88 1.8× 35 0.7× 18 328
Julie Hunkapiller United States 9 286 2.6× 60 1.2× 91 1.9× 104 2.2× 18 0.4× 12 430
Aparna Chhibber United States 10 197 1.8× 31 0.6× 180 3.8× 117 2.4× 15 0.3× 16 452

Countries citing papers authored by Qing Lan

Since Specialization
Citations

This map shows the geographic impact of Qing 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 Qing Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Lan more than expected).

Fields of papers citing papers by Qing Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing 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 Qing Lan. The network helps show where Qing Lan may publish in the future.

Co-authorship network of co-authors of Qing Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lan. A scholar is included among the top collaborators of Qing Lan 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 Qing Lan. Qing Lan 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
1.
Jackson, Sarah S., Julia M. Francis, Ruth M. Pfeiffer, et al.. (2025). Sex Differences in Anti–Epstein-Barr Virus Antibody Responses. The Journal of Infectious Diseases. 232(4). e671–e675. 2 indexed citations
2.
Wang, Bowen, Yi‐Ming Cheng, Qing Lan, et al.. (2025). PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications. 399–414.
3.
Zhu, Ye, et al.. (2025). STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning. Sensors. 25(2). 310–310. 1 indexed citations
4.
Sun, Zhenjun, Qing Lan, Yulong Zhang, et al.. (2025). Bioinformatics analysis combined with experimental validation reveals the novel mechanisms of multi-targets of dapagliflozin attenuating diabetic liver injury. Frontiers in Endocrinology. 16. 1519153–1519153.
5.
Bassig, Bryan A., Xiao‐Ou Shu, Melissa C. Friesen, et al.. (2024). Occupational exposure to benzene and risk of non‐ Hodgkin lymphoma in an extended follow‐up of two population‐based prospective cohorts of Chinese men and women. International Journal of Cancer. 155(12). 2159–2168.
6.
Lan, Qing, et al.. (2024). Fault Prediction for Rotating Mechanism of Satellite Based on SSA and Improved Informer. Applied Sciences. 14(20). 9412–9412. 3 indexed citations
7.
Wang, Zhengkai, et al.. (2024). A Method for Underwater Acoustic Target Recognition Based on the Delay-Doppler Joint Feature. Remote Sensing. 16(11). 2005–2005. 2 indexed citations
8.
Li, Fangyu, Yukiko Yano, Carrie R. Daniel, et al.. (2023). The association between inflammatory bowel disease and all-cause and cause-specific mortality in the UK Biobank. Annals of Epidemiology. 88. 15–22. 3 indexed citations
9.
Liu, Zhiwei, Andriy Derkach, Kelly J. Yu, et al.. (2020). Patterns of Human Leukocyte Antigen Class I and Class II Associations and Cancer. Cancer Research. 81(4). 1148–1152. 16 indexed citations
10.
Wang, Tao, H. Dean Hosgood, Qing Lan, & Xiaonan Xue. (2018). The Relationship Between Population Attributable Fraction and Heritability in Genetic Studies. Frontiers in Genetics. 9. 352–352. 5 indexed citations
11.
Guo, Huan, Bryan A. Bassig, Qing Lan, et al.. (2014). Polymorphisms in DNA repair genes, hair dye use, and the risk of non-Hodgkin lymphoma. Cancer Causes & Control. 25(10). 1261–1270. 17 indexed citations
12.
Chen, Qiong, Tongzhang Zheng, Qing Lan, et al.. (2013). Single-Nucleotide Polymorphisms in Genes Encoding for CC Chemokines were Not Associated with the Risk of Non-Hodgkin Lymphoma. Cancer Epidemiology Biomarkers & Prevention. 22(7). 1332–1335. 8 indexed citations
13.
Chen, Yingtai, Qing Lan, Tongzhang Zheng, et al.. (2013). Polymorphisms in JAK/STAT signaling pathway genes and risk of non-Hodgkin lymphoma. Leukemia Research. 37(9). 1120–1124. 8 indexed citations
14.
Liu, Jin, Jian Huang, Yawei Zhang, et al.. (2013). Identification of gene–environment interactions in cancer studies using penalization. Genomics. 102(4). 189–194. 40 indexed citations
15.
Jiao, Jie, Tongzhang Zheng, Qing Lan, et al.. (2012). Occupational solvent exposure, genetic variation of DNA repair genes, and the risk of non-Hodgkin’s lymphoma. European Journal of Cancer Prevention. 21(6). 580–584. 18 indexed citations
16.
Bassig, Bryan A., Tongzhang Zheng, Yawei Zhang, et al.. (2011). Polymorphisms in complement system genes and risk of non‐Hodgkin lymphoma. Environmental and Molecular Mutagenesis. 53(2). 145–151. 15 indexed citations
17.
Aschebrook‐Kilfoy, Briseis, Tongzhang Zheng, Francine M. Foss, et al.. (2011). Polymorphisms in immune function genes and non-Hodgkin lymphoma survival. Journal of Cancer Survivorship. 6(1). 102–114. 14 indexed citations
18.
Han, Sohee, Hong Hoe Koo, Qing Lan, et al.. (2011). Common variation in genes related to immune response and risk of childhood leukemia. Human Immunology. 73(3). 316–319. 10 indexed citations
19.
Kilfoy, Briseis A., Tongzhang Zheng, Qing Lan, et al.. (2009). Genetic variation in N-acetyltransferases 1 and 2, cigarette smoking, and risk of non-Hodgkin lymphoma. Cancer Causes & Control. 21(1). 127–133. 9 indexed citations
20.
Lan, Qing. (2003). Distribution Characteristics of Loess Disasters in Shanxi, Caused by Historical Earthquakes. 1 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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