Qi Long

6.0k total citations · 1 hit paper
191 papers, 3.3k citations indexed

About

Qi Long is a scholar working on Molecular Biology, Statistics and Probability and Oncology. According to data from OpenAlex, Qi Long has authored 191 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 41 papers in Statistics and Probability and 23 papers in Oncology. Recurrent topics in Qi Long's work include Statistical Methods and Inference (32 papers), Gene expression and cancer classification (27 papers) and Bioinformatics and Genomic Networks (25 papers). Qi Long is often cited by papers focused on Statistical Methods and Inference (32 papers), Gene expression and cancer classification (27 papers) and Bioinformatics and Genomic Networks (25 papers). Qi Long collaborates with scholars based in United States, China and Canada. Qi Long's co-authors include Brent A. Johnson, Roberd M. Bostick, Yize Zhao, Changgee Chang, W. Dana Flanders, Veronika Fedirko, Xihong Lin, Roderick J. A. Little, Carrie R. Daniel and Robin E. Rutherford and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Qi Long

184 papers receiving 3.2k citations

Hit Papers

Deep learning-based approaches for multi-omics data integ... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Long United States 31 668 411 374 373 363 191 3.3k
Bin Nan United States 41 661 1.0× 539 1.3× 304 0.8× 271 0.7× 466 1.3× 119 4.4k
Alexander Tsodikov United States 30 438 0.7× 395 1.0× 297 0.8× 530 1.4× 179 0.5× 75 3.0k
Sheng Luo United States 28 636 1.0× 362 0.9× 188 0.5× 422 1.1× 427 1.2× 259 3.8k
David Faraggi Israel 32 532 0.8× 720 1.8× 226 0.6× 594 1.6× 473 1.3× 83 4.9k
Aiyi Liu United States 40 1.5k 2.2× 667 1.6× 156 0.4× 372 1.0× 618 1.7× 232 6.0k
Larry J. Brant United States 39 551 0.8× 267 0.6× 408 1.1× 172 0.5× 291 0.8× 77 5.6k
Jinbo Chen United States 33 382 0.6× 140 0.3× 203 0.5× 861 2.3× 297 0.8× 138 2.9k
Nuala A. Sheehan United Kingdom 31 1.8k 2.6× 559 1.4× 593 1.6× 276 0.7× 747 2.1× 70 8.3k
Jørgen Hilden Denmark 36 419 0.6× 515 1.3× 347 0.9× 304 0.8× 429 1.2× 148 5.6k
Dana C. Crawford United States 35 2.1k 3.1× 187 0.5× 153 0.4× 258 0.7× 409 1.1× 151 5.9k

Countries citing papers authored by Qi Long

Since Specialization
Citations

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

Fields of papers citing papers by Qi Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Long

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Long. A scholar is included among the top collaborators of Qi Long 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 Qi Long. Qi Long 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.
Chen, Kan, et al.. (2025). Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations. Nature Medicine. 31(2). 457–465. 11 indexed citations
2.
Long, Qi, Chaoran Wu, Hong Liao, & Haowei Sun. (2025). The Role of Glutamate Receptors in Ischemic Stroke. Biocell. 49(2). 167–180.
3.
Wu, Xizhi, Song Wang, Xingyu Zhao, et al.. (2025). SDoH-GPT: using large language models to extract social determinants of health. Journal of the American Medical Informatics Association. 33(1). 67–78. 1 indexed citations
4.
Sun, Hao, et al.. (2024). STING inhibition suppresses microglia-mediated synapses engulfment and alleviates motor functional deficits after stroke. Journal of Neuroinflammation. 21(1). 86–86. 22 indexed citations
5.
Wendt, Chris H., et al.. (2024). HIP: a method for high-dimensional multi-view data integration and prediction accounting for subgroup heterogeneity. Briefings in Bioinformatics. 25(6). 1 indexed citations
6.
Chen, Wenjie, et al.. (2024). Understanding the evolution trend of urban flood risk and resilience for better flood management. Ecological Indicators. 169. 112829–112829. 6 indexed citations
7.
Zhang, Peng, Guoqiang Chen, Hao Chen, et al.. (2024). Role of fuel and free diffusion of furan/diesel and methyl heptanoate/diesel blends spray on combustion characteristics. Renewable Energy. 240. 122214–122214. 2 indexed citations
8.
Gu, Xiaolei, Qi Long, Qing Qi, et al.. (2024). Monoclonal antibody therapy for Alzheimer's disease focusing on intracerebral targets. BioScience Trends. 18(1). 49–65. 6 indexed citations
9.
Bao, Jingxuan, Kefei Liu, Junhao Wen, et al.. (2023). Preference matrix guided sparse canonical correlation analysis for mining brain imaging genetic associations in Alzheimer's disease. Methods. 218. 27–38. 4 indexed citations
10.
Lin, John K., Emily Getzen, Qi Long, et al.. (2023). Validation of Biomechanical Computed Tomography for Fracture Risk Classification in Metastatic Hormone-sensitive Prostate Cancer. European Urology Oncology. 7(4). 794–803. 5 indexed citations
11.
Chen, Kan, et al.. (2023). Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability. Lecture notes in computer science. 13716. 604–619. 1 indexed citations
12.
Ye, Ying, Daniel E. Schäffer, Hao Xue, et al.. (2023). A deep learning approach reveals unexplored landscape of viral expression in cancer. Nature Communications. 14(1). 785–785. 15 indexed citations
13.
Zhang, Xu, Yeye Guo, Ta Xiao, et al.. (2022). CD147 mediates epidermal malignant transformation through the RSK2/AP-1 pathway. Journal of Experimental & Clinical Cancer Research. 41(1). 246–246. 13 indexed citations
14.
Manatunga, Amita K., et al.. (2021). A Bayesian multiple imputation approach to bivariate functional data with missing components. Statistics in Medicine. 40(22). 4772–4793. 3 indexed citations
15.
Olson, Darin E., Zhu Ming, Qi Long, et al.. (2015). Increased Cardiovascular Disease, Resource Use, and Costs Before the Clinical Diagnosis of Diabetes in Veterans in the Southeastern U.S.. Journal of General Internal Medicine. 30(6). 749–757. 11 indexed citations
16.
Long, Qi, Jianpeng Xu, Adeboye O. Osunkoya, et al.. (2014). Global Transcriptome Analysis of Formalin-Fixed Prostate Cancer Specimens Identifies Biomarkers of Disease Recurrence. Cancer Research. 74(12). 3228–3237. 97 indexed citations
17.
Long, Qi, Brent A. Johnson, Adeboye O. Osunkoya, et al.. (2011). Protein-Coding and MicroRNA Biomarkers of Recurrence of Prostate Cancer Following Radical Prostatectomy. American Journal Of Pathology. 179(1). 46–54. 74 indexed citations
18.
Long, Qi. (2011). A k-anonymity Study of the Student-Score Publishing. 3 indexed citations
19.
Ahearn, Thomas U., Marjorie L. McCullough, W. Dana Flanders, et al.. (2010). A Randomized Clinical Trial of the Effects of Supplemental Calcium and Vitamin D3 on Markers of Their Metabolism in Normal Mucosa of Colorectal Adenoma Patients. Cancer Research. 71(2). 413–423. 49 indexed citations
20.
Fedirko, Veronika, Roberd M. Bostick, W. Dana Flanders, et al.. (2009). Effects of Vitamin D and Calcium Supplementation on Markers of Apoptosis in Normal Colon Mucosa: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial. Cancer Prevention Research. 2(3). 213–223. 99 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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