Xinlei Mi

900 total citations
36 papers, 326 citations indexed

About

Xinlei Mi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Xinlei Mi has authored 36 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 11 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Xinlei Mi's work include Prostate Cancer Diagnosis and Treatment (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Xinlei Mi is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Xinlei Mi collaborates with scholars based in United States, Spain and Canada. Xinlei Mi's co-authors include Fei Zou, Baiming Zou, Jianhua Hu, Ruoqing Zhu, Quan Mai, Ashley E. Ross, Amy E. Krambeck, Barbara Pro, Leo I. Gordon and Justin M. Fear and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Xinlei Mi

33 papers receiving 324 citations

Peers

Xinlei Mi

PRM

ONCOL

RHEUM

PFM

David J. Benjamin United States

Fatma Tokat Türkiye

Ruochen Zhang China

Marta Betti Italy

David Corn United States

Evelina La Civita Italy

Ruicen Li China

Cundong Liu China

Okyaz Eminağa Germany

Mingyang Chen China

David J. Benjamin United States

Xinlei Mi

148 ×1.6

PRM

133 ×2.1

130 ×2.5

ONCOL

24 ×0.8

RHEUM

20 ×0.7

PFM

Citations per year, relative to Xinlei Mi Xinlei Mi (= 1×) peers David J. Benjamin

Countries citing papers authored by Xinlei Mi

Since Specialization

Citations

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

Fields of papers citing papers by Xinlei Mi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinlei Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Xinlei Mi. A scholar is included among the top collaborators of Xinlei Mi 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 Xinlei Mi. Xinlei Mi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xiao, Mei‐Sheng, et al.. (2025). Drug molecular representations for drug response predictions: a comprehensive investigation via machine learning methods. Scientific Reports. 15(1). 20–20. 2 indexed citations

Isaacson, Dylan, Joseph Nicolas, Xinlei Mi, et al.. (2025). Tumor Necrosis Factor-Alpha Inhibitor Use and Malignancy Risk: A Systematic Review and Patient Level Meta-Analysis. Cancers. 17(3). 390–390.

Yang, Christopher C., Joseph Nicolas, Dylan Isaacson, et al.. (2025). Long-term risk of de novo malignancy with tumor necrosis factor alpha (TNF) inhibitor immunosuppression: a multicenter, retrospective cohort study. Journal of Inflammation. 22(1). 34–34.

Li, Eric V., Mohammad R. Siddiqui, Xinlei Mi, et al.. (2024). Detection of clinically significant prostate cancer following initial omission of biopsy in multiparametric MRI era. Prostate Cancer and Prostatic Diseases. 28(3). 795–801. 2 indexed citations

Huang, Jonathan, Miri Kim, Kristen L. Lauing, et al.. (2024). Age-stratified comorbid and pharmacologic analysis of patients with glioblastoma. Brain Behavior & Immunity - Health. 38. 100753–100753. 4 indexed citations

Yang, Xiaoyun, Yu Deng, Amy E. Krefman, et al.. (2024). Incorporating longitudinal history of risk factors into atherosclerotic cardiovascular disease risk prediction using deep learning. Scientific Reports. 14(1). 2554–2554. 6 indexed citations

Greenberg, Daniel R., et al.. (2024). Distribution and Positive Predictive Value of Follicle Stimulating Hormone Among Nonazoospermic Men. The Journal of Urology. 212(1). 145–152. 1 indexed citations

Karmali, Reem, Jeremy S. Abramson, Deborah M. Stephens, et al.. (2023). Ibrutinib maintenance after frontline treatment in patients with mantle cell lymphoma. Blood Advances. 7(23). 7361–7368. 3 indexed citations

Ruan, Jia, Jasmine M. Zain, Borko Jovanovic, et al.. (2023). Multicenter phase 2 study of romidepsin plus lenalidomide for previously untreated peripheral T-cell lymphoma. Blood Advances. 7(19). 5771–5779. 19 indexed citations

10.

Mahalingam, Devalingam, Siqi Chen, Ping Xie, et al.. (2023). Combination of pembrolizumab and pelareorep promotes anti-tumour immunity in advanced pancreatic adenocarcinoma (PDAC). British Journal of Cancer. 129(5). 782–790. 12 indexed citations

11.

Siddiqui, Mohammad R., Eric V. Li, Parth Shah, et al.. (2023). Optimizing detection of clinically significant prostate cancer through nomograms incorporating mri, clinical features, and advanced serum biomarkers in biopsy naïve men. Prostate Cancer and Prostatic Diseases. 26(3). 588–595. 15 indexed citations

12.

Siddiqui, Mohammad R., Parth Shah, Eric V. Li, et al.. (2022). Real-world use of MRI for risk stratification prior to prostate biopsy. Prostate Cancer and Prostatic Diseases. 26(2). 353–359. 18 indexed citations

13.

Kim, Miri, April Bell, Lijie Zhai, et al.. (2022). A systematic review of pharmacologic treatment efficacy for depression in older patients with cancer. Brain Behavior & Immunity - Health. 21. 100449–100449. 4 indexed citations

14.

Mi, Xinlei, Baiming Zou, Fei Zou, & Jianhua Hu. (2021). Permutation-based identification of important biomarkers for complex diseases via machine learning models. Nature Communications. 12(1). 3008–3008. 102 indexed citations

15.

Mi, Xinlei, Baiming Zou, Parisa Rashidi, et al.. (2021). Effects of Patient and Surgery Characteristics on Persistent Postoperative Pain. Clinical Journal of Pain. 37(11). 803–811. 6 indexed citations

16.

Prı́ncipe, José C., Roger B. Fillingim, Margaret R. Wallace, et al.. (2021). Slow Dynamics of Acute Postoperative Pain Intensity Time Series Determined via Wavelet Analysis Are Associated With the Risk of Severe Postoperative Day 30 Pain. Anesthesia & Analgesia. 132(5). 1465–1474. 1 indexed citations

17.

Mi, Xinlei, et al.. (2020). A tail-based test to detect differential expression in RNA-sequencing data. Statistical Methods in Medical Research. 30(1). 261–276. 2 indexed citations

18.

Yang, Gee Su, Xinlei Mi, Colleen Jackson‐Cook, et al.. (2019). Differential DNA methylation following chemotherapy for breast cancer is associated with lack of memory improvement at one year. Epigenetics. 15(5). 499–510. 19 indexed citations

19.

Mi, Xinlei, Fei Zou, & Ruoqing Zhu. (2018). Bagging and Deep Learning in Optimal Individualized Treatment Rules. Biometrics. 75(2). 674–684. 22 indexed citations

20.

Kirpich, Alexander, Justin M. Fear, Joseph E. Gerken, et al.. (2018). SECIMTools: a suite of metabolomics data analysis tools. BMC Bioinformatics. 19(1). 151–151. 25 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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