Steven Xu

574 total citations
33 papers, 212 citations indexed

About

Steven Xu is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Steven Xu has authored 33 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 13 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Cancer Research. Recurrent topics in Steven Xu's work include Cancer Genomics and Diagnostics (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and CAR-T cell therapy research (6 papers). Steven Xu is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and CAR-T cell therapy research (6 papers). Steven Xu collaborates with scholars based in United States, China and Australia. Steven Xu's co-authors include Min Yuan, Hong Zhang, Xingyu Li, Jitendra Jonnagaddala, Timothy Baldwin, Huizhi Liang, Honghui Zhou, Miaomiao Yang, Zihan Chen and Yaning Yang and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Steven Xu

32 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Xu United States 9 61 55 55 44 25 33 212
Marc Landsman United States 9 50 0.8× 41 0.7× 21 0.4× 69 1.6× 12 0.5× 20 261
Haoran Ding China 11 40 0.7× 29 0.5× 40 0.7× 78 1.8× 31 1.2× 20 264
Yanpeng Li China 11 38 0.6× 66 1.2× 39 0.7× 81 1.8× 31 1.2× 28 322
Ya Zhang China 8 69 1.1× 53 1.0× 88 1.6× 174 4.0× 45 1.8× 11 355
Samuel Whipple United States 5 28 0.5× 56 1.0× 43 0.8× 27 0.6× 53 2.1× 9 312
Yujin Lee South Korea 11 74 1.2× 37 0.7× 28 0.5× 91 2.1× 51 2.0× 30 376
Shahid Hussain Pakistan 10 142 2.3× 43 0.8× 73 1.3× 55 1.3× 35 1.4× 18 311
Fleur Jeanquartier Austria 11 60 1.0× 32 0.6× 67 1.2× 94 2.1× 33 1.3× 17 302
Eugene Jeong South Korea 12 60 1.0× 34 0.6× 28 0.5× 23 0.5× 6 0.2× 33 304

Countries citing papers authored by Steven Xu

Since Specialization
Citations

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

Fields of papers citing papers by Steven Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Xu. A scholar is included among the top collaborators of Steven Xu 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 Steven Xu. Steven Xu 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.
Li, Tommy, Leonid Gibiansky, Apurvasena Parikh, et al.. (2025). Optimal Dosing Regimen for Epcoritamab, a Subcutaneous Bispecific Antibody, in Relapsed or Refractory Large B‐Cell Lymphoma. Clinical Pharmacology & Therapeutics. 117(5). 1437–1450. 1 indexed citations
2.
Yuan, Min, et al.. (2025). Longitudinal genomic profiling using liquid biopsies in metastatic nonsquamous NSCLC following first line immunotherapy. npj Precision Oncology. 9(1). 5–5. 1 indexed citations
6.
Li, Tommy, Leonid Gibiansky, Apurvasena Parikh, et al.. (2024). Population Pharmacokinetics of Epcoritamab Following Subcutaneous Administration in Relapsed or Refractory B Cell Non-Hodgkin Lymphoma. Clinical Pharmacokinetics. 64(1). 127–141. 2 indexed citations
7.
Yuan, Min, et al.. (2024). Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance. JCO Clinical Cancer Informatics. 8(8). e2300154–e2300154. 1 indexed citations
8.
Li, Tommy, Leonid Gibiansky, Apurvasena Parikh, et al.. (2023). Population Pharmacokinetics of Subcutaneous Epcoritamab in Relapsed or Refractory B-Cell Non-Hodgkin Lymphoma. Blood. 142(Supplement 1). 4481–4481. 1 indexed citations
10.
Li, Xingyu, et al.. (2023). A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers Using Sequencer Architecture. American Journal Of Pathology. 193(12). 2122–2132. 2 indexed citations
11.
Li, Tommy, Leonid Gibiansky, Apurvasena Parikh, et al.. (2023). Identification of Optimal Dosing Regimen for Subcutaneous Epcoritamab in Relapsed or Refractory B-Cell Non-Hodgkin Lymphoma. Blood. 142(Supplement 1). 3135–3135. 3 indexed citations
12.
Li, Tommy, Craig J. Thalhauser, Apurvasena Parikh, et al.. (2023). Abstract 2798: Simplifying selection and optimization of step-up dosing of subcutaneous Epcoritamab to mitigate CRS risk using repeated time-to-event modeling. Cancer Research. 83(7_Supplement). 2798–2798. 6 indexed citations
14.
Li, Xingyu, et al.. (2022). A retrospective analysis using deep-learning models for prediction of survival outcome and benefit of adjuvant chemotherapy in stage II/III colorectal cancer. Journal of Cancer Research and Clinical Oncology. 148(8). 1955–1963. 11 indexed citations
15.
Yuan, Min, et al.. (2022). CPGL: Prediction of Compound-Protein Interaction by Integrating Graph Attention Network With Long Short-Term Memory Neural Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(3). 1935–1942. 11 indexed citations
16.
Yuan, Min, Yi Li, Yaning Yang, et al.. (2020). A novel quantification of information for longitudinal data analyzed by mixed‐effects modeling. Pharmaceutical Statistics. 19(4). 388–398. 1 indexed citations
17.
Zhu, Peijuan, Chyi‐Hung Hsu, Jason J. Z. Liao, et al.. (2019). Trial Design and Statistical Considerations on the Assessment of Pharmacodynamic Similarity. The AAPS Journal. 21(3). 47–47. 3 indexed citations
18.
Xu, Steven, Andrew Bennett, Doris Hoogeveen, Jey Han Lau, & Timothy Baldwin. (2018). Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata. 137–147. 3 indexed citations
19.
Russu, Alberto, Mahesh N. Samtani, Steven Xu, et al.. (2016). Biomarker Exposure-Response Analysis in Mild-To-Moderate Alzheimer’s Disease Trials of Bapineuzumab. Journal of Alzheimer s Disease. 53(2). 535–546. 4 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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