Jeremy Mason

979 total citations
33 papers, 621 citations indexed

About

Jeremy Mason is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jeremy Mason has authored 33 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 14 papers in Cancer Research and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jeremy Mason's work include Cancer Genomics and Diagnostics (8 papers), Bladder and Urothelial Cancer Treatments (5 papers) and Lung Cancer Research Studies (5 papers). Jeremy Mason is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Bladder and Urothelial Cancer Treatments (5 papers) and Lung Cancer Research Studies (5 papers). Jeremy Mason collaborates with scholars based in United States, Canada and Czechia. Jeremy Mason's co-authors include Peter Kühn, Paul K. Newton, Jorge J. Nieva, Lyudmila Bazhenova, Kelly Bethel, Stephanie N. Shishido, Larry Norton, Inderbir S. Gill, Gus Miranda and J. W. McLeod and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Jeremy Mason

30 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeremy Mason United States 15 235 151 129 121 120 33 621
Vladimir Vainstein Israel 15 283 1.2× 226 1.5× 60 0.5× 53 0.4× 30 0.3× 51 723
Soha El Sheikh United Kingdom 14 217 0.9× 298 2.0× 214 1.7× 223 1.8× 35 0.3× 41 873
Philipp Metzger Germany 12 305 1.3× 376 2.5× 124 1.0× 127 1.0× 178 1.5× 19 954
Hye Eun Park South Korea 11 277 1.2× 130 0.9× 60 0.5× 71 0.6× 24 0.2× 30 499
Valeria De Giorgi United States 17 369 1.6× 311 2.1× 148 1.1× 67 0.6× 117 1.0× 43 928
Chang Gong United States 15 324 1.4× 317 2.1× 182 1.4× 53 0.4× 62 0.5× 27 762
Stefan Runkel Germany 12 85 0.4× 161 1.1× 221 1.7× 53 0.4× 54 0.5× 26 656
Jeffrey Peacock United States 15 85 0.4× 105 0.7× 80 0.6× 162 1.3× 43 0.4× 28 647
Tommy R. Tong United States 20 311 1.3× 347 2.3× 126 1.0× 195 1.6× 107 0.9× 48 1.1k
Teh-Ying Chou Taiwan 14 90 0.4× 127 0.8× 48 0.4× 239 2.0× 59 0.5× 27 586

Countries citing papers authored by Jeremy Mason

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Mason

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Mason. A scholar is included among the top collaborators of Jeremy Mason 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 Jeremy Mason. Jeremy Mason 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.
Waldron, Richard T., Ruoxiang Wang, Stephanie N. Shishido, et al.. (2025). Selective removal of proteins and microvesicles ex vivo from blood of pancreatic cancer patients using bioengineered adsorption filters. Cancer Letters. 614. 217546–217546.
2.
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Shishido, Stephanie N., Nicholas N. Nissen, Jeremy Mason, et al.. (2024). Cancer-related cells and oncosomes in the liquid biopsy of pancreatic cancer patients undergoing surgery. npj Precision Oncology. 8(1). 36–36. 10 indexed citations
4.
Mason, Jeremy, et al.. (2024). Longitudinal tracking of circulating rare events in the liquid biopsy of stage III–IV non-small cell lung cancer patients. Discover Oncology. 15(1). 142–142. 1 indexed citations
5.
Shishido, Stephanie N., Duc Truong Pham, Tao Luo, et al.. (2024). Multi-Omic Characterization of Single Cells and Cell-Free Components Detected in the Cerebrospinal Fluid of Patients with Leptomeningeal Disease. Cancers. 16(22). 3746–3746. 1 indexed citations
6.
Pangal, Dhiraj J., Josh Neman, Gabriel Zada, et al.. (2024). Comparative analysis of the spatial distribution of brain metastases across several primary cancers using machine learning and deep learning models. Journal of Neuro-Oncology. 167(3). 501–508. 5 indexed citations
7.
Mason, Jeremy, et al.. (2024). Circulation of rare events in the liquid biopsy for early detection of lung mass lesions. Thoracic Cancer. 15(29). 2100–2109. 1 indexed citations
8.
Nguyen, Nathalie, Elham Kazemian, Karen L. Reckamp, et al.. (2023). Investigation of liquid biopsy analytes in peripheral blood of individuals after SARS-CoV-2 infection. EBioMedicine. 90. 104519–104519. 9 indexed citations
9.
Pangal, Dhiraj J., Tyler Cardinal, David Craig, et al.. (2022). A quantitative characterization of the spatial distribution of brain metastases from breast cancer and respective molecular subtypes. Journal of Neuro-Oncology. 160(1). 241–251. 4 indexed citations
10.
Shishido, Stephanie N., Guilin Tang, Pei Lin, et al.. (2022). Characterization of BCMA Expression in Circulating Rare Single Cells of Patients with Plasma Cell Neoplasms. International Journal of Molecular Sciences. 23(21). 13427–13427. 5 indexed citations
11.
Nieva, Jorge J., Janice Lu, Shelley Hwang, et al.. (2022). Multianalyte liquid biopsy to aid the diagnostic workup of breast cancer. npj Breast Cancer. 8(1). 112–112. 16 indexed citations
12.
Cardinal, Tyler, Dhiraj J. Pangal, Ben A. Strickland, et al.. (2021). Anatomical and topographical variations in the distribution of brain metastases based on primary cancer origin and molecular subtypes: a systematic review. Neuro-Oncology Advances. 4(1). vdab170–vdab170. 13 indexed citations
13.
Mason, Jeremy, Yutao Gong, Laleh Amiri‐Kordestani, et al.. (2021). Model Development of CDK4/6 Predicted Efficacy in Patients With Hormone Receptor–Positive, Human Epidermal Growth Factor Receptor 2–Negative Advanced or Metastatic Breast Cancer. JCO Clinical Cancer Informatics. 5(5). 758–767. 2 indexed citations
14.
Mason, Jeremy, Karanvir Gill, Gus Miranda, et al.. (2019). Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients. PLoS ONE. 14(2). e0210976–e0210976. 52 indexed citations
15.
Newton, Paul N., Jeremy Mason, Maxine S. Jochelson, et al.. (2015). Spatiotemporal progression of metastatic breast cancer: a Markov chain model highlighting the role of early metastatic sites. npj Breast Cancer. 1(1). 15018–15018. 35 indexed citations
16.
Bazhenova, Lyudmila, Paul K. Newton, Jeremy Mason, et al.. (2014). Adrenal Metastases in Lung Cancer: Clinical Implications of a Mathematical Model. Journal of Thoracic Oncology. 9(4). 442–446. 18 indexed citations
17.
18.
Newton, Paul K., Jeremy Mason, Kelly Bethel, et al.. (2014). Entropy, complexity and Markov diagrams for random walk cancer models. Scientific Reports. 4(1). 7558–7558. 25 indexed citations
19.
Newton, Paul K., Jeremy Mason, Kelly Bethel, et al.. (2013). Spreaders and Sponges Define Metastasis in Lung Cancer: A Markov Chain Monte Carlo Mathematical Model. Cancer Research. 73(9). 2760–2769. 66 indexed citations
20.
McLeod, J. W., et al.. (1963). PROPHYLACTIC CONTROL OF INFECTION OF THE URINARY TRACT CONSEQUENT ON CATHETERISATION. The Lancet. 281(7276). 292–295. 16 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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