James A. Bankson

11.6k total citations · 2 hit papers
112 papers, 7.2k citations indexed

About

James A. Bankson is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Materials Chemistry. According to data from OpenAlex, James A. Bankson has authored 112 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Spectroscopy and 25 papers in Materials Chemistry. Recurrent topics in James A. Bankson's work include Advanced MRI Techniques and Applications (41 papers), Advanced NMR Techniques and Applications (37 papers) and Atomic and Subatomic Physics Research (17 papers). James A. Bankson is often cited by papers focused on Advanced MRI Techniques and Applications (41 papers), Advanced NMR Techniques and Applications (37 papers) and Atomic and Subatomic Physics Research (17 papers). James A. Bankson collaborates with scholars based in United States, Germany and United Kingdom. James A. Bankson's co-authors include John D. Hazle, Roger E. Price, R. Jason Stafford, Naomi J. Halas, S.R. Sershen, Jennifer L. West, L. R. Hirsch, Belinda Rivera, Juri G. Gelovani and Roger J. McNichols and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

James A. Bankson

111 papers receiving 7.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nanoshell-mediated near-infrared thermal therapy of tumors under magnetic resonance guidance

2003 3.1k citations L. R. Hirsch, R. Jason Stafford et al. Proceedings of the National Academy of Sciences profile →
Three-dimensional tissue culture based on magnetic cell levitation

2010 524 citations James A. Bankson, Juri G. Gelovani et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James A. Bankson United States	33	3.3k	1.9k	1.7k	1.6k	1.5k	112	7.2k
Moritz F. Kircher United States	46	3.7k 1.1×	1.5k 0.8×	2.3k 1.3×	1.3k 0.8×	1.6k 1.1×	81	7.1k
Roger E. Price United States	42	3.3k 1.0×	1.7k 0.9×	1.8k 1.0×	1.5k 1.0×	1.2k 0.8×	119	8.4k
John D. Hazle United States	40	4.2k 1.3×	1.9k 1.0×	1.4k 0.8×	1.5k 0.9×	1.2k 0.8×	173	7.9k
Yong‐Min Huh South Korea	49	6.0k 1.8×	1.6k 0.8×	3.3k 1.9×	3.8k 2.5×	4.6k 3.1×	262	13.0k
R. Jason Stafford United States	39	4.7k 1.4×	2.1k 1.1×	1.0k 0.6×	1.5k 1.0×	1.6k 1.1×	144	7.7k
Ji‐Ho Park South Korea	51	5.4k 1.6×	1.6k 0.8×	3.6k 2.1×	3.4k 2.2×	3.2k 2.1×	228	11.4k
Jaemoon Yang South Korea	40	2.7k 0.8×	850 0.4×	1.8k 1.0×	1.6k 1.0×	1.9k 1.3×	155	6.3k
Konstantin Sokolov United States	55	6.0k 1.8×	3.3k 1.7×	2.2k 1.3×	3.2k 2.0×	1.7k 1.2×	201	10.6k
Xingde Li United States	46	6.3k 1.9×	3.0k 1.6×	1.7k 1.0×	2.4k 1.5×	1.2k 0.8×	188	10.1k
Malini Olivo Singapore	51	6.6k 2.0×	2.5k 1.3×	2.5k 1.5×	2.5k 1.6×	676 0.5×	326	11.1k

Countries citing papers authored by James A. Bankson

Since Specialization

Citations

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

Fields of papers citing papers by James A. Bankson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Bankson. 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 James A. Bankson. The network helps show where James A. Bankson may publish in the future.

Co-authorship network of co-authors of James A. Bankson

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

All Works

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20 of 20 papers shown

Jha, Prashant K., Christopher J. Walker, J. Tinsley Oden, et al.. (2023). Mutual-information based optimal experimental design for hyperpolarized $$^{13}$$C-pyruvate MRI. Scientific Reports. 13(1). 18047–18047. 1 indexed citations

Neumann, Oara, et al.. (2022). Plasmonic gadolinium oxide nanomatryoshkas: bifunctional magnetic resonance imaging enhancers for photothermal cancer therapy. PNAS Nexus. 1(4). pgac140–pgac140. 8 indexed citations

Neumann, Oara, et al.. (2022). Gd ₂ O ₃ -mesoporous silica/gold nanoshells: A potential dual T ₁ / T ₂ contrast agent for MRI-guided localized near-IR photothermal therapy. Proceedings of the National Academy of Sciences. 119(29). e2123527119–e2123527119. 28 indexed citations

Chou, Ping‐Chieh, Hyun Ho Choi, Yizhi Huang, et al.. (2021). Impact of diabetes on promoting the growth of breast cancer. Cancer Communications. 41(5). 414–431. 17 indexed citations

Xiong, Wei, Ting Xu, Daniel R. Gomez, et al.. (2020). Development and application of an elastic net logistic regression model to investigate the impact of cardiac substructure dose on radiation-induced pericardial effusion in patients with NSCLC. Acta Oncologica. 59(10). 1193–1200. 7 indexed citations

Hwang, Ken‐Pin, James A. Bankson, R. Jason Stafford, et al.. (2020). An information theory model for optimizing quantitative magnetic resonance imaging acquisitions. Physics in Medicine and Biology. 65(22). 225008–225008. 3 indexed citations

Michel, Keith A., Rafał Zieliński, Christopher M. Walker, et al.. (2019). Hyperpolarized Pyruvate MR Spectroscopy Depicts Glycolytic Inhibition in a Mouse Model of Glioma. Radiology. 293(1). 168–173. 14 indexed citations

Zhao, Jun, Huamin Wang, Diana S‐L Chow, et al.. (2018). Simultaneous inhibition of hedgehog signaling and tumor proliferation remodels stroma and enhances pancreatic cancer therapy. Biomaterials. 159. 215–228. 110 indexed citations

Sun, Changyu, Christopher M. Walker, Keith A. Michel, et al.. (2017). Influence of parameter accuracy on pharmacokinetic analysis of hyperpolarized pyruvate. Magnetic Resonance in Medicine. 79(6). 3239–3248. 17 indexed citations

10.

Sandulache, Vlad C., Yunyun Chen, Heath D. Skinner, et al.. (2015). Acute Tumor Lactate Perturbations as a Biomarker of Genotoxic Stress: Development of a Biochemical Model. Molecular Cancer Therapeutics. 14(12). 2901–2908. 16 indexed citations

11.

Bankson, James A., Christopher M. Walker, Marc S. Ramirez, et al.. (2015). Kinetic Modeling and Constrained Reconstruction of Hyperpolarized [1-13C]-Pyruvate Offers Improved Metabolic Imaging of Tumors. Cancer Research. 75(22). 4708–4717. 70 indexed citations

12.

Ramirez, Marc S., Jaehyuk Lee, Christopher M. Walker, et al.. (2014). Feasibility of multianimal hyperpolarized ¹³C MRS. Magnetic Resonance in Medicine. 73(5). 1726–1732. 4 indexed citations

13.

Sandulache, Vlad C., Yunyun Chen, Jae-Hyuk Lee, et al.. (2014). Evaluation of Hyperpolarized [1-13C]-Pyruvate by Magnetic Resonance to Detect Ionizing Radiation Effects in Real Time. PLoS ONE. 9(1). e87031–e87031. 34 indexed citations

14.

Sandulache, Vlad C., Heath D. Skinner, Yuan Wang, et al.. (2012). Glycolytic Inhibition Alters Anaplastic Thyroid Carcinoma Tumor Metabolism and Improves Response to Conventional Chemotherapy and Radiation. Molecular Cancer Therapeutics. 11(6). 1373–1380. 55 indexed citations

15.

Chen, Yunyun, Daisuke Sano, Mitchell J. Frederick, et al.. (2011). Targeted Therapy of VEGFR2 and EGFR Significantly Inhibits Growth of Anaplastic Thyroid Cancer in an Orthotopic Murine Model. Clinical Cancer Research. 17(8). 2281–2291. 68 indexed citations

16.

Wang, Yongxing, Young‐Ah Suh, James G. Jackson, et al.. (2011). Restoring expression of wild-type p53 suppresses tumor growth but does not cause tumor regression in mice with a p53 missense mutation. Journal of Clinical Investigation. 121(3). 893–904. 106 indexed citations

17.

Serda, Rita E., Aaron Mack, Merlyn Pulikkathara, et al.. (2010). Cellular Association and Assembly of a Multistage Delivery System. Small. 6(12). 2 indexed citations

18.

Fernández, Ariel, Ángela Sanguino, Zhenghong Peng, et al.. (2007). An anticancer C-Kit kinase inhibitor is reengineered to make it more active and less cardiotoxic. Journal of Clinical Investigation. 117(12). 4044–4054. 107 indexed citations

19.

Bankson, James A., R. Jason Stafford, & John D. Hazle. (2005). Partially parallel imaging with phase‐sensitive data: Increased temporal resolution for magnetic resonance temperature imaging. Magnetic Resonance in Medicine. 53(3). 658–665. 29 indexed citations

20.

Hirsch, L. R., R. Jason Stafford, James A. Bankson, et al.. (2003). Nanoshell-mediated near-infrared thermal therapy of tumors under magnetic resonance guidance. Proceedings of the National Academy of Sciences. 100(23). 13549–13554. 3087 indexed citations breakdown →

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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