James Slater

813 total citations
16 papers, 576 citations indexed

About

James Slater is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Surgery. According to data from OpenAlex, James Slater has authored 16 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Spectroscopy and 3 papers in Surgery. Recurrent topics in James Slater's work include Advanced NMR Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (6 papers) and Atomic and Subatomic Physics Research (2 papers). James Slater is often cited by papers focused on Advanced NMR Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (6 papers) and Atomic and Subatomic Physics Research (2 papers). James Slater collaborates with scholars based in United States, Austria and Germany. James Slater's co-authors include Jeremy W. Gordon, Robert Bok, Peder E. Z. Larson, Daniel B. Vigneron, John Kurhanewicz, Zhen J. Wang, Javier Villanueva-Meyer, Christopher P. Hess, Michael A. Ohliger and John O. Archambeau and has published in prestigious journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.

In The Last Decade

James Slater

14 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Slater United States	9	244	228	113	96	90	16	576
Rafał Panek United Kingdom	19	233 1.0×	372 1.6×	87 0.8×	82 0.9×	113 1.3×	38	1.1k
B Patyal United States	18	160 0.7×	157 0.7×	184 1.6×	279 2.9×	114 1.3×	41	796
Ramon E. Sosa United States	17	193 0.8×	546 2.4×	75 0.7×	165 1.7×	61 0.7×	23	961
Chunsheng Wang China	13	122 0.5×	298 1.3×	112 1.0×	59 0.6×	41 0.5×	29	505
Eva Serrão United Kingdom	17	382 1.6×	413 1.8×	132 1.2×	264 2.8×	184 2.0×	37	1.2k
Matthew S. Fox Canada	16	213 0.9×	331 1.5×	300 2.7×	85 0.9×	75 0.8×	36	562
Lotte Bonde Bertelsen Denmark	16	356 1.5×	295 1.3×	160 1.4×	50 0.5×	103 1.1×	52	617
Shun Kishimoto United States	18	158 0.6×	290 1.3×	42 0.4×	143 1.5×	125 1.4×	53	805
Vesselin Z. Miloushev United States	15	305 1.3×	341 1.5×	96 0.8×	40 0.4×	138 1.5×	25	829
Geoffrey J. Topping Germany	17	168 0.7×	229 1.0×	133 1.2×	32 0.3×	51 0.6×	36	718

Countries citing papers authored by James Slater

Since Specialization

Citations

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

Fields of papers citing papers by James Slater

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Slater

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

All Works

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16 of 16 papers shown

Graves, Claire E., Vincent J. Major, Yuhe Xia, et al.. (2025). Periprocedural Myocardial Injury Using CKMB Following Elective PCI: Incidence and Associations With Long-Term Mortality. Circulation Cardiovascular Interventions. 18(5). e014934–e014934.

Kim, Yaewon, Hsin-Yu Chen, James Slater, et al.. (2025). Translation of hyperpolarized [13C,15N2]urea MRI for novel human brain perfusion studies. PubMed. 3(1). 11–11. 2 indexed citations

Kim, Yaewon, Hsin-Yu Chen, James Slater, et al.. (2025). Clinical Translation of Hyperpolarized ¹³ C Metabolic Probes for Glioma Imaging. American Journal of Neuroradiology. 46(9). 1754–1764.

Tang, Shuyu, Sanjay Sivalokanathan, Jing Liu, et al.. (2024). Quantification of Abnormal Metabolism in Hypertrophic Cardiomyopathy Patients Using Hyperpolarized [1-13c]-pyruvate MRI. Journal of Cardiovascular Magnetic Resonance. 26. 100838–100838. 1 indexed citations

Mu, Changhua, Yaewon Kim, David E. Korenchan, et al.. (2023). Clinically Translatable Hyperpolarized ¹³C Bicarbonate pH Imaging Method for Use in Prostate Cancer. ACS Sensors. 8(11). 4042–4054. 9 indexed citations

Larson, Peder E. Z., Shuyu Tang, Sanjay Sivalokanathan, et al.. (2023). Regional quantification of cardiac metabolism with hyperpolarized [1-13C]-pyruvate CMR evaluated in an oral glucose challenge. Journal of Cardiovascular Magnetic Resonance. 25(1). 77–77. 8 indexed citations

Qin, Hecong, Shuyu Tang, Robert Bok, et al.. (2021). Clinical translation of hyperpolarized¹³C pyruvate and urea MRI for simultaneous metabolic and perfusion imaging. Magnetic Resonance in Medicine. 87(1). 138–149. 29 indexed citations

Chen, Hsin‐Yu, Jeremy W. Gordon, Daniele Mammoli, et al.. (2019). First hyperpolarized [2-13C]pyruvate MR studies of human brain metabolism. Journal of Magnetic Resonance. 309. 106617–106617. 60 indexed citations

Wang, Zhen J., Michael A. Ohliger, Peder E. Z. Larson, et al.. (2019). Hyperpolarized ¹³C MRI: State of the Art and Future Directions. Radiology. 291(2). 273–284. 220 indexed citations

10.

Arentson‐Lantz, Emily, Isra Saeed, Lynda Frassetto, et al.. (2017). 11C-L-methyl methionine dynamic PET/CT of skeletal muscle: response to protein supplementation compared to L-[ring 13C6] phenylalanine infusion with serial muscle biopsy. Annals of Nuclear Medicine. 31(4). 295–303. 1 indexed citations

11.

Hope, Thomas A., Miguel Hernandez Pampaloni, Eric K. Nakakura, et al.. (2015). Simultaneous 68Ga-DOTA-TOC PET/MRI with gadoxetate disodium in patients with neuroendocrine tumor. Abdominal Imaging. 40(6). 1432–1440. 76 indexed citations

12.

Poljanc, Karin, Daniel W. Miller, John O. Archambeau, et al.. (2000). Normal tissue complication probability (NTCP) calculations as a means to compare proton and photon plans and evaluation of clinical appropriateness of calculated values. International Journal of Cancer. 90(6). 351–358. 16 indexed citations

13.

Xu, He, Wayne W. Hancock, Goro Matsumiya, et al.. (1998). Prolonged discordant xenograft survival and delayed xenograft rejection in a pig-to-baboon orthotopic cardiac xenograft model. Journal of Thoracic and Cardiovascular Surgery. 115(6). 1342–1349. 54 indexed citations

14.

Gridley, Daila S., Lilia Loredo, J.D. Slater, et al.. (1998). Pilot Evaluation of Cytokine Levels in Patients Undergoing Radiotherapy for Brain Tumor. Cancer Detection and Prevention. 22(1). 20–29. 47 indexed citations

15.

Slater, J.D., Carl J. Rossi, John E. Antoine, et al.. (1997). Combined proton and photon conformal radiation therapy for locally advanced carcinoma of the prostate: Preliminary results of a phase study. International Journal of Radiation Oncology*Biology*Physics. 37(1). 21–29. 52 indexed citations

16.

Slater, James B., et al.. (1996). Relationship between ZCE 025 blood clearance and liver accumulation in patients with colorectal cancer. Immunopharmacology. 35(2). 111–118. 1 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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