Jeffrey P. Leal

2.6k total citations · 1 hit paper
51 papers, 1.8k citations indexed

About

Jeffrey P. Leal is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jeffrey P. Leal has authored 51 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Jeffrey P. Leal's work include Medical Imaging Techniques and Applications (32 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and Prostate Cancer Treatment and Research (9 papers). Jeffrey P. Leal is often cited by papers focused on Medical Imaging Techniques and Applications (32 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and Prostate Cancer Treatment and Research (9 papers). Jeffrey P. Leal collaborates with scholars based in United States, China and Germany. Jeffrey P. Leal's co-authors include Jonathan M. Links, Richard L. Wahl, Jerry L. Prince, Christos Davatzikos, Elliot R. McVeigh, J. James Frost, Henry N. Wagner, J. James Frost, Carolyn C. Meltzer and Christian Cohade and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Jeffrey P. Leal

51 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

Measurement of Radiotracer Concentration in Brain Gray Matter Using Positron Emission Tomography: MRI-Based Correction for Partial Volume Effects

1992 609 citations Jeffrey P. Leal et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey P. Leal United States	19	1.1k	354	278	260	251	51	1.8k
C. Messa Italy	25	836 0.7×	622 1.8×	251 0.9×	144 0.6×	260 1.0×	60	1.9k
C. de Bazelaire France	27	1.6k 1.5×	712 2.0×	162 0.6×	304 1.2×	316 1.3×	71	2.9k
Scott B. Perlman United States	30	987 0.9×	634 1.8×	173 0.6×	295 1.1×	409 1.6×	110	2.6k
Josep M. Martí‐Climent Spain	25	742 0.7×	282 0.8×	107 0.4×	147 0.6×	310 1.2×	76	1.9k
Salvatore U. Berlangieri Australia	21	776 0.7×	462 1.3×	457 1.6×	164 0.6×	133 0.5×	53	1.6k
Charles M. Laymon United States	25	641 0.6×	160 0.5×	384 1.4×	91 0.3×	203 0.8×	108	1.5k
Woo Hyun Shim South Korea	23	1.0k 0.9×	153 0.4×	160 0.6×	95 0.4×	164 0.7×	103	1.9k
R A Hawkins United States	21	880 0.8×	222 0.6×	187 0.7×	106 0.4×	117 0.5×	38	1.7k
Queenie Chan China	29	1.5k 1.3×	146 0.4×	97 0.3×	112 0.4×	173 0.7×	108	2.3k
Koung Mi Kang South Korea	24	926 0.8×	250 0.7×	202 0.7×	149 0.6×	61 0.2×	120	1.8k

Countries citing papers authored by Jeffrey P. Leal

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey P. Leal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey P. Leal. 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 Jeffrey P. Leal. The network helps show where Jeffrey P. Leal may publish in the future.

Co-authorship network of co-authors of Jeffrey P. Leal

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey P. Leal. A scholar is included among the top collaborators of Jeffrey P. Leal 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 Jeffrey P. Leal. Jeffrey P. Leal 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

Leung, Kevin, Steven P. Rowe, Jeffrey P. Leal, et al.. (2024). Deep Semisupervised Transfer Learning for Fully Automated Whole-Body Tumor Quantification and Prognosis of Cancer on PET/CT. Journal of Nuclear Medicine. 65(4). 643–650. 25 indexed citations

Leung, Kevin, Steven P. Rowe, Jeffrey P. Leal, et al.. (2022). Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET. EJNMMI Research. 12(1). 76–76. 23 indexed citations

Rowe, Steven P., Martin G. Pomper, Jeffrey P. Leal, et al.. (2022). Photorealistic three-dimensional visualization of fusion datasets: cinematic rendering of PET/CT. Abdominal Radiology. 47(11). 3916–3920. 5 indexed citations

Chung, Hyun Woo, Rudolf A. Werner, Jeffrey P. Leal, et al.. (2021). Effect of Point-Spread Function Reconstruction for Indeterminate PSMA-RADS-3A Lesions on PSMA-Targeted PET Imaging of Men with Prostate Cancer. Diagnostics. 11(4). 665–665. 7 indexed citations

Paranjpe, Manish, Xueqi Chen, Min Liu, et al.. (2019). The effect of ApoE ε4 on longitudinal brain region-specific glucose metabolism in patients with mild cognitive impairment: a FDG-PET study. NeuroImage Clinical. 22. 101795–101795. 39 indexed citations

Zhao, Min, Min Liu, Jeffrey P. Leal, et al.. (2019). Association of PET-measured myocardial flow reserve with echocardiography-estimated pulmonary artery systolic pressure in patients with hypertrophic cardiomyopathy. PLoS ONE. 14(3). e0212573–e0212573. 4 indexed citations

Ashrafinia, Saeed, Mohammad Salehi Sadaghiani, Yafu Yin, et al.. (2019). Characterization of Segmented 18F-DCFPyL PET/CT Lesions in the Context of PSMA-RADS Structured Reporting. 60. 1565–1565. 3 indexed citations

Werner, Rudolf A., Alvaro A. Ordoñez, Charles Marcus, et al.. (2019). Novel Functional Renal PET Imaging With 18F-FDS in Human Subjects. Clinical Nuclear Medicine. 44(5). 410–411. 20 indexed citations

Werner, Rudolf A., Charles Marcus, Sara Sheikhbahaei, et al.. (2018). Visual and Semiquantitative Accuracy in Clinical Baseline 123I-Ioflupane SPECT/CT Imaging. Clinical Nuclear Medicine. 44(1). 1–3. 8 indexed citations

10.

Lodge, Martin A., Jeffrey P. Leal, Arman Rahmim, John J. Sunderland, & Eric C. Frey. (2018). Measuring PET Spatial Resolution Using a Cylinder Phantom Positioned at an Oblique Angle. Journal of Nuclear Medicine. 59(11). 1768–1775. 19 indexed citations

11.

O, Joo Hyun, Heather A. Jacene, Brandon Luber, et al.. (2017). Quantitation of Cancer Treatment Response by ¹⁸F-FDG PET/CT: Multicenter Assessment of Measurement Variability. Journal of Nuclear Medicine. 58(9). 1429–1434. 12 indexed citations

12.

Holdhoff, Matthias, Xiaobu Ye, Jeffrey G. Supko, et al.. (2017). Timed sequential therapy of the selective T-type calcium channel blocker mibefradil and temozolomide in patients with recurrent high-grade gliomas. Neuro-Oncology. 19(6). 845–852. 43 indexed citations

13.

O, Joo Hyun, Brandon Luber, Jeffrey P. Leal, et al.. (2016). Response to Early Treatment Evaluated with ¹⁸F-FDG PET and PERCIST 1.0 Predicts Survival in Patients with Ewing Sarcoma Family of Tumors Treated with a Monoclonal Antibody to the Insulinlike Growth Factor 1 Receptor. Journal of Nuclear Medicine. 57(5). 735–740. 18 indexed citations

14.

Leal, Jeffrey P. & Richard L. Wahl. (2015). Auto-PERCIST: Semi-automated response assessment of FDG-PET based on PERCIST 1.0 and other criteria.. 56. 1913–1913. 1 indexed citations

15.

Rowe, Steven P., Mehrbod S. Javadi, Zsolt Szabó, et al.. (2015). PSMA-Based Detection of Prostate Cancer Bone Lesions With 18F-DCFPyL PET/CT: A Sensitive Alternative to 99mTc-MDP Bone Scan and Na18F PET/CT?. Clinical Genitourinary Cancer. 14(1). e115–e118. 49 indexed citations

16.

Rowe, Steven P., E. Vicente, Hao Wang, et al.. (2015). Repeatability of Radiotracer Uptake in Normal Abdominal Organs with ¹¹¹In-Pentetreotide Quantitative SPECT/CT. Journal of Nuclear Medicine. 56(7). 985–988. 8 indexed citations

17.

Mhlanga, Joyce, Daniel J. Durand, Christine M. Durand, et al.. (2014). Differentiation of HIV-associated lymphoma from HIV-associated reactive adenopathy using quantitative FDG PET and symmetry. European Journal of Nuclear Medicine and Molecular Imaging. 41(4). 596–604. 26 indexed citations

18.

Leyva, Francisco J., Rahul P. Bakshi, Edward J. Fuchs, et al.. (2013). Isoosmolar Enemas Demonstrate Preferential Gastrointestinal Distribution, Safety, and Acceptability Compared with Hyperosmolar and Hypoosmolar Enemas as a Potential Delivery Vehicle for Rectal Microbicides. AIDS Research and Human Retroviruses. 29(11). 1487–1495. 40 indexed citations

19.

Leal, Jeffrey P. & Richard L. Wahl. (2012). SUL-PEAK, -MAX and -PAX in PERCIST 1.0: An ROC analysis. 53(3). 1223–1223. 1 indexed citations

20.

Herman, Joseph M., Daniel T. Chang, Karyn A. Goodman, et al.. (2012). A phase II multi-institutional study to evaluate gemcitabine and fractionated stereotactic body radiotherapy for unresectable, locally advanced pancreatic adenocarcinoma.. Journal of Clinical Oncology. 30(15_suppl). 4045–4045. 8 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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