John M. Hoffman

16.3k total citations · 3 hit papers
206 papers, 11.6k citations indexed

About

John M. Hoffman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, John M. Hoffman has authored 206 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Pulmonary and Respiratory Medicine and 37 papers in Cognitive Neuroscience. Recurrent topics in John M. Hoffman's work include Medical Imaging Techniques and Applications (69 papers), Dementia and Cognitive Impairment Research (28 papers) and Radiomics and Machine Learning in Medical Imaging (25 papers). John M. Hoffman is often cited by papers focused on Medical Imaging Techniques and Applications (69 papers), Dementia and Cognitive Impairment Research (28 papers) and Radiomics and Machine Learning in Medical Imaging (25 papers). John M. Hoffman collaborates with scholars based in United States, Brazil and Netherlands. John M. Hoffman's co-authors include R. Edward Coleman, Clinton D. Kilts, Scott T. Grafton, John R. Votaw, Tracy L. Faber, Timothy D. Ely, Val J. Lowe, Edward F. Patz, Michael W. Hanson and Timothy G. Turkington and has published in prestigious journals such as Nature, New England Journal of Medicine and Journal of Clinical Oncology.

In The Last Decade

John M. Hoffman

203 papers receiving 11.2k citations

Hit Papers

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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.

Consensus recommendations for the use of 18F-FDG PET as an indicator of therapeutic response in patients in National Cancer Institute Trials.

2006 544 citations John M. Hoffman, Michael M. Graham et al. profile →
Progress and Promise of FDG-PET Imaging for Cancer Patient Management and Oncologic Drug Development

2005 499 citations Gary J. Kelloff, John M. Hoffman et al. Clinical Cancer Research profile →
Performance characteristics of a whole-body PET scanner.

1994 453 citations John M. Hoffman et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
John M. Hoffman	4.4k	2.9k	1.8k	1.6k	1.5k	206	11.6k
Carolyn C. Meltzer	3.5k 0.8×	3.4k 1.2×	1.5k 0.8×	2.1k 1.4×	3.4k 2.2×	215	14.5k
Serge Goldman	2.9k 0.7×	2.7k 0.9×	1.3k 0.7×	1.4k 0.9×	1.3k 0.9×	387	11.5k
Otto Muzik	4.2k 1.0×	2.9k 1.0×	972 0.5×	1.5k 1.0×	2.6k 1.7×	239	12.6k
P. Ellen Grant	5.3k 1.2×	3.4k 1.2×	1.0k 0.6×	1.1k 0.7×	1.9k 1.2×	358	13.6k
Peter Bartenstein	4.6k 1.0×	1.4k 0.5×	3.0k 1.7×	949 0.6×	1.3k 0.9×	400	12.7k
Patrick Dupont	5.2k 1.2×	4.2k 1.5×	2.4k 1.3×	956 0.6×	1.4k 0.9×	340	13.7k
Claus Zimmer	5.2k 1.2×	4.3k 1.5×	2.2k 1.2×	867 0.6×	1.7k 1.1×	577	16.7k
Henrik Larsson	8.0k 1.8×	1.4k 0.5×	1.3k 0.7×	768 0.5×	2.3k 1.5×	305	14.6k
Jeffry R. Alger	5.3k 1.2×	1.8k 0.6×	3.1k 1.7×	904 0.6×	983 0.6×	185	13.9k
Yoshiharu Yonekura	7.1k 1.6×	4.2k 1.5×	2.2k 1.2×	838 0.5×	790 0.5×	455	15.5k

Countries citing papers authored by John M. Hoffman

Since Specialization

Citations

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

Fields of papers citing papers by John M. Hoffman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Hoffman. 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 John M. Hoffman. The network helps show where John M. Hoffman may publish in the future.

Co-authorship network of co-authors of John M. Hoffman

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Hoffman. A scholar is included among the top collaborators of John M. Hoffman 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 John M. Hoffman. John M. Hoffman 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

Hoffman, John M., Hyun Woo Kim, Matthew S. Brown, et al.. (2025). A comparative analysis of image harmonization techniques in mitigating differences in CT acquisition and reconstruction. Physics in Medicine and Biology. 70(5). 55015–55015. 2 indexed citations

Euler, Matthew J., et al.. (2024). Biomarker and neuropsychological correlates of the N400 event-related potential in Alzheimer's disease. International Journal of Psychophysiology. 207. 112464–112464. 1 indexed citations

Koppelmans, Vincent, Marit F. L. Ruitenberg, Sydney Y. Schaefer, et al.. (2023). Delayed and More Variable Unimanual and Bimanual Finger Tapping in Alzheimer’s Disease: Associations with Biomarkers and Applications for Classification. Journal of Alzheimer s Disease. 95(3). 1233–1252. 10 indexed citations

Schaefer, Sydney Y., Kevin Duff, Andrew Hooyman, & John M. Hoffman. (2022). Improving Prediction of Amyloid Deposition in Mild Cognitive Impairment With a Timed Motor Task. American Journal of Alzheimer s Disease & Other Dementias®. 37. 230407494–230407494. 10 indexed citations

Euler, Matthew J., Kevin Duff, Jace B. King, & John M. Hoffman. (2022). Recall and recognition subtests of the repeatable battery for the assessment of neuropsychological status and their relationship to biomarkers of Alzheimer’s disease. Aging Neuropsychology and Cognition. 30(6). 885–902. 4 indexed citations

Agarwal, Neeraj, Roberto Nussenzveig, Andrew W. Hahn, et al.. (2020). Prospective Evaluation of Bone Metabolic Markers as Surrogate Markers of Response to Radium-223 Therapy in Metastatic Castration-resistant Prostate Cancer. Clinical Cancer Research. 26(9). 2104–2110. 16 indexed citations

Christian, Paul E., Simon‐Peter Williams, Andrei Iagaru, et al.. (2019). Optimization of ⁸⁹Zr PET Imaging for Improved Multisite Quantification and Lesion Detection Using an Anthropomorphic Phantom. Journal of Nuclear Medicine Technology. 48(1). 54–57. 4 indexed citations

Hoffman, John M.. (2018). Characterizing and Minimizing the Impacts of Diagnostic Computed Tomography Acquisition and Reconstruction Parameter Selection on Quantitative Emphysema Scoring. eScholarship (California Digital Library). 2 indexed citations

Duff, Kevin, Kevin P. Horn, Norman L. Foster, & John M. Hoffman. (2015). Short-Term Practice Effects and Brain Hypometabolism: Preliminary Data from an FDG PET Study. Archives of Clinical Neuropsychology. 30(3). 264–270. 19 indexed citations

10.

Graham, Michael M., Richard L. Wahl, John M. Hoffman, et al.. (2015). Summary of the UPICT Protocol for ¹⁸F-FDG PET/CT Imaging in Oncology Clinical Trials. Journal of Nuclear Medicine. 56(6). 955–961. 80 indexed citations

11.

Rodrigues, Rosana Souza, Fernando A. Bozza, Paul E. Christian, et al.. (2009). Comparison of Whole-Body PET/CT, Dedicated High-Resolution Head and Neck PET/CT, and Contrast-Enhanced CT in Preoperative Staging of Clinically M0 Squamous Cell Carcinoma of the Head and Neck. Journal of Nuclear Medicine. 50(8). 1205–1213. 74 indexed citations

12.

Neuwelt, Edward A., Csanád Várallyay, Sándor Manninger, et al.. (2007). THE POTENTIAL OF FERUMOXYTOL NANOPARTICLE MAGNETIC RESONANCE IMAGING, PERFUSION, AND ANGIOGRAPHY IN CENTRAL NERVOUS SYSTEM MALIGNANCY. Neurosurgery. 60(4). 601–612. 150 indexed citations

13.

Hoffman, John M., Sanjiv S. Gambhir, & Gary J. Kelloff. (2007). Regulatory and Reimbursement Challenges for Molecular Imaging. Radiology. 245(3). 645–660. 19 indexed citations

14.

Kilts, Clinton D., Glenn Egan, Deborah A. Gideon, Timothy D. Ely, & John M. Hoffman. (2002). Dissociable Neural Pathways Are Involved in the Recognition of Emotion in Static and Dynamic Facial Expressions. NeuroImage. 18(1). 156–168. 272 indexed citations

15.

Croft, Barbara Y. & John M. Hoffman. (2001). NCI-Funded Small Animal Imaging Programs. Academic Radiology. 8(4). 372–374. 1 indexed citations

16.

Votaw, John R., Tracy L. Faber, Thomas R. Henry, et al.. (1999). A Confrontational Naming Task Produces Congruent Increases and Decreases in PET and fMRI. NeuroImage. 10(4). 347–356. 25 indexed citations

17.

Sathian, K., Andro Zangaladze, John M. Hoffman, & Scott T. Grafton. (1997). Feeling with the mindʼs eye. Neuroreport. 8(18). 3877–3881. 182 indexed citations

18.

Hoffman, John M., et al.. (1992). Perfusion Quantitation Using Positron Emission Tomography. Investigative Radiology. 27. S22–S26. 6 indexed citations

19.

Hoffman, John M., Michael W. Hanson, Henry S. Friedman, et al.. (1992). FDG-PET in Pediatric Posterior Fossa Brain Tumors. Journal of Computer Assisted Tomography. 16(1). 62–68. 44 indexed citations

20.

Guzé, Barry H., John M. Hoffman, Lewis R. Baxter, John C. Mazziotta, & Michael E. Phelps. (1991). Functional Brain Imaging and Alzheimer-Type Dementia. Alzheimer Disease & Associated Disorders. 5(4). 215–230. 19 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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