Justin M. Honce

935 total citations
39 papers, 641 citations indexed

About

Justin M. Honce is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Justin M. Honce has authored 39 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pathology and Forensic Medicine and 11 papers in Neurology. Recurrent topics in Justin M. Honce's work include Multiple Sclerosis Research Studies (11 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Justin M. Honce is often cited by papers focused on Multiple Sclerosis Research Studies (11 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Justin M. Honce collaborates with scholars based in United States, Tanzania and Brazil. Justin M. Honce's co-authors include Lídia Nagae, Augusto Miravalle, Eric Nyberg, Danielle E. Harlow, Stefan Sillau, Brian D. Berman, Thorsten Rudroff, Jody Tanabe, Erika Shelton and Fred Lublin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Neurology.

In The Last Decade

Justin M. Honce

38 papers receiving 628 citations

Peers

Countries citing papers authored by Justin M. Honce

Since Specialization

Citations

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

Fields of papers citing papers by Justin M. Honce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin M. Honce

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

#	Work	Indexed citations
1	Evaluating the Quality and Understandability of Radiology Report Summaries Generated by ChatGPT: Survey Study 2025 ·JMIR Formative Research ·Abraham Sunshine, (unknown), Andrew L. Callen, David Zander, Jody Tanabe, (unknown), Chen‐Tan Lin, Justin M. Honce	0
2	Automated Volumetric Software in Dementia: Help or Hindrance to the Neuroradiologist? 2024 ·American Journal of Neuroradiology ·Jody Tanabe, (unknown), (unknown), Jack Pattee, (unknown), Peter Pressman, Brianne M. Bettcher, Justin M. Honce, (unknown), (unknown), David Zander, Ashesh A. Thaker	2
3	RAPID Aneurysm: Artificial intelligence for unruptured cerebral aneurysm detection on CT angiography 2022 ·Journal of Stroke and Cerebrovascular Diseases ·Jeremy J. Heit, Justin M. Honce, Vivek Yedavalli, Carlos E. Baccin, (unknown), Karen Copeland, Vincent M. Timpone	14
4	Intracranial meningioma surveillance using volumetrics from T2‐weighted MRI 2021 ·Journal of Neuroimaging ·(unknown), Sohil H. Patel, Justin M. Honce, David Rubinstein, Peter E. DeWitt, Vincent M. Timpone	5
5	Understanding Patient Experiences, Opinions, and Actions Taken After Viewing Their Own Radiology Images Online: Web-Based Survey 2021 ·JMIR Formative Research ·(unknown), (unknown), Peter B. Sachs, Chen‐Tan Lin, (unknown), Justin M. Honce	9
6	Brain atrophy rates in patients with multiple sclerosis on long term natalizumab resembles healthy controls 2021 ·Multiple Sclerosis and Related Disorders ·Enrique Álvarez, Kavita Nair, (unknown), (unknown), Stefan Sillau, Augusto Miravalle, (unknown), (unknown), John R. Corboy, Timothy R. Vollmer, Justin M. Honce	10
7	Central Nervous System Response to Selpercartinib in Patient With RET-rearranged Non-small Cell Lung Cancer After Developing Leptomeningeal Disease on Pralsetinib 2021 ·Clinical Lung Cancer ·David Chun Cheong Tsui, Brian D. Kavanagh, Justin M. Honce, (unknown), Tejas Patil, D. Ross Camidge	15
8	Brain Atrophy Rates for Stable Multiple Sclerosis Patients on Long-Term Fingolimod versus Glatiramer Acetate 2020 ·Frontiers in Neurology ·Justin M. Honce, Kavita Nair, (unknown), (unknown), Stefan Sillau, (unknown), (unknown), John R. Corboy, Timothy R. Vollmer, Enrique Álvarez	5
9	Subjective cognitive concern in multiple sclerosis is associated with reduced thalamic and cortical gray matter volumes 2019 ·Multiple Sclerosis Journal - Experimental Translational and Clinical ·(unknown), Enrique Álvarez, Justin M. Honce, (unknown), Timothy Vollmer, Luis D. Medina	21
10	A Clinical Paradigm for Classifying Neurologic Symptoms to Screen for Emergent Large Vessel Occlusions 2019 ·Journal of Stroke and Cerebrovascular Diseases ·Rebecca Pollard, Michelle Leppert, (unknown), (unknown), Justin M. Honce, Lídia Nagae, Sharon N. Poisson, Eric Nyberg	3
11	The impact of very short transition times on switching from Natalizumab to Fingolimod on imaging and clinical effectiveness outcomes in multiple sclerosis 2018 ·Journal of the Neurological Sciences ·(unknown), Justin M. Honce, Stefan Sillau, John R. Corboy, Timothy Vollmer, Kavita Nair, Enrique Álvarez	10
12	Isolated focal dystonia phenotypes are associated with distinct patterns of altered microstructure 2018 ·NeuroImage Clinical ·Brian D. Berman, Justin M. Honce, (unknown), Stefan Sillau, Lídia Nagae	25
13	Cannabis use in people with Parkinson’s disease and Multiple Sclerosis: A web-based investigation 2017 ·Complementary Therapies in Medicine ·John H. Kindred, Kaigang Li, (unknown), (unknown), Brett W. Fling, Justin M. Honce, (unknown), Thorsten Rudroff	56
14	Cannabis and Multiple Sclerosis—The Way Forward 2017 ·Frontiers in Neurology ·Thorsten Rudroff, Justin M. Honce	14
15	PRES: Review of Histological Features 2017 ·Journal of Neuropathology & Experimental Neurology ·(unknown), Justin M. Honce, Bette K. Kleinschmidt‐DeMasters	14
16	The Addition of Endovascular Intervention for Dural Venous Sinus Thrombosis: Single-Center Experience and Review of Literature 2017 ·Journal of Stroke and Cerebrovascular Diseases ·Eric Nyberg, David Case, Lídia Nagae, Justin M. Honce, (unknown), Joshua Seinfeld, Sharon N. Poisson, Michelle Leppert	13
17	Microstructural Changes within the Basal Ganglia Differ between Parkinson Disease Subtypes 2016 ·Frontiers in Neuroanatomy ·Lídia Nagae, Justin M. Honce, Jody Tanabe, Erika Shelton, Stefan Sillau, Brian D. Berman	44
18	Remyelination Therapy in Multiple Sclerosis 2015 ·Frontiers in Neurology ·Danielle E. Harlow, Justin M. Honce, Augusto Miravalle	63
19	Differential diagnosis of Mendelian and mitochondrial disorders in patients with suspected multiple sclerosis 2015 ·Brain ·James D. Weisfeld‐Adams, (unknown), Justin M. Honce, Fred Lublin	38
20	Morphologic changes in the mesolimbic pathway in Parkinson's disease motor subtypes 2015 ·Parkinsonism & Related Disorders ·Eric Nyberg, Jody Tanabe, Justin M. Honce, (unknown), Erika Shelton, (unknown), Brian D. Berman	24

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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