David J. Irwin

25.2k total citations · 3 hit papers
274 papers, 10.1k citations indexed

About

David J. Irwin is a scholar working on Physiology, Neurology and Psychiatry and Mental health. According to data from OpenAlex, David J. Irwin has authored 274 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Physiology, 112 papers in Neurology and 91 papers in Psychiatry and Mental health. Recurrent topics in David J. Irwin's work include Alzheimer's disease research and treatments (114 papers), Parkinson's Disease Mechanisms and Treatments (85 papers) and Dementia and Cognitive Impairment Research (83 papers). David J. Irwin is often cited by papers focused on Alzheimer's disease research and treatments (114 papers), Parkinson's Disease Mechanisms and Treatments (85 papers) and Dementia and Cognitive Impairment Research (83 papers). David J. Irwin collaborates with scholars based in United States, Netherlands and United Kingdom. David J. Irwin's co-authors include John Q. Trojanowski, Virginia M.‐Y. Lee, Murray Grossman, Edward B. Lee, Vivianna M. Van Deerlin, Corey T. McMillan, Jon B. Toledo, Sharon X. Xie, John Robinson and Howard I. Hurtig and has published in prestigious journals such as Cell, The Lancet and Journal of Biological Chemistry.

In The Last Decade

David J. Irwin

259 papers receiving 9.9k citations

Hit Papers

Stages of pTDP‐43 pathology in amyotrophic lateral sclerosis 2013 2026 2017 2021 2013 2013 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Irwin United States 50 4.9k 4.1k 2.7k 2.1k 1.6k 274 10.1k
Vivianna M. Van Deerlin United States 53 6.0k 1.2× 4.1k 1.0× 2.4k 0.9× 1.5k 0.7× 2.1k 1.3× 148 9.6k
Patrick Vermersch France 54 4.6k 0.9× 2.6k 0.6× 1.9k 0.7× 2.1k 1.0× 1.5k 0.9× 391 13.7k
Adam L. Boxer United States 56 4.3k 0.9× 4.6k 1.1× 2.9k 1.1× 3.1k 1.5× 2.2k 1.3× 213 11.4k
Jillian J. Kril Australia 59 4.7k 1.0× 3.6k 0.9× 2.2k 0.8× 2.2k 1.1× 2.3k 1.4× 195 11.9k
Marcel M. Verbeek Netherlands 65 4.4k 0.9× 5.1k 1.2× 4.1k 1.5× 2.2k 1.1× 2.2k 1.3× 294 12.9k
Mark S. Forman United States 47 4.7k 1.0× 4.0k 1.0× 2.9k 1.1× 1.3k 0.6× 1.7k 1.0× 82 9.1k
Edward B. Lee United States 53 4.9k 1.0× 4.2k 1.0× 3.7k 1.4× 1.4k 0.7× 1.9k 1.2× 208 10.6k
Thomas Arzberger Germany 46 4.3k 0.9× 3.3k 0.8× 3.6k 1.3× 1.0k 0.5× 1.7k 1.0× 116 9.7k
Simon Mead United Kingdom 51 3.2k 0.7× 2.9k 0.7× 4.9k 1.8× 1.3k 0.6× 2.9k 1.8× 195 9.1k
Barbara Borroni Italy 60 4.8k 1.0× 5.0k 1.2× 2.2k 0.8× 3.4k 1.6× 3.3k 2.0× 361 13.1k

Countries citing papers authored by David J. Irwin

Since Specialization
Citations

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

Fields of papers citing papers by David J. Irwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Irwin. 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 David J. Irwin. The network helps show where David J. Irwin may publish in the future.

Co-authorship network of co-authors of David J. Irwin

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

All Works

20 of 20 papers shown
1.
Irwin, David J.. (2025). The potential of TDP-43 PET ligands for a biological diagnosis of TDP-43 proteinopathies. Nature Communications. 16(1). 9357–9357.
2.
Cho, Sunghye, Sharon Ash, Katheryn A Q Cousins, et al.. (2025). Automatic quantification of syntactic complexity in natural spontaneous speech of people with primary progressive aphasia. Aphasiology. 40(3). 561–582.
3.
Vermunt, Lisa, Carel F.W. Peeters, Emma L. van der Ende, et al.. (2025). Large-scale CSF proteome profiling identifies biomarkers for accurate diagnosis of frontotemporal dementia. Molecular Neurodegeneration. 20(1). 93–93. 1 indexed citations
4.
Cousins, Katheryn A Q, Jeffrey S. Phillips, Sandhitsu R. Das, et al.. (2024). Pathologic and cognitive correlates of plasma biomarkers in neurodegenerative disease. Alzheimer s & Dementia. 20(6). 3889–3905. 16 indexed citations
5.
Das, Sandhitsu R., Christopher A. Olm, Katheryn A Q Cousins, et al.. (2024). Posterior hippocampal sparing in Lewy body disorders with Alzheimer’s copathology: An in vivo MRI study. NeuroImage Clinical. 45. 103714–103714. 1 indexed citations
6.
McMillan, Corey T., et al.. (2023). Racial Differences in Clinical Presentation in Individuals Diagnosed With Frontotemporal Dementia. JAMA Neurology. 80(11). 1191–1191. 3 indexed citations
7.
Ende, Emma L. van der, Sjors G. J. G. In ‘t Veld, Sven J. van der Lee, et al.. (2023). CSF proteomics in autosomal dominant Alzheimer’s disease highlights parallels with sporadic disease. Brain. 146(11). 4495–4507. 27 indexed citations
8.
Shellikeri, Sanjana, Sunghye Cho, Sharon Ash, et al.. (2023). Digital markers of motor speech impairments in spontaneous speech of patients with ALS-FTD spectrum disorders. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 25(3-4). 317–325. 1 indexed citations
9.
Campo, Marta del, Lisa Vermunt, Carel F.W. Peeters, et al.. (2023). CSF proteome profiling reveals biomarkers to discriminate dementia with Lewy bodies from Alzheimer´s disease. Nature Communications. 14(1). 5635–5635. 31 indexed citations
10.
Uemura, Maiko, Eun Ran Suh, John Robinson, et al.. (2022). Abundant copathologies of polyglucosan bodies, frontotemporal lobar degeneration with TDP‐43 inclusions and ageing‐related tau astrogliopathy in a family with a GBE1 mutation. Neuropathology and Applied Neurobiology. 49(1). e12865–e12865. 4 indexed citations
11.
Cousins, Katheryn A Q, Sanjana Shellikeri, Daniel T. Ohm, et al.. (2022). CSF Biomarkers of Alzheimer Disease in Patients With Concomitant α-Synuclein Pathology. Neurology. 99(20). e2303–e2312. 13 indexed citations
12.
Shellikeri, Sanjana, Sunghye Cho, Katheryn A Q Cousins, et al.. (2022). Natural speech markers of Alzheimer's disease co-pathology in Lewy body dementias. Parkinsonism & Related Disorders. 102. 94–100. 7 indexed citations
13.
Coughlin, David G., Annie Hiniker, Claire Peterson, et al.. (2022). Digital Histological Study of Neocortical Grey and White Matter Tau Burden Across Tauopathies. Journal of Neuropathology & Experimental Neurology. 81(12). 953–964. 7 indexed citations
14.
Burke, Sarah, Jeffrey S. Phillips, Christopher A. Olm, et al.. (2022). Phases of volume loss in patients with known frontotemporal lobar degeneration spectrum pathology. Neurobiology of Aging. 113. 95–107. 6 indexed citations
15.
Cho, Sunghye, Katheryn A Q Cousins, Sanjana Shellikeri, et al.. (2022). Lexical and Acoustic Speech Features Relating to Alzheimer Disease Pathology. Neurology. 99(4). e313–e322. 27 indexed citations
16.
Cousins, Katheryn A Q, David J. Irwin, David A. Wolk, et al.. (2020). ATN status in amnestic and non-amnestic Alzheimer’s disease and frontotemporal lobar degeneration. Brain. 143(7). 2295–2311. 28 indexed citations
17.
Phillips, Jeffrey S., Fulvio Da Re, Sharon X. Xie, et al.. (2017). Neocortical origin and progression of gray matter atrophy in nonamnestic Alzheimer's disease. Neurobiology of Aging. 63. 75–87. 52 indexed citations
18.
Phillips, Jeffrey S., Sandhitsu R. Das, Corey T. McMillan, et al.. (2017). Tau PET imaging predicts cognition in atypical variants of Alzheimer's disease. Human Brain Mapping. 39(2). 691–708. 49 indexed citations
19.
Irwin, David J., et al.. (2002). Disposal of syringes, needles, and lancets used by diabetic patients in North East Essex.. PubMed. 5(2). 134–7. 8 indexed citations
20.
Irwin, David J.. (1972). Neo-Classical Design: Industry Plunders Antiquity. Apollo: The international magazine of arts. 288–297.

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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