Gary A. Rosenberg

25.2k total citations · 7 hit papers
201 papers, 19.5k citations indexed

About

Gary A. Rosenberg is a scholar working on Neurology, Molecular Biology and Cancer Research. According to data from OpenAlex, Gary A. Rosenberg has authored 201 papers receiving a total of 19.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Neurology, 51 papers in Molecular Biology and 50 papers in Cancer Research. Recurrent topics in Gary A. Rosenberg's work include Protease and Inhibitor Mechanisms (49 papers), Neurological Disease Mechanisms and Treatments (38 papers) and Acute Ischemic Stroke Management (30 papers). Gary A. Rosenberg is often cited by papers focused on Protease and Inhibitor Mechanisms (49 papers), Neurological Disease Mechanisms and Treatments (38 papers) and Acute Ischemic Stroke Management (30 papers). Gary A. Rosenberg collaborates with scholars based in United States, Germany and Canada. Gary A. Rosenberg's co-authors include Yi Yang, Eduardo Y. Estrada, Sheila Mun-Bryce, John E. Dencoff, Fakhreya Y. Jalal, Eduardo Candelario‐Jalil, Jeffrey F. Thompson, Mario Kornfeld, Lee Anna Cunningham and Richard L. Jayaraj and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Gary A. Rosenberg

198 papers receiving 19.1k citations

Hit Papers

National Institute of Neurological Disorders and... 1990 2026 2002 2014 2006 2019 2006 2002 1998 400 800 1.2k
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.

  1. National Institute of Neurological Disorders and Stroke–Canadian Stroke Network Vascular Cognitive Impairment Harmonization Standards
    2006 1.2k citations Vladimir Hachinski, Costantino Iadecola et al. Stroke profile →
  2. Neuroinflammation: friend and foe for ischemic stroke
    2019 1.0k citations Richard L. Jayaraj, Sheikh Azimullah et al. Journal of Neuroinflammation profile →
  3. Matrix Metalloproteinase-Mediated Disruption of Tight Junction Proteins in Cerebral Vessels is Reversed by Synthetic Matrix Metalloproteinase Inhibitor in Focal Ischemia in Rat
    2006 890 citations Yi Yang, Eduardo Y. Estrada et al. Journal of Cerebral Blood Flow & Metabolism profile →
  4. Matrix metalloproteinases in neuroinflammation
    2002 737 citations Gary A. Rosenberg profile →
  5. Matrix Metalloproteinases and TIMPs Are Associated With Blood-Brain Barrier Opening After Reperfusion in Rat Brain
    1998 718 citations Gary A. Rosenberg, Eduardo Y. Estrada et al. Stroke profile →
  6. Blood–Brain Barrier Breakdown in Acute and Chronic Cerebrovascular Disease
    2011 610 citations Yi Yang, Gary A. Rosenberg Stroke profile →
  7. Collagenase-induced intracerebral hemorrhage in rats.
    1990 503 citations Gary A. Rosenberg et al. Stroke profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary A. Rosenberg United States 68 6.8k 5.1k 4.2k 3.9k 3.5k 201 19.5k
Matthias Endres Germany 81 4.0k 0.6× 6.8k 1.3× 3.7k 0.9× 5.5k 1.4× 1.3k 0.4× 560 24.1k
James R. Connor United States 86 3.7k 0.5× 5.7k 1.1× 5.3k 1.3× 3.3k 0.8× 1.1k 0.3× 386 24.5k
Mei Lü United States 80 4.7k 0.7× 7.0k 1.4× 3.3k 0.8× 5.8k 1.5× 1.9k 0.5× 377 24.3k
V. Wee Yong Canada 100 7.8k 1.1× 10.0k 2.0× 4.4k 1.1× 1.9k 0.5× 4.0k 1.1× 437 30.1k
Eng H. Lo United States 97 11.9k 1.7× 12.1k 2.4× 7.3k 1.8× 8.2k 2.1× 4.4k 1.3× 470 35.9k
Ingo Bechmann Germany 72 6.6k 1.0× 4.2k 0.8× 1.6k 0.4× 1.6k 0.4× 1.3k 0.4× 217 17.7k
Seung Up Kim South Korea 85 4.3k 0.6× 9.8k 1.9× 2.4k 0.6× 9.7k 2.5× 1.9k 0.5× 839 32.8k
Andreas Meisel Germany 63 4.3k 0.6× 4.1k 0.8× 3.7k 0.9× 3.5k 0.9× 801 0.2× 317 15.6k
Gary K. Steinberg United States 86 4.5k 0.7× 6.3k 1.2× 10.3k 2.5× 3.4k 0.9× 792 0.2× 521 26.7k
Catriona McLean Australia 69 2.5k 0.4× 7.1k 1.4× 2.9k 0.7× 1.8k 0.5× 1.2k 0.3× 471 19.5k

Countries citing papers authored by Gary A. Rosenberg

Since Specialization
Citations

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

Fields of papers citing papers by Gary A. Rosenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary A. Rosenberg. 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 Gary A. Rosenberg. The network helps show where Gary A. Rosenberg may publish in the future.

Co-authorship network of co-authors of Gary A. Rosenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Gary A. Rosenberg. A scholar is included among the top collaborators of Gary A. Rosenberg 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 Gary A. Rosenberg. Gary A. Rosenberg 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.
Ryman, Sephira G., et al.. (2024). Blood–Brain Barrier Permeability Is Associated With Cognitive Functioning in Normal Aging and Neurodegenerative Diseases. Journal of the American Heart Association. 13(14). e034225–e034225. 10 indexed citations
2.
Caprihan, Arvind, Erik B. Erhardt, John C. Adair, et al.. (2023). A trichotomy method for defining homogeneous subgroups in a dementia population. Annals of Clinical and Translational Neurology. 10(10). 1802–1815. 2 indexed citations
3.
Caprihan, Arvind, Rajikha Raja, Erik B. Erhardt, et al.. (2021). A double-dichotomy clustering of dual pathology dementia patients. SHILAP Revista de lepidopterología. 2. 100011–100011. 6 indexed citations
4.
Raja, Rajikha, Arvind Caprihan, Gary A. Rosenberg, Srinivas Rachakonda, & Vince D. Calhoun. (2020). Discriminating VCID subgroups: A diffusion MRI multi-model fusion approach. Journal of Neuroscience Methods. 335. 108598–108598. 4 indexed citations
5.
Jayaraj, Richard L., Sheikh Azimullah, Rami Beiram, Fakhreya Y. Jalal, & Gary A. Rosenberg. (2019). Neuroinflammation: friend and foe for ischemic stroke. Journal of Neuroinflammation. 16(1). 142–142. 1031 indexed citations breakdown →
6.
Raja, Rajikha, Gary A. Rosenberg, & Arvind Caprihan. (2018). Review of diffusion MRI studies in chronic white matter diseases. Neuroscience Letters. 694. 198–207. 47 indexed citations
7.
Raja, Rajikha, Gary A. Rosenberg, & Arvind Caprihan. (2017). MRI measurements of Blood-Brain Barrier function in dementia: A review of recent studies. Neuropharmacology. 134(Pt B). 259–271. 115 indexed citations
8.
9.
Hill, Jeff W., Jeffrey F. Thompson, Mark B. Carter, et al.. (2014). Identification of Isoxsuprine Hydrochloride as a Neuroprotectant in Ischemic Stroke through Cell-Based High-Throughput Screening. PLoS ONE. 9(5). e96761–e96761. 10 indexed citations
10.
Yang, Yi, Jeffrey F. Thompson, Saeid Taheri, et al.. (2013). Early Inhibition of MMP Activity in Ischemic Rat Brain Promotes Expression of Tight Junction Proteins and Angiogenesis During Recovery. Journal of Cerebral Blood Flow & Metabolism. 33(7). 1104–1114. 126 indexed citations
11.
Yang, Yi, Fakhreya Y. Jalal, Jeffrey F. Thompson, et al.. (2011). Tissue inhibitor of metalloproteinases-3 mediates the death of immature oligodendrocytes via TNF-α/TACE in focal cerebral ischemia in mice. Journal of Neuroinflammation. 8(1). 108–108. 56 indexed citations
12.
Yang, Yi, Jeff W. Hill, & Gary A. Rosenberg. (2011). Multiple Roles of Metalloproteinases in Neurological Disorders. Progress in molecular biology and translational science. 99. 241–263. 53 indexed citations
13.
Taheri, Saeid, Eduardo Candelario‐Jalil, Eduardo Y. Estrada, & Gary A. Rosenberg. (2009). Spatiotemporal Correlations between Blood-Brain Barrier Permeability and Apparent Diffusion Coefficient in a Rat Model of Ischemic Stroke. PLoS ONE. 4(8). e6597–e6597. 35 indexed citations
14.
15.
Wetzel, Monica K., Kristian Harms, Tamara Roitbak, et al.. (2007). Tissue inhibitor of metalloproteinases-3 facilitates Fas-mediated neuronal cell death following mild ischemia. Cell Death and Differentiation. 15(1). 143–151. 64 indexed citations
16.
Hachinski, Vladimir, Costantino Iadecola, Ron Petersen, et al.. (2006). National Institute of Neurological Disorders and Stroke–Canadian Stroke Network Vascular Cognitive Impairment Harmonization Standards. Stroke. 37(9). 2220–2241. 1218 indexed citations breakdown →
17.
Özdemir, Yasemin, Jianhua Qiu, Norihiro Matsuoka, et al.. (2004). Cortical spreading depression activates and upregulates MMP-9. Journal of Clinical Investigation. 113(10). 1447–1455. 390 indexed citations
18.
Özdemir, Yasemin, Jianhua Qiu, Norihiro Matsuoka, et al.. (2004). Cortical spreading depression activates and upregulates MMP-9. Journal of Clinical Investigation. 113(10). 1447–1455. 373 indexed citations
19.
20.
Koto, Akiko, Gary A. Rosenberg, Lawrence H. Zingesser, Dikran S. Horoupian, & Robert Katzman. (1977). Syndrome of normal pressure hydrocephalus: possible relation to hypertensive and arteriosclerotic vasculopathy.. Journal of Neurology Neurosurgery & Psychiatry. 40(1). 73–79. 88 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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