Rhonda Lightle

1.8k total citations
27 papers, 507 citations indexed

About

Rhonda Lightle is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Rhonda Lightle has authored 27 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Neurology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Rhonda Lightle's work include Vascular Malformations Diagnosis and Treatment (21 papers), Intracranial Aneurysms: Treatment and Complications (17 papers) and Intracerebral and Subarachnoid Hemorrhage Research (15 papers). Rhonda Lightle is often cited by papers focused on Vascular Malformations Diagnosis and Treatment (21 papers), Intracranial Aneurysms: Treatment and Complications (17 papers) and Intracerebral and Subarachnoid Hemorrhage Research (15 papers). Rhonda Lightle collaborates with scholars based in United States, China and France. Rhonda Lightle's co-authors include Issam A. Awad, Thomas Moore, Romuald Girard, Robert Shenkar, Douglas A. Marchuk, Ying Cao, Carol J. Gallione, Changbin Shi, Hussein A. Zeineddine and James K. Liao and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Circulation Research.

In The Last Decade

Rhonda Lightle

24 papers receiving 499 citations

Peers

Rhonda Lightle

NEURO

BIOEN

SURGE

Federico Casale Italy

Prajna Behera United States

Sandrine Poëa‐Guyon France

Michio Ono Japan

André Heinen Germany

Ahmed Moghieb United States

Chengtai Li China

Mitrajit Ghosh Germany

Yongxia Qu United States

Federico Casale Italy

Rhonda Lightle

199 ×0.7

NEURO

115 ×1.1

6 ×0.1

BIOEN

9 ×0.2

SURGE

22 ×0.6

Citations per year, relative to Rhonda Lightle Rhonda Lightle (= 1×) peers Federico Casale

Countries citing papers authored by Rhonda Lightle

Since Specialization

Citations

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

Fields of papers citing papers by Rhonda Lightle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rhonda Lightle. 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 Rhonda Lightle. The network helps show where Rhonda Lightle may publish in the future.

Co-authorship network of co-authors of Rhonda Lightle

This figure shows the co-authorship network connecting the top 25 collaborators of Rhonda Lightle. A scholar is included among the top collaborators of Rhonda Lightle 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 Rhonda Lightle. Rhonda Lightle 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

Iqbal, Javed, Abhinav Srinath, Carolyn M. Bennett, et al.. (2025). A Systematic Review of MicroRNAs in Hemorrhagic Neurovascular Disease: Cerebral Cavernous Malformations as a Paradigm. International Journal of Molecular Sciences. 26(8). 3794–3794.

Li, Lun, Aileen A. Ren, Siqi Gao, et al.. (2023). mTORC1 Inhibitor Rapamycin Inhibits Growth of Cerebral Cavernous Malformation in Adult Mice. Stroke. 54(11). 2906–2917. 7 indexed citations

Snellings, Daniel, Romuald Girard, Carol J. Gallione, et al.. (2023). Single-nucleus DNA sequencing reveals hidden somatic loss-of-heterozygosity in Cerebral Cavernous Malformations. Nature Communications. 14(1). 7009–7009. 6 indexed citations

Srinath, Abhinav, Rhonda Lightle, Robert Shenkar, et al.. (2023). Inflammatory Mechanisms in a Neurovascular Disease: Cerebral Cavernous Malformation. Brain Sciences. 13(9). 1336–1336. 3 indexed citations

Snellings, Daniel, Romuald Girard, Rhonda Lightle, et al.. (2022). Developmental venous anomalies are a genetic primer for cerebral cavernous malformations. Nature Cardiovascular Research. 1(3). 246–252. 27 indexed citations

McCurdy, Sara, Jenny Lin, Robert Shenkar, et al.. (2022). β1 integrin monoclonal antibody treatment ameliorates cerebral cavernous malformations. The FASEB Journal. 36(12). e22629–e22629. 4 indexed citations

Li, Wenqing, Iftach Shaked, Thomas Moore, et al.. (2021). Abortive intussusceptive angiogenesis causes multi-cavernous vascular malformations. eLife. 10. 11 indexed citations

Sone, Je Yeong, Yan Li, Nicholas Hobson, et al.. (2021). Perfusion and permeability as diagnostic biomarkers of cavernous angioma with symptomatic hemorrhage. Journal of Cerebral Blood Flow & Metabolism. 41(11). 2944–2956. 4 indexed citations

Detter, Matthew R., Robert Shenkar, Thomas Moore, et al.. (2020). Novel Murine Models of Cerebral Cavernous Malformations. Angiogenesis. 23(4). 651–666. 26 indexed citations

10.

Li, Wenqing, Robert Shenkar, Matthew R. Detter, et al.. (2020). Propranolol inhibits cavernous vascular malformations by β1 adrenergic receptor antagonism in animal models. Journal of Clinical Investigation. 131(3). 26 indexed citations

11.

Koskimäki, Janne, Sean P. Polster, Yan Li, et al.. (2020). Common transcriptome, plasma molecules, and imaging signatures in the aging brain and a Mendelian neurovascular disease, cerebral cavernous malformation. GeroScience. 42(5). 1351–1363. 6 indexed citations

12.

Zhang, Dongdong, Abhinav Srinath, Robert Shenkar, et al.. (2020). Antibodies in cerebral cavernous malformations react with cytoskeleton autoantigens in the lesional milieu. Journal of Autoimmunity. 113. 102469–102469. 6 indexed citations

13.

McKerracher, Lisa, Robert Shenkar, Ying Cao, et al.. (2019). A Brain-Targeted Orally Available ROCK2 Inhibitor Benefits Mild and Aggressive Cavernous Angioma Disease. Translational Stroke Research. 11(3). 365–376. 26 indexed citations

14.

Shenkar, Robert, Thomas Moore, Rhonda Lightle, et al.. (2019). Rho Kinase Inhibition Blunts Lesion Development and Hemorrhage in Murine Models of Aggressive Pdcd10/Ccm3 Disease. Stroke. 50(3). 738–744. 37 indexed citations

15.

Girard, Romuald, Hussein A. Zeineddine, Courtney P. Orsbon, et al.. (2016). Micro-computed tomography in murine models of cerebral cavernous malformations as a paradigm for brain disease. Journal of Neuroscience Methods. 271. 14–24. 16 indexed citations

16.

Shi, Changbin, Robert Shenkar, Hussein A. Zeineddine, et al.. (2016). B-Cell Depletion Reduces the Maturation of Cerebral Cavernous Malformations in Murine Models. Journal of Neuroimmune Pharmacology. 11(2). 369–377. 30 indexed citations

17.

Shenkar, Robert, Changbin Shi, Thomas Moore, et al.. (2016). RhoA Kinase Inhibition With Fasudil Versus Simvastatin in Murine Models of Cerebral Cavernous Malformations. Stroke. 48(1). 187–194. 69 indexed citations

18.

McLellan, Chris, et al.. (2001). Spatial Glutathione and Cysteine Distribution and Chemical Modulation in the Early Organogenesis-Stage Rat Conceptus in Utero. Toxicological Sciences. 62(1). 92–102. 11 indexed citations

19.

McLellan, Clifton J., Rhonda Lightle, Melissa J. Beck, M Philbert, & C C Harris. (1998). Glutathione (GSH) Depletion and Modulation in Organogenesis-Stage Rat Conceptuses Exposed In Vivo to Acetaminophen (APAP). Birth Defects Research. 57. 236. 1 indexed citations

20.

Lightle, Rhonda, et al.. (1997). Supplemental myo-inositol prevents L-fucose-induced diabetic neuropathy. Diabetes. 46(2). 301–306. 10 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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