Megan A. Evans

1.7k total citations
31 papers, 1.0k citations indexed

About

Megan A. Evans is a scholar working on Hematology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Megan A. Evans has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hematology, 7 papers in Genetics and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Megan A. Evans's work include Acute Myeloid Leukemia Research (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Megan A. Evans is often cited by papers focused on Acute Myeloid Leukemia Research (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Megan A. Evans collaborates with scholars based in United States, Australia and Japan. Megan A. Evans's co-authors include Kenneth Walsh, Soichi Sano, Grant R. Drummond, Christopher G. Sobey, Elizabeth A. Davis, Timothy W. Jones, Carmel E. Smart, Bruce R. King, Hyun Ah Kim and Patrick McElduff and has published in prestigious journals such as Physiological Reviews, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Megan A. Evans

29 papers receiving 1.0k citations

Peers

Megan A. Evans

EDM

HEMAT

SURGE

GENET

Zoltán Szolnoki Hungary

Nihan Erginel‐Ünaltuna Türkiye

Ioanna Mosialou United States

Altaf A. Kondkar Saudi Arabia

Tomasz Wietecha United States

Udayasankar Arulmani United States

Masaharu Ito Japan

A. Zoli Italy

Kazutaka Ueda Japan

Zoltán Szolnoki Hungary

Megan A. Evans

135 ×0.4

EDM

308 ×1.4

122 ×0.6

HEMAT

126 ×0.7

SURGE

100 ×0.6

GENET

Citations per year, relative to Megan A. Evans Megan A. Evans (= 1×) peers Zoltán Szolnoki

Countries citing papers authored by Megan A. Evans

Since Specialization

Citations

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

Fields of papers citing papers by Megan A. Evans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan A. Evans

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

Arai, Yohei, Nicholas W. Chavkin, Jonatan Halvardson, et al.. (2025). Hematopoietic loss of Y chromosome activates immune checkpoints and contributes to impaired senescent cell clearance and renal disease. Science Translational Medicine. 17(810). eadv4071–eadv4071. 1 indexed citations

Evans, Megan A. & Kenneth Walsh. (2025). Clonal Hematopoiesis in Cancer and Cardiovascular Disease. JACC CardioOncology. 7(5). 470–495. 1 indexed citations

Evans, Megan A., Nicholas W. Chavkin, Soichi Sano, et al.. (2024). Tet2-mediated clonal hematopoiesis modestly improves neurological deficits and is associated with inflammation resolution in the subacute phase of experimental stroke. Frontiers in Cellular Neuroscience. 18. 1487867–1487867.

Wang, Ying, Soichi Sano, Yoshimitsu Yura, et al.. (2024). Tet2-mediated clonal hematopoiesis in non-conditioned mice accelerates age-associated cardiac dysfunction. JCI Insight. 9(21). 2 indexed citations

Horitani, Keita, Nicholas W. Chavkin, Yohei Arai, et al.. (2024). Disruption of the Uty epigenetic regulator locus in hematopoietic cells phenocopies the profibrotic attributes of Y chromosome loss in heart failure. Nature Cardiovascular Research. 3(3). 343–355. 18 indexed citations

Evans, Megan A., et al.. (2023). Regulators of clonal hematopoiesis and physiological consequences of this condition. PubMed. 4(3). 2 indexed citations

Evans, Megan A., et al.. (2023). Resection of a hormonally active carotid body tumor. SHILAP Revista de lepidopterología. 3(2). 100185–100185.

Zhang, Shenpeng R., Hyun Ah Kim, Hannah X. Chu, et al.. (2021). Large-Scale Multivariate Analysis to Interrogate an Animal Model of Stroke: Novel Insights Into Poststroke Pathology. Stroke. 52(11). 3661–3669. 1 indexed citations

Yura, Yoshimitsu, Emiri Miura‐Yura, Yasufumi Katanasaka, et al.. (2021). The Cancer Therapy-Related Clonal Hematopoiesis Driver Gene Ppm1d Promotes Inflammation and Non-Ischemic Heart Failure in Mice. Circulation Research. 129(6). 684–698. 64 indexed citations

10.

Evans, Megan A., Heather Doviak, Keita Horitani, et al.. (2021). Bone Marrow Transplantation Procedures in Mice to Study Clonal Hematopoiesis. Journal of Visualized Experiments. 18 indexed citations

11.

Wang, Ying, Soichi Sano, Yoshimitsu Yura, et al.. (2020). Tet2-mediated clonal hematopoiesis in nonconditioned mice accelerates age-associated cardiac dysfunction. JCI Insight. 5(6). 121 indexed citations

12.

Jung, Chang Hee, Megan A. Evans, & Kenneth Walsh. (2020). Genetics of age-related clonal hematopoiesis and atherosclerotic cardiovascular disease. Current Opinion in Cardiology. 35(3). 219–225. 7 indexed citations

13.

Sano, Soichi, Ying Wang, Megan A. Evans, et al.. (2019). Lentiviral CRISPR/Cas9-Mediated Genome Editing for the Study of Hematopoietic Cells in Disease Models. Journal of Visualized Experiments. 5 indexed citations

14.

Lopez, Prudence, Megan A. Evans, Bruce R. King, et al.. (2018). A randomized comparison of three prandial insulin dosing algorithms for children and adolescents with Type 1 diabetes. Diabetic Medicine. 35(10). 1440–1447. 28 indexed citations

15.

Evans, Megan A., Hyun Ah Kim, Yeong Hann Ling, et al.. (2018). Vitamin D3 Supplementation Reduces Subsequent Brain Injury and Inflammation Associated with Ischemic Stroke. NeuroMolecular Medicine. 20(1). 147–159. 72 indexed citations

16.

Zhang, Shenpeng R., Hannah X. Chu, Brad R. S. Broughton, et al.. (2018). IL-33 modulates inflammatory brain injury but exacerbates systemic immunosuppression following ischemic stroke. JCI Insight. 3(18). 51 indexed citations

17.

Dinh, Quynh Nhu, Morag J. Young, Megan A. Evans, et al.. (2016). Aldosterone-induced oxidative stress and inflammation in the brain are mediated by the endothelial cell mineralocorticoid receptor. Brain Research. 1637. 146–153. 64 indexed citations

18.

Clapin, Helen, Le Thi Hop, Ewan Ritchie, et al.. (2016). Home-based vs inpatient education for children newly diagnosed with type 1 diabetes. Pediatric Diabetes. 18(7). 579–587. 18 indexed citations

19.

Lee, Seyoung, Megan A. Evans, Hannah X. Chu, et al.. (2015). Effect of a Selective Mas Receptor Agonist in Cerebral Ischemia In Vitro and In Vivo. PLoS ONE. 10(11). e0142087–e0142087. 27 indexed citations

20.

Lee, Seyoung, Vanessa H. Brait, Thiruma V. Arumugam, et al.. (2012). Neuroprotective effect of an angiotensin receptor type 2 agonist following cerebral ischemia in vitro and in vivo. PubMed. 4(1). 16–16. 30 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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