Anna Barkaway

1.1k total citations
9 papers, 501 citations indexed

About

Anna Barkaway is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, Anna Barkaway has authored 9 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Neurology. Recurrent topics in Anna Barkaway's work include Nuclear Structure and Function (3 papers), RNA Research and Splicing (3 papers) and Barrier Structure and Function Studies (2 papers). Anna Barkaway is often cited by papers focused on Nuclear Structure and Function (3 papers), RNA Research and Splicing (3 papers) and Barrier Structure and Function Studies (2 papers). Anna Barkaway collaborates with scholars based in United Kingdom, Spain and United States. Anna Barkaway's co-authors include Loïc Rolas, Sussan Nourshargh, Mathieu-Benoı̂t Voisin, Tamara Girbl, David Sancho, Elin Hub, Lorena Pérez, Ulrich H. von Andrian, Gerard J. Graham and Eleanor Lynam and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Anna Barkaway

9 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Barkaway United Kingdom	8	252	194	70	57	44	9	501
Eriko Komiya Japan	13	168 0.7×	140 0.7×	113 1.6×	86 1.5×	22 0.5×	30	498
Melissa LaJevic United States	8	160 0.6×	189 1.0×	82 1.2×	21 0.4×	56 1.3×	10	383
Gray Roberge United States	4	182 0.7×	293 1.5×	45 0.6×	25 0.4×	49 1.1×	5	484
Xiaomin Feng China	9	282 1.1×	168 0.9×	70 1.0×	35 0.6×	38 0.9×	22	606
Jie Zhang-Hoover United States	10	115 0.5×	323 1.7×	49 0.7×	43 0.8×	49 1.1×	14	547
Eleanor Lynam United Kingdom	3	84 0.3×	167 0.9×	46 0.7×	41 0.7×	37 0.8×	5	277
Virginie Imbault Belgium	9	163 0.6×	116 0.6×	46 0.7×	29 0.5×	128 2.9×	18	402
Xavier Blanchet Germany	11	108 0.4×	159 0.8×	110 1.6×	26 0.5×	27 0.6×	16	398
Hsing‐Chuan Tsai United States	8	227 0.9×	163 0.8×	40 0.6×	99 1.7×	35 0.8×	15	463
M Ribon France	8	134 0.5×	287 1.5×	42 0.6×	52 0.9×	27 0.6×	16	443

Countries citing papers authored by Anna Barkaway

Since Specialization

Citations

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

Fields of papers citing papers by Anna Barkaway

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Barkaway

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

All Works

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9 of 9 papers shown

Russell, Mark, Katie Bechman, Michael McLean, et al.. (2025). Risk of venous thromboembolism in people with RA: a population-based study in the UK. Lara D. Veeken. 64(12). 6224–6232. 1 indexed citations

Korte, Nils, Anna Barkaway, Jack A. Wells, et al.. (2024). Inhibiting Ca2+ channels in Alzheimer’s disease model mice relaxes pericytes, improves cerebral blood flow and reduces immune cell stalling and hypoxia. Nature Neuroscience. 27(11). 2086–2100. 18 indexed citations

Barkaway, Anna, David Attwell, & Nils Korte. (2022). Immune–vascular mural cell interactions: consequences for immune cell trafficking, cerebral blood flow, and the blood–brain barrier. Neurophotonics. 9(3). 31914–31914. 15 indexed citations

Hirunpattarasilp, Chanawee, Anna Barkaway, Harvey Davis, et al.. (2022). Hyperoxia evokes pericyte-mediated capillary constriction. Journal of Cerebral Blood Flow & Metabolism. 42(11). 2032–2047. 16 indexed citations

González‐Gómez, Cristina, Pilar Gonzalo, María J. Andrés‐Manzano, et al.. (2021). Cardiovascular Progerin Suppression and Lamin A Restoration Rescue Hutchinson-Gilford Progeria Syndrome. Circulation. 144(22). 1777–1794. 29 indexed citations

Marcos‐Ramiro, Beatriz, Nagore I. Marín‐Ramos, Pilar Gonzalo, et al.. (2021). Isoprenylcysteine Carboxylmethyltransferase-Based Therapy for Hutchinson–Gilford Progeria Syndrome. ACS Central Science. 7(8). 1300–1310. 16 indexed citations

Joulia, Régis, Anna Barkaway, Loïc Rolas, et al.. (2020). Local microvascular leakage promotes trafficking of activated neutrophils to remote organs. Journal of Clinical Investigation. 130(5). 2301–2318. 54 indexed citations

Santiago‐Fernández, Olaya, Fernando G. Osorio, Vı́ctor Quesada, et al.. (2019). Development of a CRISPR/Cas9-based therapy for Hutchinson–Gilford progeria syndrome. Nature Medicine. 25(3). 423–426. 115 indexed citations

Girbl, Tamara, Tchern Lenn, Lorena Pérez, et al.. (2018). Distinct Compartmentalization of the Chemokines CXCL1 and CXCL2 and the Atypical Receptor ACKR1 Determine Discrete Stages of Neutrophil Diapedesis. Immunity. 49(6). 1062–1076.e6. 237 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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