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.
An Energy Budget for Signaling in the Grey Matter of the Brain
20012.4k citationsDavid Attwell et al.Journal of Cerebral Blood Flow & Metabolismprofile →
Glial and neuronal control of brain blood flow
20101.8k citationsDavid Attwell et al.Natureprofile →
Capillary pericytes regulate cerebral blood flow in health and disease
20141.4k citationsCatherine N. Hall, Clare Reynell et al.Natureprofile →
Synaptic Energy Use and Supply
20121.2k citationsRenaud Jolivet, David Attwell et al.profile →
This map shows the geographic impact of David Attwell'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 Attwell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Attwell more than expected).
This network shows the impact of papers produced by David Attwell. 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 Attwell. The network helps show where David Attwell may publish in the future.
Co-authorship network of co-authors of David Attwell
This figure shows the co-authorship network connecting the top 25 collaborators of David Attwell.
A scholar is included among the top collaborators of David Attwell 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 Attwell. David Attwell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nortley, Ross, Nils Korte, Pablo Izquierdo, et al.. (2019). Amyloid β oligomers constrict human capillaries in Alzheimer’s disease via signaling to pericytes. Science. 365(6450).475 indexed citations breakdown →
Hammond‐Haley, Matthew, Svetlana Mastitskaya, Fergus M O’Farrell, & David Attwell. (2016). Capillary pericytes contribute to coronary no-reflow following myocardial infarction and reperfusion. UCL Discovery (University College London).1 indexed citations
9.
Attwell, David, Anusha Mishra, Catherine N. Hall, Fergus M O’Farrell, & Turgay Dalkara. (2015). What is a pericyte?. Journal of Cerebral Blood Flow & Metabolism. 36(2). 451–455.484 indexed citations breakdown →
10.
Reynell, Clare, et al.. (2015). Neurovascular physiology and pathophysiology of brain pericytes. Proceedings of The Physiological Society.1 indexed citations
O’Farrell, Fergus M, E N Coleman, S Kendrick, & David Attwell. (2012). Microanatomy of pericytes in the rat ventricular myocardium. Proceedings of The Physiological Society.2 indexed citations
13.
Luzhynskaya, A., et al.. (2009). NEUREGULIN INDUCES NMDA RECEPTOR DEPENDENT MYELINATION BY OLIGODENDROCYTES. Glia. 57(13).1 indexed citations
14.
Attwell, David, et al.. (2006). Rundown and inhibition of oligodendrocyte NMDA receptors. Proceedings of The Physiological Society.2 indexed citations
Sarantis, Monique & David Attwell. (1990). GLUTAMATE UPTAKE IN MAMMALIAN RETINAL GLIA IS VOLTAGE-DEPENDENT AND POTASSIUM-DEPENDENT. UCL Discovery (University College London).2 indexed citations
19.
Attwell, David & Marc Tessier‐Lavigne. (1989). DESIGNING SYNAPTIC CONNECTIONS IN THE OUTER RETINA. UCL Discovery (University College London).2 indexed citations
20.
Attwell, David & Monita P. Wilson. (1980). BEHAVIOR OF THE ROD NETWORK IN THE TIGER SALAMANDER RETINA MEDIATED BY MEMBRANE-PROPERTIES OF INDIVIDUAL RODS. UCL Discovery (University College London).2 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.