Jennifer A. Macfarlane

802 total citations
18 papers, 432 citations indexed

About

Jennifer A. Macfarlane is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Experimental and Cognitive Psychology. According to data from OpenAlex, Jennifer A. Macfarlane has authored 18 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Jennifer A. Macfarlane's work include Cardiovascular Function and Risk Factors (5 papers), Functional Brain Connectivity Studies (5 papers) and Neural and Behavioral Psychology Studies (5 papers). Jennifer A. Macfarlane is often cited by papers focused on Cardiovascular Function and Risk Factors (5 papers), Functional Brain Connectivity Studies (5 papers) and Neural and Behavioral Psychology Studies (5 papers). Jennifer A. Macfarlane collaborates with scholars based in United Kingdom, Canada and United States. Jennifer A. Macfarlane's co-authors include Barrie Condon, Donald M. Hadley, Michael McCormick, Keith W. Muir, John McLean, J. Douglas Steele, Ian Cavin, Gordon D. Waiter, Richard White and Allan D. Struthers and has published in prestigious journals such as Journal of the American College of Cardiology, Brain and Annals of Neurology.

In The Last Decade

Jennifer A. Macfarlane

18 papers receiving 426 citations

Peers

Jennifer A. Macfarlane

CCM

EPIDE

RNMI

EDM

Alessandro Galluzzo Italy

Xuejiao Yan China

M. L. Calcagni Italy

Hsiao‐Lun Ku Taiwan

Kyoung Jin Hwang South Korea

Belinda Yew United States

Lina Keller Sweden

Tor Ivar Hansen Norway

Larissa McKetton Canada

Anisa Marshall United States

Alessandro Galluzzo Italy

Jennifer A. Macfarlane

153 ×1.1

CCM

131 ×1.2

42 ×0.5

EPIDE

134 ×2.1

RNMI

14 ×0.2

EDM

Citations per year, relative to Jennifer A. Macfarlane Jennifer A. Macfarlane (= 1×) peers Alessandro Galluzzo

Countries citing papers authored by Jennifer A. Macfarlane

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer A. Macfarlane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer A. Macfarlane

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

All Works

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18 of 18 papers shown

Macfarlane, Jennifer A., et al.. (2024). Impaired value-based decision-making in Parkinson’s disease apathy. Brain. 147(4). 1362–1376. 7 indexed citations

Stolicyn, Aleks, Mathew A. Harris, Laura de Nooij, et al.. (2024). Disrupted limbic-prefrontal effective connectivity in response to fearful faces in lifetime depression. Journal of Affective Disorders. 351. 983–993. 3 indexed citations

Shen, Xueyi, Claire Green, Robert F. Hillary, et al.. (2023). Structural brain correlates of childhood trauma with replication across two large, independent community-based samples. European Psychiatry. 66(1). e19–e19. 9 indexed citations

Balslev, Daniela, et al.. (2022). Proprioceptive contribution to oculomotor control in humans. Human Brain Mapping. 43(16). 5081–5090. 4 indexed citations

Potter, Douglas D., et al.. (2021). Prior context influences motor brain areas in an auditory oddball task and prefrontal cortex multitasking modelling. Brain Informatics. 8(1). 5–5. 9 indexed citations

Tolomeo, Serenella, Jennifer A. Macfarlane, Alex Baldacchino, George F. Koob, & J. Douglas Steele. (2020). Alcohol Binge Drinking: Negative and Positive Valence System Abnormalities. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(1). 126–134. 15 indexed citations

Romaniuk, Liana, Emma L. Hawkins, Anca‐Larisa Sandu, et al.. (2020). Blunted medial prefrontal cortico-limbic reward-related effective connectivity and depression. Brain. 143(6). 1946–1956. 57 indexed citations

Romaniuk, Liana, Anca‐Larisa Sandu, Gordon D. Waiter, et al.. (2018). The Neurobiology of Personal Control During Reward Learning and Its Relationship to Mood. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 4(2). 190–199. 17 indexed citations

Weir‐McCall, Jonathan, Matthew Lambert, Stephen J. Gandy, et al.. (2018). Systemic arteriosclerosis is associated with left ventricular remodeling but not atherosclerosis: a TASCFORCE study. Journal of Cardiovascular Magnetic Resonance. 20(1). 7–7. 11 indexed citations

10.

Lambert, Matthew, Jonathan Weir‐McCall, Marco Salsano, et al.. (2018). Prevalence and Distribution of Atherosclerosis in a Low- to Intermediate-Risk Population: Assessment with Whole-Body MR Angiography. Radiology. 287(3). 795–804. 5 indexed citations

11.

Macfarlane, Jennifer A., et al.. (2018). fMRI evidence supporting the role of memory conflict in the déjà vu experience. Memory. 29(7). 921–932. 8 indexed citations

12.

Weir‐McCall, Jonathan, Stephen J. Gandy, Matthew Lambert, et al.. (2016). Prevalence of unrecognized myocardial infarction in a low–intermediate risk asymptomatic cohort and its relation to systemic atherosclerosis. European Heart Journal - Cardiovascular Imaging. 18(6). jew155–jew155. 16 indexed citations

13.

Weir‐McCall, Jonathan, Stephen J. Gandy, Matthew Lambert, et al.. (2016). Left Ventricular Noncompaction. Journal of the American College of Cardiology. 68(20). 2157–2165. 78 indexed citations

14.

Gandy, Stephen J., Matthew Lambert, J. J. F. Belch, et al.. (2016). 3T MRI investigation of cardiac left ventricular structure and function in a UK population: The tayside screening for the prevention of cardiac events (TASCFORCE) study. Journal of Magnetic Resonance Imaging. 44(5). 1186–1196. 13 indexed citations

15.

Gandy, Stephen J., Matthew Lambert, J. J. F. Belch, et al.. (2015). Technical assessment of whole body angiography and cardiac function within a single MRI examination. Clinical Radiology. 70(6). 595–603. 14 indexed citations

16.

Gradin, Victoria B., Ana Isabel García Pérez, Jennifer A. Macfarlane, et al.. (2014). Abnormal brain responses to social fairness in depression: an fMRI study using the Ultimatum Game. Psychological Medicine. 45(6). 1241–1251. 49 indexed citations

17.

McCormick, Michael, Donald M. Hadley, John McLean, et al.. (2010). Randomized, controlled trial of insulin for acute poststroke hyperglycemia. Annals of Neurology. 67(5). 570–578. 116 indexed citations

18.

Macfarlane, Jennifer A. & Barrie Condon. (2007). A searchable medical implant database for safety in the medical resonance environment. Radiography. 14(4). 362–365. 1 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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