Allison Shapiro

572 total citations
12 papers, 365 citations indexed

About

Allison Shapiro is a scholar working on Cognitive Neuroscience, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Allison Shapiro has authored 12 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Modeling and Simulation and 4 papers in Epidemiology. Recurrent topics in Allison Shapiro's work include COVID-19 epidemiological studies (5 papers), Respiratory viral infections research (4 papers) and Action Observation and Synchronization (3 papers). Allison Shapiro is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Respiratory viral infections research (4 papers) and Action Observation and Synchronization (3 papers). Allison Shapiro collaborates with scholars based in United States, Switzerland and Germany. Allison Shapiro's co-authors include Laurel J. Buxbaum, H. Branch Coslett, Scott T. Grafton, Solène Kalénine, Anna M. Borghi, Andrea Flumini, Luca Foschini, Ernesto Ramirez, Ben Bradshaw and Tim Althoff and has published in prestigious journals such as PLoS ONE, Brain and Neuropsychologia.

In The Last Decade

Allison Shapiro

11 papers receiving 361 citations

Peers

Allison Shapiro

CN

SP

DEP

ECP

EPIDE

Deanna M. Kennedy United States

Emily Phillips United Kingdom

Sarah F. Snider United States

Daisuke Sawamura Japan

Colin Davey United States

Jenny Hooi Yin Loo Singapore

Reem S. W. Alyahya United Kingdom

Michael C. Bartha United States

Grant M. Walker United States

Alessandro Monti Italy

Deanna M. Kennedy United States

Allison Shapiro

358 ×1.5

CN

95 ×0.5

SP

48 ×1.0

DEP

7 ×0.2

ECP

14 ×0.5

EPIDE

Citations per year, relative to Allison Shapiro Allison Shapiro (= 1×) peers Deanna M. Kennedy

Countries citing papers authored by Allison Shapiro

Since Specialization

Citations

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

Fields of papers citing papers by Allison Shapiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allison Shapiro

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

All Works

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12 of 12 papers shown

1.

Shapiro, Allison, et al.. (2023). Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study. Journal of Medical Internet Research. 25. e41050–e41050. 3 indexed citations

2.

Mezlini, Aziz M., Eamon Caddigan, Allison Shapiro, et al.. (2023). Precision recruitment for high-risk participants in a COVID-19 cohort study. Contemporary Clinical Trials Communications. 33. 101113–101113.

3.

Nestor, Bret, Allison Shapiro, Sujay Nagaraj, et al.. (2023). Machine learning COVID-19 detection from wearables. The Lancet Digital Health. 5(4). e182–e184. 10 indexed citations

4.

Mezlini, Aziz M., Allison Shapiro, Eric J. Daza, et al.. (2022). Estimating the Burden of Influenza-like Illness on Daily Activity at the Population Scale Using Commercial Wearable Sensors. JAMA Network Open. 5(5). e2211958–e2211958. 8 indexed citations

5.

Shapiro, Allison, Ernesto Ramirez, Luca Foschini, et al.. (2022). Predictors of Seeking Care for Influenza-Like Illness in a Novel Digital Study. Open Forum Infectious Diseases. 10(1). ofac675–ofac675. 6 indexed citations

6.

Dundon, Neil M., et al.. (2021). Ventromedial Prefrontal Cortex Activity and Sympathetic Allostasis During Value-Based Ambivalence. Frontiers in Behavioral Neuroscience. 15. 615796–615796. 4 indexed citations

7.

Shapiro, Allison, et al.. (2021). A novel digital approach to describe real world outcomes among patients with constipation. npj Digital Medicine. 4(1). 7 indexed citations

8.

Shapiro, Allison & Scott T. Grafton. (2020). Subjective value then confidence in human ventromedial prefrontal cortex. PLoS ONE. 15(2). e0225617–e0225617. 32 indexed citations

9.

Shapiro, Allison, Ieuan Clay, Ben Bradshaw, et al.. (2020). Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data. Patterns. 2(1). 100188–100188. 47 indexed citations

10.

Buxbaum, Laurel J., Allison Shapiro, & H. Branch Coslett. (2014). Critical brain regions for tool-related and imitative actions: a componential analysis. Brain. 137(7). 1971–1985. 184 indexed citations

11.

Kalénine, Solène, Allison Shapiro, & Laurel J. Buxbaum. (2013). Dissociations of action means and outcome processing in left-hemisphere stroke. Neuropsychologia. 51(7). 1224–1233. 24 indexed citations

12.

Kalénine, Solène, Allison Shapiro, Andrea Flumini, Anna M. Borghi, & Laurel J. Buxbaum. (2013). Visual context modulates potentiation of grasp types during semantic object categorization. Psychonomic Bulletin & Review. 21(3). 645–651. 40 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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