Jennifer J. Ware

6.1k total citations · 1 hit paper
34 papers, 3.2k citations indexed

About

Jennifer J. Ware is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Jennifer J. Ware has authored 34 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 8 papers in Psychiatry and Mental health and 7 papers in Molecular Biology. Recurrent topics in Jennifer J. Ware's work include Smoking Behavior and Cessation (9 papers), Genetic Associations and Epidemiology (6 papers) and Genetic Neurodegenerative Diseases (5 papers). Jennifer J. Ware is often cited by papers focused on Smoking Behavior and Cessation (9 papers), Genetic Associations and Epidemiology (6 papers) and Genetic Neurodegenerative Diseases (5 papers). Jennifer J. Ware collaborates with scholars based in United Kingdom, United States and Australia. Jennifer J. Ware's co-authors include Marcus R. Munafò, John P. A. Ioannidis, Katherine S. Button, Brian A. Nosek, Chris Chambers, Nathalie Percie du Sert, Dorothy Bishop, Eric‐Jan Wagenmakers, Uri Simonsohn and Marianne van den Bree and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Jennifer J. Ware

33 papers receiving 3.1k citations

Hit Papers

A manifesto for reproducible science 2017 2026 2020 2023 2017 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer J. Ware United Kingdom 19 499 471 442 428 383 34 3.2k
Nathalie Percie du Sert United Kingdom 12 196 0.4× 452 1.0× 211 0.5× 353 0.8× 194 0.5× 19 2.2k
Claire Mokrysz United Kingdom 17 269 0.5× 486 1.0× 267 0.6× 2.1k 4.8× 287 0.7× 40 6.0k
Christopher Baethge Germany 32 239 0.5× 162 0.3× 295 0.7× 430 1.0× 174 0.5× 125 4.1k
Shlomo S. Sawilowsky United States 25 228 0.5× 199 0.4× 254 0.6× 395 0.9× 157 0.4× 105 4.5k
Katherine S. Button United Kingdom 22 303 0.6× 1.1k 2.4× 597 1.4× 2.3k 5.4× 414 1.1× 61 8.3k
Charles E. Heckler United States 42 730 1.5× 122 0.3× 358 0.8× 335 0.8× 332 0.9× 130 6.6k
Eric Loken United States 31 174 0.3× 199 0.4× 755 1.7× 534 1.2× 67 0.2× 67 4.4k
Ronald C. Serlin United States 42 413 0.8× 285 0.6× 948 2.1× 770 1.8× 85 0.2× 129 7.7k
Marcel A. L. M. van Assen Netherlands 38 1.2k 2.5× 682 1.4× 331 0.7× 326 0.8× 44 0.1× 126 5.6k
Jeffrey R. Spies United States 11 70 0.1× 611 1.3× 197 0.4× 494 1.2× 87 0.2× 18 2.9k

Countries citing papers authored by Jennifer J. Ware

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer J. Ware

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer J. Ware

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

All Works

20 of 20 papers shown
2.
Duijn, Erik van, et al.. (2021). Incidence of completed suicide and suicide attempts in a global prospective study of Huntington's disease. BJPsych Open. 7(5). e158–e158. 10 indexed citations
3.
Abreu, Daisy, Jennifer J. Ware, Nellie Georgiou‐Karistianis, et al.. (2021). Utility of Huntington's Disease Assessments by Disease Stage: Floor/Ceiling Effects. Frontiers in Neurology. 12. 595679–595679. 10 indexed citations
4.
Mills, James A., Jeffrey D. Long, Amrita Mohan, Jennifer J. Ware, & Cristina Sampaio. (2020). Cognitive and Motor Norms for Huntington’s Disease. Archives of Clinical Neuropsychology. 35(6). 671–682. 11 indexed citations
5.
Munafò, Marcus R., Brian A. Nosek, Dorothy Bishop, et al.. (2017). A manifesto for reproducible science. Nature Human Behaviour. 1(1). 21–21. 1732 indexed citations breakdown →
6.
Chenoweth, Meghan J., Jennifer J. Ware, Andy Z. X. Zhu, et al.. (2017). Genome‐wide association study of a nicotine metabolism biomarker in African American smokers: impact of chromosome 19 genetic influences. Addiction. 113(3). 509–523. 42 indexed citations
7.
Taylor, Amy E., Stephen Burgess, Jennifer J. Ware, et al.. (2016). Investigating causality in the association between 25(OH)D and schizophrenia. Scientific Reports. 6(1). 26496–26496. 37 indexed citations
8.
Gage, Suzanne H., George Davey Smith, Jennifer J. Ware, Jonathan Flint, & Marcus R. Munafò. (2016). G = E: What GWAS Can Tell Us about the Environment. PLoS Genetics. 12(2). e1005765–e1005765. 69 indexed citations
9.
Gates, Nicola, Salman Karim, Anne WS Rutjes, et al.. (2016). Computerised cognition-based interventions for maintaining cognitive function in cognitively healthy people in midlife. Cochrane Database of Systematic Reviews. 5 indexed citations
10.
Ware, Jennifer J. & Marcus R. Munafò. (2015). Genetics of Smoking Behaviour. Current topics in behavioral neurosciences. 23. 19–36. 6 indexed citations
11.
Taylor, Amy E., Jennifer J. Ware, Suzanne H. Gage, George Davey Smith, & Marcus R. Munafò. (2014). Using molecular genetic information to infer causality in observational data: Mendelian randomisation. Current Opinion in Behavioral Sciences. 2. 39–45. 1 indexed citations
12.
Ware, Jennifer J. & Marcus R. Munafò. (2014). Significance chasing in research practice: causes, consequences and possible solutions. Addiction. 110(1). 4–8. 38 indexed citations
13.
Taylor, Amy E., Laura D Howe, Jon Heron, et al.. (2014). Maternal smoking during pregnancy and offspring smoking initiation: assessing the role of intrauterine exposure. Addiction. 109(6). 1013–1021. 39 indexed citations
14.
Ware, Jennifer J. & Marcus R. Munafò. (2014). Determining the Causes and Consequences of Nicotine Dependence: Emerging Genetic Research Methods. Current Psychiatry Reports. 16(10). 477–477. 5 indexed citations
15.
Taylor, Amy E., Neil M Davies, Jennifer J. Ware, et al.. (2013). Mendelian randomization in health research: Using appropriate genetic variants and avoiding biased estimates. Economics & Human Biology. 13. 99–106. 111 indexed citations
16.
David, Sean P., Jennifer J. Ware, Isabella Chu, et al.. (2013). Potential Reporting Bias in fMRI Studies of the Brain. PLoS ONE. 8(7). e70104–e70104. 96 indexed citations
17.
Ware, Jennifer J., Marianne van den Bree, & Marcus R. Munafò. (2012). From Men to Mice: CHRNA5/CHRNA3, Smoking Behavior and Disease. Nicotine & Tobacco Research. 14(11). 1291–1299. 40 indexed citations
18.
Diukova, Ana, Jennifer J. Ware, Jessica E. Smith, et al.. (2012). Separating neural and vascular effects of caffeine using simultaneous EEG–FMRI: Differential effects of caffeine on cognitive and sensorimotor brain responses. NeuroImage. 62(1). 239–249. 45 indexed citations
19.
Ware, Jennifer J., Marianne van den Bree, & Marcus R. Munafò. (2011). Association of the CHRNA5-A3-B4 Gene Cluster With Heaviness of Smoking: A Meta-Analysis. Nicotine & Tobacco Research. 13(12). 1167–1175. 83 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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