Ryan T. Moore

683 total citations
23 papers, 478 citations indexed

About

Ryan T. Moore is a scholar working on Sociology and Political Science, Economics and Econometrics and Political Science and International Relations. According to data from OpenAlex, Ryan T. Moore has authored 23 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 6 papers in Economics and Econometrics and 4 papers in Political Science and International Relations. Recurrent topics in Ryan T. Moore's work include Healthcare Policy and Management (5 papers), Electoral Systems and Political Participation (4 papers) and Advanced Causal Inference Techniques (3 papers). Ryan T. Moore is often cited by papers focused on Healthcare Policy and Management (5 papers), Electoral Systems and Political Participation (4 papers) and Advanced Causal Inference Techniques (3 papers). Ryan T. Moore collaborates with scholars based in United States, Australia and Mexico. Ryan T. Moore's co-authors include Nirmala Ravishankar, Emmanuela Gakidou, Martha María Téllez‐Rojo, Jason Lakin, Juan Eugenio Hernández‐Ávila, Gary King, Manett Vargas, Mauricio Hernández Ávila, Clayton Nall and Kosuke Imai and has published in prestigious journals such as The Lancet, Cancer Research and American Journal of Public Health.

In The Last Decade

Ryan T. Moore

21 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan T. Moore United States 8 188 155 121 115 65 23 478
Qi Zhu United States 14 45 0.2× 58 0.4× 52 0.4× 150 1.3× 47 0.7× 30 691
David Grubb United Kingdom 9 32 0.2× 280 1.8× 7 0.1× 492 4.3× 88 1.4× 16 1.1k
Heather Douglas Australia 12 49 0.3× 74 0.5× 42 0.3× 30 0.3× 138 2.1× 44 469
Mankyu Choi South Korea 13 55 0.3× 226 1.5× 9 0.1× 120 1.0× 87 1.3× 66 594
Mohammad S. Hasan United Kingdom 10 121 0.6× 82 0.5× 115 1.0× 243 2.1× 21 0.3× 44 451
Supreet Kaur India 8 3 0.0× 48 0.3× 52 0.4× 112 1.0× 54 0.8× 16 673
Richard Manning United States 13 25 0.1× 45 0.3× 32 0.3× 200 1.7× 222 3.4× 32 623
Stijn Hoorens United Kingdom 13 11 0.1× 133 0.9× 236 2.0× 72 0.6× 191 2.9× 68 763
Francesca Lamanna United States 5 26 0.1× 55 0.4× 55 0.5× 255 2.2× 202 3.1× 7 647
Andreas Georgiadis United Kingdom 10 22 0.1× 42 0.3× 196 1.6× 64 0.6× 58 0.9× 21 760

Countries citing papers authored by Ryan T. Moore

Since Specialization
Citations

This map shows the geographic impact of Ryan T. Moore'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 Ryan T. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Moore more than expected).

Fields of papers citing papers by Ryan T. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan T. Moore. 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 Ryan T. Moore. The network helps show where Ryan T. Moore may publish in the future.

Co-authorship network of co-authors of Ryan T. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan T. Moore. A scholar is included among the top collaborators of Ryan T. Moore 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 Ryan T. Moore. Ryan T. Moore 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
1.
Johnson, Rebecca, et al.. (2024). A randomized controlled trial evaluating the effects of nurse-led triage of 911 calls. Nature Human Behaviour. 8(7). 1276–1284.
2.
Moore, Ryan T., et al.. (2022). Anchor management: a field experiment to encourage families to meet critical programme deadlines. Journal of Public Policy. 42(4). 615–636. 1 indexed citations
3.
Moore, Ryan T. & Andrew Reeves. (2020). Defining racial and ethnic context with geolocation data. Political Science Research and Methods. 8(4). 780–794. 9 indexed citations
4.
Menchen-Trevino, Ericka, et al.. (2019). Bots By Topic. 77–82. 1 indexed citations
5.
Moore, Ryan T., et al.. (2017). 911 Nurse Triage Line Randomized Controlled Trial. OSF Preprints (OSF Preprints).
6.
Moore, Ryan T., et al.. (2015). Enrollment in Health Exchange plans in 2014: the impact of Key variables on uptake of this innovation in affordable Healthcare?. Value in Health. 18(3). A91–A91. 1 indexed citations
7.
Shenson, Douglas, Ryan T. Moore, William Benson, & Lynda A. Anderson. (2015). Polling Places, Pharmacies, and Public Health: Vote & Vax 2012. American Journal of Public Health. 105(6). e12–e15. 4 indexed citations
8.
Moore, Ryan T.. (2014). Overcoming Barriers to Heterogeneous-Group Learning in the Political Science Classroom. PS Political Science & Politics. 48(1). 149–156. 3 indexed citations
9.
Moore, Ryan T., Eleanor Neff Powell, & Andrew Reeves. (2013). Driving support: workers, PACs, and congressional support of the auto industry. Business and Politics. 15(2). 137–162. 15 indexed citations
10.
Moore, Ryan T. & Sally A. Moore. (2013). Blocking for Sequential Political Experiments. Political Analysis. 21(4). 507–523. 7 indexed citations
11.
Moore, Ryan T.. (2012). Is Punk the New Jazz. ˜The œchronicle of higher education. 1 indexed citations
12.
Dobson, Nicole R., Ryan T. Moore, Jennifer E. Tobin, & Regina C. Armstrong. (2012). Leukemia/lymphoma‐related factor regulates oligodendrocyte lineage cell differentiation in developing white matter. Glia. 60(9). 1378–1390. 6 indexed citations
13.
Boakye, Maxwell, Ryan T. Moore, Maiying Kong, Stephen Skirboll, & Robert T. Arrigo. (2012). Health-related quality-of-life status in Veterans with spinal disorders. Quality of Life Research. 22(1). 45–52. 21 indexed citations
14.
Moore, Ryan T.. (2012). Multivariate Continuous Blocking to Improve Political Science Experiments. Political Analysis. 20(4). 460–479. 36 indexed citations
15.
Moore, Ryan T. & Nirmala Ravishankar. (2011). Who loses in direct democracy?. Social Science Research. 41(3). 646–656. 10 indexed citations
16.
Moore, Ryan T., et al.. (2011). The Distortion Gap: Policymaking under Federalism and Interest Group Capture. Publius The Journal of Federalism. 42(2). 189–210. 6 indexed citations
17.
King, Gary, Emmanuela Gakidou, Kosuke Imai, et al.. (2009). Public policy for the poor? A randomised assessment of the Mexican universal health insurance programme. The Lancet. 373(9673). 1447–1454. 235 indexed citations
18.
Dalton, W. Brian, Mandayam O. Nandan, Ryan T. Moore, & Vincent W. Yang. (2007). Human Cancer Cells Commonly Acquire DNA Damage during Mitotic Arrest. Cancer Research. 67(24). 11487–11492. 70 indexed citations
19.
King, Gary, Emmanuela Gakidou, Nirmala Ravishankar, et al.. (2007). A “politically robust” experimental design for public policy evaluation, with application to the Mexican Universal Health Insurance program. Journal of Policy Analysis and Management. 26(3). 479–506. 43 indexed citations
20.
Narayanan, V.G., et al.. (2000). Cambridge Hospital Community Health Network - The Primary Care Unit TN. 5 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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