Nathan J. Kelly

3.0k total citations · 2 hit papers
41 papers, 1.9k citations indexed

About

Nathan J. Kelly is a scholar working on Political Science and International Relations, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Nathan J. Kelly has authored 41 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Political Science and International Relations, 20 papers in Sociology and Political Science and 14 papers in Economics and Econometrics. Recurrent topics in Nathan J. Kelly's work include Electoral Systems and Political Participation (15 papers), Social Policy and Reform Studies (10 papers) and Fiscal Policy and Economic Growth (7 papers). Nathan J. Kelly is often cited by papers focused on Electoral Systems and Political Participation (15 papers), Social Policy and Reform Studies (10 papers) and Fiscal Policy and Economic Growth (7 papers). Nathan J. Kelly collaborates with scholars based in United States. Nathan J. Kelly's co-authors include Luke Keele, Peter K. Enns, Thomas W. Volscho, Christopher Witko, Jana Morgan, Jacob S. Hacker, Casey D. Morrow, J. Tobin Grant, William W. Franko and Matthew T. Palmer and has published in prestigious journals such as Journal of Biological Chemistry, American Sociological Review and Journal of Virology.

In The Last Decade

Nathan J. Kelly

36 papers receiving 1.8k citations

Hit Papers

Dynamic Models for Dynami... 2005 2026 2012 2019 2005 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan J. Kelly United States 19 911 749 533 216 203 41 1.9k
Paul Bowles Canada 20 423 0.5× 411 0.5× 277 0.5× 174 0.8× 49 0.2× 125 1.3k
Robert Elgie Ireland 24 1.2k 1.4× 537 0.7× 174 0.3× 121 0.6× 155 0.8× 97 1.8k
Marieke de Goede Netherlands 24 673 0.7× 1.5k 2.0× 200 0.4× 459 2.1× 104 0.5× 66 2.3k
Bryant G. Garth United States 21 931 1.0× 922 1.2× 340 0.6× 131 0.6× 176 0.9× 115 2.5k
Mark A. Pollack United States 27 3.1k 3.3× 712 1.0× 270 0.5× 308 1.4× 359 1.8× 90 3.9k
Timothy J. Power United Kingdom 28 2.7k 2.9× 1.7k 2.2× 441 0.8× 54 0.3× 211 1.0× 78 3.4k
R. Daniel Kelemen United States 27 2.7k 3.0× 808 1.1× 368 0.7× 338 1.6× 57 0.3× 85 3.7k
Patrick Heller United States 20 824 0.9× 995 1.3× 359 0.7× 107 0.5× 68 0.3× 48 1.9k
Daniel Carpenter United States 20 869 1.0× 609 0.8× 491 0.9× 127 0.6× 52 0.3× 49 2.3k
Barbara Vis Netherlands 24 983 1.1× 787 1.1× 336 0.6× 180 0.8× 107 0.5× 64 2.1k

Countries citing papers authored by Nathan J. Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Nathan J. Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan J. Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan J. Kelly. A scholar is included among the top collaborators of Nathan J. Kelly 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 Nathan J. Kelly. Nathan J. Kelly 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.
Morgan, Jana & Nathan J. Kelly. (2025). Ethnoracial Hierarchies and Democratic Commitments. Perspectives on Politics. 23(3). 822–846.
2.
Kelly, Nathan J., et al.. (2024). The Structural Origins of Racial Inequality and Attitudes Toward Redistribution. Race and Social Problems. 17(2). 128–139. 1 indexed citations
3.
Kelly, Nathan J., et al.. (2022). The Representational Deficit of Latinxs in the U.S. House of Representatives. Hispanic Journal of Behavioral Sciences. 44(2). 99–122.
4.
Hacker, Jacob S., Jacob S. Hacker, Jacob S. Hacker, & Nathan J. Kelly. (2021). The American Political Economy. Cambridge University Press eBooks. 30 indexed citations
5.
Kelly, Nathan J.. (2020). America's Inequality Trap. 13 indexed citations
6.
Enns, Peter K., Nathan J. Kelly, Takaaki Masaki, & Patrick C. Wohlfarth. (2017). Moving forward with time series analysis. Research & Politics. 4(4). 3 indexed citations
7.
Franko, William W., Nathan J. Kelly, & Christopher Witko. (2016). Class Bias in Voter Turnout, Representation, and Income Inequality. Perspectives on Politics. 14(2). 351–368. 46 indexed citations
8.
Kelly, Nathan J. & Thomas W. Volscho. (2014). The Politics of Oligarchy: Taxation, Financial Regulation, Power Resources, and the Super-Rich in the United States, 1918-2012. SSRN Electronic Journal. 1 indexed citations
9.
Grant, J. Tobin & Nathan J. Kelly. (2008). Legislative Productivity of the U.S. Congress, 1789–2004. Political Analysis. 16(3). 303–323. 36 indexed citations
10.
Kelly, Nathan J. & Jana Morgan. (2007). Religious Traditionalism and Latino Politics in the United States. American Politics Research. 36(2). 236–263. 38 indexed citations
11.
Prajapati, Shashi, et al.. (2006). IKKα Regulates Estrogen-induced Cell Cycle Progression by Modulating E2F1 Expression. Journal of Biological Chemistry. 281(10). 6699–6706. 35 indexed citations
12.
Kelly, Nathan J., et al.. (2005). Religion and Latino Partisanship in the United States. Political Research Quarterly. 58(1). 87–95. 62 indexed citations
13.
Kelly, Nathan J., et al.. (2005). Religion and Latino Partisanship in the United States. Political Research Quarterly. 58(1). 87–87.
14.
Keele, Luke & Nathan J. Kelly. (2005). Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables. Political Analysis. 14(2). 186–205. 674 indexed citations breakdown →
15.
Kelly, Nathan J. & Casey D. Morrow. (2005). Structural Elements of the tRNA TΨC Loop Critical for Nucleocytoplasmic Transport Are Important for Human Immunodeficiency Virus Type 1 Primer Selection. Journal of Virology. 79(10). 6532–6539. 4 indexed citations
16.
Kelly, Nathan J.. (2005). Political Choice, Public Policy, and Distributional Outcomes. American Journal of Political Science. 49(4). 865–880. 46 indexed citations
17.
Kosloff, Barry, Nathan J. Kelly, Richard Kirkman, et al.. (2004). HIV Type 1 That Select tRNA His or tRNA Lys1,2 as Primers for Reverse Transcription Exhibit Different Infectivities in Peripheral Blood Mononuclear Cells. AIDS Research and Human Retroviruses. 20(4). 373–381. 9 indexed citations
18.
Fogarty, Brian J., et al.. (2004). Issue Attitudes and Survey Continuity across Interview Mode in the 2000 NES. Political Analysis. 13(1). 95–108. 3 indexed citations
19.
Kelly, Nathan J. & Casey D. Morrow. (2003). Yeast tRNAPhe expressed in human cells can be selected by HIV-1 for use as a reverse transcription primer. Virology. 313(2). 354–363. 12 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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