Jonathan Woon

1.4k citations
36 papers · 834 · 1 hit paper · h-index 12

Impact in

    • Gender Politics and Representation
    • Gender Diversity and Inequality
    • Experimental Behavioral Economics Studies

Papers in

Jonathan Woon

35 papers receiving 778 citations

Jonathan Woon's Hit Papers

Women Don't Run? Election Aversion and Candidate Entry 2014 · 265 citations
2650+4+8Years since publication50100150200250

Peers

Jonathan Woon
Comparison fields: 5 of 46
  • Gender Studies 299
  • Safety Research 195
  • Political Science and International Relations 539
  • General Decision Sciences 35
  • Strategy and Management 159
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Citations per year

Countries citing papers authored by Jonathan Woon

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Woon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Jonathan Woon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Woon Line = papers co-authored together Jonathan Woon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Women Don't Run? Election Aversion and Candidate Entry
Hit paper breakdown →
2014265
2 2011104
3 201267
4 200865
5 200860
6 200846
7 200933
8 200530
9 201224
10 201516
11 201815
12 201314
13 201211
14 201811
15 20098
16 20147
17 20205
18 20145
19 20055
20
An Experimental Investigation of Delegation, Voting, and the Provision of Public Goods
20085

About Jonathan Woon

Jonathan Woon is a scholar working on Political Science and International Relations, Safety Research, Sociology and Political Science, Strategy and Management and Demography, having authored 36 papers that have together received 834 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (22 papers), Experimental Behavioral Economics Studies (17 papers), Political Influence and Corporate Strategies (10 papers), Media Influence and Politics (10 papers), Culture, Economy, and Development Studies (8 papers), Game Theory and Applications (7 papers), Fiscal Policies and Political Economy (3 papers) and Social Policy and Reform Studies (3 papers). The work is most often cited by research in Gender Studies (299 citations), Safety Research (195 citations), Political Science and International Relations (539 citations), General Decision Sciences (35 citations) and Strategy and Management (159 citations). Jonathan Woon has collaborated with scholars based in United States, Switzerland and Slovakia. Frequent co-authors include Kristin Kanthak, Jeremy C. Pope, Roberto A. Weber, Sarah E. Anderson, Keith Krehbiel, William Minozzi, Adam Meirowitz, Stephen Chaudoin, Logan Dancey and Jennifer Jerit. Their work appears in journals such as Journal of Experimental Political Science, The Journal of Politics, American Journal of Political Science, Journal of Economic Behavior & Organization and Political Research Quarterly.

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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