Jonathan Woon

1.4k citations
34 papers · 765 · 1 hit paper · h-index 11

Impact in

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

Papers in

Jonathan Woon

33 papers receiving 723 citations

Jonathan Woon's Hit Papers

Women Don't Run? Election Aversion and Candidate Entry 2014 · 252 citations
2520+4+8Years since publication50100150200250

Peers

Jonathan Woon
Comparison fields: 5 of 44
  • Gender Studies 281
  • Safety Research 183
  • Political Science and International Relations 493
  • General Decision Sciences 31
  • Strategy and Management 144
Replace Donna Bahry with:
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Citations per field
00.5×6.4×
Donna Bahry · 1×
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 17 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 34 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 →
2014252
2 2011101
3 201265
4 200864
5 200860
6 200845
7 200932
8 201222
9 201516
10 201314
11 201814
12 201810
13 20098
14 20146
15 20205
16 20145
17 20055
18 20195
19 20184
20
Women Don't Run: Gender Differences in Candidate Entry
20114

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 34 papers that have together received 765 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (21 papers), Experimental Behavioral Economics Studies (16 papers), Media Influence and Politics (10 papers), Political Influence and Corporate Strategies (9 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 (281 citations), Safety Research (183 citations), Political Science and International Relations (493 citations), General Decision Sciences (31 citations) and Strategy and Management (144 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, William Minozzi, Keith Krehbiel, Stephen Chaudoin, Logan Dancey, Jennifer Jerit and Cheryl Boudreau. Their work appears in journals such as Journal of Experimental Political Science, The Journal of Politics, American Journal of Political Science, Games and Economic Behavior and PS Political Science & Politics.

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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