Countries citing papers authored by Michael S. Kang
Since
Specialization
Citations
This map shows the geographic impact of Michael S. Kang'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 Michael S. Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Kang more than expected).
This network shows the impact of papers produced by Michael S. Kang. 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 Michael S. Kang. The network helps show where Michael S. Kang may publish in the future.
Co-authorship network of co-authors of Michael S. Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Kang.
A scholar is included among the top collaborators of Michael S. Kang 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 Michael S. Kang. Michael S. Kang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kang, Michael S. & Joanna Shepherd. (2016). Judging Judicial Elections. Michigan Law Review. 114(6). 929–949.1 indexed citations
6.
Luque, Tomás, Michael S. Kang, David V. Schaffer, & Sanjay Kumar. (2016). Microelastic mapping of the rat dentate gyrus. Royal Society Open Science. 3(4). 150702–150702.26 indexed citations
7.
Kang, Michael S. & Joanna Shepherd. (2016). The Long Shadow of Bush V. Gore: Judicial Partisanship in Election Cases. Stanford Law Review. 68(6). 1411.1 indexed citations
8.
Kang, Michael S.. (2016). The Brave New Word of Party Campaign Finance Law. Cornell law review/The Cornell law quarterly. 101(3). 531.1 indexed citations
9.
Kang, Michael S.. (2015). The Brave New World of Party Campaign Finance Law. SSRN Electronic Journal.
10.
Kang, Michael S.. (2014). Party-Based Corruption and McCutcheon v. FEC. eYLS (Yale Law School). 108.1 indexed citations
11.
Kang, Michael S.. (2013). Campaign Disclosure in Direct Democracy. Minnesota law review.3 indexed citations
12.
Kang, Michael S.. (2013). Shareholder Voting as Veto. Indiana law journal. 88(4). 9.2 indexed citations
13.
Kang, Michael S.. (2011). The Campaign Finance Debate After Citizens United. Georgia State University law review. 27(4). 15432.
14.
Kang, Michael S.. (2010). Voting as Veto. Michigan Law Review. 108(7). 1221–1281.5 indexed citations
15.
Kang, Michael S.. (2009). To Here From Theory In Election Law. Texas law review. 87(4). 787.1 indexed citations
16.
Kang, Michael S.. (2008). From Broadcasting to Narrowcasting: The Emerging Challenge for Campaign Finance Law. SSRN Electronic Journal.3 indexed citations
17.
Kang, Michael S.. (2006). De-Rigging Elections: Direct Democracy and the Future of Redistricting Reform. Open Scholarship Institutional Repository (Washington University in St. Louis). 84(3). 667–716.2 indexed citations
18.
Kang, Michael S.. (2005). The Bright Side of Partisan Gerrymandering. Cornell journal of law and public policy. 14(3). 443–470.2 indexed citations
19.
Kang, Michael S.. (2005). The Hydraulics and Politics of Party Regulation. SSRN Electronic Journal. 569.5 indexed citations
20.
Kang, Michael S.. (2003). Democratizing Direct Democracy: Restoring Voter Competence Through Heuristic Cues and 'Disclosure Plus'. SSRN Electronic Journal.8 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.