Johan S. G. Chu

594 total citations · 1 hit paper
10 papers, 365 citations indexed

About

Johan S. G. Chu is a scholar working on Sociology and Political Science, Economics and Econometrics and Condensed Matter Physics. According to data from OpenAlex, Johan S. G. Chu has authored 10 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 3 papers in Economics and Econometrics and 2 papers in Condensed Matter Physics. Recurrent topics in Johan S. G. Chu's work include Elite Sociology and Global Capitalism (4 papers), Complex Network Analysis Techniques (2 papers) and Political Influence and Corporate Strategies (2 papers). Johan S. G. Chu is often cited by papers focused on Elite Sociology and Global Capitalism (4 papers), Complex Network Analysis Techniques (2 papers) and Political Influence and Corporate Strategies (2 papers). Johan S. G. Chu collaborates with scholars based in United States. Johan S. G. Chu's co-authors include James A. Evans, Gerald F. Davis, Christoph Adami, Jerry Davis and Mark S. Mizruchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Journal of Sociology and Theory and Society.

In The Last Decade

Johan S. G. Chu

8 papers receiving 338 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Slowed canonical progress in large fields of science

2021 185 citations Johan S. G. Chu, James A. Evans Proceedings of the National Academy of Sciences profile →

Peers

Johan S. G. Chu

SPS

SPU

SM

ACCOU

ISM

María José Martín-Sempere Spain

Jane M. Russell Mexico

Michael Park United States

G. Melin Sweden

Helena Bukvova Germany

Elba Mauleón Spain

Bruce Hevly United States

Love Börjeson Sweden

Dakota Murray United States

Olga Amsterdamska Netherlands

María José Martín-Sempere Spain

Johan S. G. Chu

131 ×1.1

SPS

144 ×1.9

SPU

46 ×0.8

SM

7 ×0.1

ACCOU

35 ×1.0

ISM

Citations per year, relative to Johan S. G. Chu Johan S. G. Chu (= 1×) peers María José Martín-Sempere

Countries citing papers authored by Johan S. G. Chu

Since Specialization

Citations

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

Fields of papers citing papers by Johan S. G. Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan S. G. Chu. 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 Johan S. G. Chu. The network helps show where Johan S. G. Chu may publish in the future.

Co-authorship network of co-authors of Johan S. G. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Johan S. G. Chu. A scholar is included among the top collaborators of Johan S. G. Chu 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 Johan S. G. Chu. Johan S. G. Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Mizruchi, Mark S. & Johan S. G. Chu. (2025). The power of fragmented elites: the role of inadvertent robust action. Theory and Society. 54(3). 475–506.

2.

Chu, Johan S. G.. (2025). Computational Explorations of Life. Caltech Library. 4002.

3.

Chu, Johan S. G. & James A. Evans. (2021). Slowed canonical progress in large fields of science. Proceedings of the National Academy of Sciences. 118(41). 185 indexed citations breakdown →

4.

Chu, Johan S. G.. (2018). A Theory of Durable Dominance. Strategy Science. 3(3). 498–512. 2 indexed citations

5.

Chu, Johan S. G. & Jerry Davis. (2017). When board interlock fell apart, so did political moderation in the boardroom. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 1 indexed citations

6.

Chu, Johan S. G. & Gerald F. Davis. (2016). Who Killed the Inner Circle? The Decline of the American Corporate Interlock Network. American Journal of Sociology. 122(3). 714–754. 116 indexed citations

7.

Chu, Johan S. G.. (2012). Who Killed the Inner Circle? The End of the Era of the Corporate Interlock Network. SSRN Electronic Journal. 8 indexed citations

8.

Chu, Johan S. G. & Gerald F. Davis. (2011). Who Killed the Inner Circle? The Breakdown of the American Corporate Elite Network, 1999-2009. OpenSIUC (Southern Illinois University Carbondale). 6 indexed citations

9.

Adami, Christoph & Johan S. G. Chu. (2002). Critical and near-critical branching processes. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(1). 11907–11907. 22 indexed citations

10.

Chu, Johan S. G. & Christoph Adami. (1999). A simple explanation for taxon abundance patterns. Proceedings of the National Academy of Sciences. 96(26). 15017–15019. 25 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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