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.
Science of science
2018781 citationsJames A. Evans, Roberta Sinatra et al.profile →
Quantifying Long-Term Scientific Impact
2013545 citationsDashun Wang, Chaoming Song et al.profile →
Large teams develop and small teams disrupt science and technology
2019542 citationsLingfei Wu, Dashun Wang et al.Natureprofile →
Unequal effects of the COVID-19 pandemic on scientists
2020463 citationsYian Yin, P. Schiffer et al.Nature Human Behaviourprofile →
Human mobility, social ties, and link prediction
2011455 citationsDashun Wang, Chaoming Song et al.profile →
Quantifying the evolution of individual scientific impact
2016359 citationsRoberta Sinatra, Dashun Wang et al.profile →
Toward understanding the impact of artificial intelligence on labor
This map shows the geographic impact of Dashun Wang'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 Dashun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dashun Wang more than expected).
This network shows the impact of papers produced by Dashun Wang. 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 Dashun Wang. The network helps show where Dashun Wang may publish in the future.
Co-authorship network of co-authors of Dashun Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Dashun Wang.
A scholar is included among the top collaborators of Dashun Wang 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 Dashun Wang. Dashun Wang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yin, Yian, Yuxiao Dong, Kuansan Wang, Dashun Wang, & Benjamin F. Jones. (2022). Public use and public funding of science. Nature Human Behaviour. 6(10). 1344–1350.42 indexed citations
Wu, Lingfei, Dashun Wang, & James A. Evans. (2019). Large teams develop and small teams disrupt science and technology. Nature. 566(7744). 378–382.542 indexed citations breakdown →
12.
Battiston, Federico, Federico Musciotto, Dashun Wang, et al.. (2018). Taking census of physics. Nature Reviews Physics. 1(1). 89–97.42 indexed citations
13.
Sinatra, Roberta, et al.. (2014). Scientific impact: the story of your big hit. Bulletin of the American Physical Society. 2014.1 indexed citations
Wang, Dashun, et al.. (2012). Joint Scaling Theory of Human Dynamics and Network Science. arXiv (Cornell University).1 indexed citations
18.
Wang, Dashun, Zhen Wen, Hanghang Tong, et al.. (2012). Information Spreading in Context. Bulletin of the American Physical Society. 2012.4 indexed citations
Bagrow, James P., et al.. (2010). Response of human populations to large-scale emergencies. Bulletin of the American Physical Society. 2010.3 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.