David Cesarini

22.0k citations
57 papers · 3.9k · 1 hit paper · h-index 32

Impact in

Papers in

    • Genetic Associations and Epidemiology 16
    • Genetic Mapping and Diversity in Plants and Animals 6
    • Intergenerational and Educational Inequality Studies 10

David Cesarini

54 papers receiving 3.7k citations

David Cesarini's Hit Papers

Multi-trait analysis of genome-wide association summary statistics using MTAG 2017 · 538 citations
5380+3+6Years since publication100200300400500

Peers

David Cesarini
Comparison fields: 5 of 151
  • General Decision Sciences 319
  • Experimental and Cognitive Psychology 807
  • Safety Research 469
  • Genetics 1.1k
  • Applied Psychology 167
Replace Daniel J. Benjamin with:
Daniel J. Benjamin United States
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David Cesarini relative to Daniel J. Benjamin United States Daniel J. Benjamin's profile →
Citations per field
00.5×1.5×2.3×
Daniel J. Benjamin · 1×
Citations per year

Countries citing papers authored by David Cesarini

Since Specialization
Citations

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

Fields of papers citing papers by David Cesarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Cesarini, 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 David Cesarini Line = papers co-authored together David Cesarini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-trait analysis of genome-wide association summary statistics using MTAG
Hit paper breakdown →
2017538
2 2009313
3 2008252
4 2015191
5 2012173
6 2012172
7 2017165
8 2014154
9 2007151
10 2016146
11 201799
12 202193
13 201590
14 201188
15 200987
16 201083
17 201778
18 202077
19 201871
20 201468

About David Cesarini

David Cesarini is a scholar working on Genetics, Sociology and Political Science, Experimental and Cognitive Psychology, Accounting and Economics and Econometrics, having authored 57 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (16 papers), Intergenerational and Educational Inequality Studies (10 papers), Financial Literacy, Pension, Retirement Analysis (9 papers), Experimental Behavioral Economics Studies (7 papers), Cognitive Abilities and Testing (7 papers), Decision-Making and Behavioral Economics (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Financial Markets and Investment Strategies (5 papers). The work is most often cited by research in General Decision Sciences (319 citations), Experimental and Cognitive Psychology (807 citations), Safety Research (469 citations), Genetics (1.1k citations) and Applied Psychology (167 citations). David Cesarini has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Magnus Johannesson, Björn Wallace, Paul Lichtenstein, Christopher T. Dawes, Erik Lindqvist, Robert Östling, Daniel J. Benjamin, Patrik K. E. Magnusson, David Laibson and Peter M. Visscher. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics, PLoS ONE, Proceedings of the Royal Society B Biological Sciences and The Quarterly Journal of Economics.

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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