NaNa Keum

85 total papers · 9.7k total citations
54 papers, 6.4k citations indexed

About

NaNa Keum is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Oncology. According to data from OpenAlex, NaNa Keum has authored 54 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Public Health, Environmental and Occupational Health, 22 papers in Physiology and 21 papers in Oncology. Recurrent topics in NaNa Keum's work include Nutritional Studies and Diet (19 papers), Colorectal Cancer Screening and Detection (15 papers) and Nutrition and Health in Aging (15 papers). NaNa Keum is often cited by papers focused on Nutritional Studies and Diet (19 papers), Colorectal Cancer Screening and Detection (15 papers) and Nutrition and Health in Aging (15 papers). NaNa Keum collaborates with scholars based in United States, South Korea and United Kingdom. NaNa Keum's co-authors include Edward L. Giovannucci, Darren C. Greenwood, Dong Hoon Lee, Dagfinn Aune, Serena Tonstad, Elio Ríboli, Paolo Boffetta, Lars Thore Fadnes, Teresa Norat and Lars J. Vatten and has published in prestigious journals such as Circulation, Nature Communications and PLoS ONE.

In The Last Decade

NaNa Keum

54 papers receiving 6.3k citations

Hit Papers

Global burden of colorect... 2012 2026 2016 2021 2019 2016 2012 2018 2018 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
NaNa Keum 1.6k 1.6k 1.4k 1.1k 959 54 6.4k
James R. Marshall 2.4k 1.5× 2.1k 1.3× 944 0.7× 1.2k 1.1× 1.1k 1.2× 97 7.9k
Doris S.M. Chan 2.6k 1.6× 2.2k 1.3× 1.4k 1.0× 1.3k 1.2× 516 0.5× 55 6.1k
Pamela J. Mink 1.4k 0.9× 1.4k 0.9× 613 0.4× 947 0.9× 662 0.7× 81 6.4k
M. J. Stampfer 1.5k 0.9× 2.5k 1.5× 1.4k 1.0× 1.3k 1.2× 1.2k 1.2× 49 8.2k
Paul Terry 2.1k 1.3× 1.8k 1.1× 899 0.7× 955 0.9× 614 0.6× 150 6.5k
Maureen A. Murtaugh 1.4k 0.8× 1.2k 0.7× 706 0.5× 920 0.8× 1.3k 1.3× 122 5.0k
Stephanie A. Smith‐Warner 2.1k 1.3× 3.7k 2.3× 1.7k 1.2× 1.1k 1.0× 1.2k 1.2× 129 8.0k
Jean H. Hankin 2.0k 1.2× 3.0k 1.8× 1.3k 0.9× 1.7k 1.6× 1.3k 1.4× 112 8.4k
Peter T. Campbell 1.8k 1.1× 1.7k 1.1× 2.2k 1.6× 963 0.9× 808 0.8× 132 6.1k
Giovanna Masala 1.0k 0.6× 2.1k 1.3× 1.2k 0.8× 1.1k 1.0× 808 0.8× 188 6.3k

Countries citing papers authored by NaNa Keum

Since Specialization
Citations

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

Fields of papers citing papers by NaNa Keum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of NaNa Keum

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

All Works

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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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