Diana S. Chu

32 total papers · 1.4k total citations
19 papers, 929 citations indexed

About

Diana S. Chu is a scholar working on Molecular Biology, Aging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Diana S. Chu has authored 19 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Aging and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Diana S. Chu's work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Reproductive Biology and Fertility (6 papers) and CRISPR and Genetic Engineering (6 papers). Diana S. Chu is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (8 papers), Reproductive Biology and Fertility (6 papers) and CRISPR and Genetic Engineering (6 papers). Diana S. Chu collaborates with scholars based in United States, China and Germany. Diana S. Chu's co-authors include Diane C. Shakes, Gregory S. Payne, Barbara J Meyer, Paola Nix, John R. Yates, Edward J. Ralston, Hongbin Liu, Jui-Ching Wu, Arun Manoharan and Jean Thierry‐Mieg and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Diana S. Chu

19 papers receiving 923 citations

Author Peers

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

Author Last Decade Papers Cites
Diana S. Chu 628 368 199 176 133 19 929
Nurit Wolf 635 1.0× 614 1.7× 235 1.2× 148 0.8× 235 1.8× 14 1.1k
Gillian M. Stanfield 721 1.1× 539 1.5× 114 0.6× 86 0.5× 145 1.1× 17 1.2k
R. Shownkeen 506 0.8× 412 1.1× 83 0.4× 68 0.4× 145 1.1× 15 982
Lynn Boyd 741 1.2× 519 1.4× 316 1.6× 163 0.9× 59 0.4× 15 1.2k
Mary Kosinski 452 0.7× 686 1.9× 168 0.8× 306 1.7× 84 0.6× 13 974
Sudhir Nayak 658 1.0× 615 1.7× 63 0.3× 182 1.0× 155 1.2× 19 1.0k
Dave Hansen 807 1.3× 730 2.0× 99 0.5× 252 1.4× 108 0.8× 30 1.1k
Christophe Lefebvre 496 0.8× 190 0.5× 516 2.6× 210 1.2× 30 0.2× 17 867
Karen L. King 638 1.0× 87 0.2× 174 0.9× 62 0.4× 93 0.7× 17 1.0k
Aaron M. Kershner 838 1.3× 626 1.7× 89 0.4× 90 0.5× 77 0.6× 14 1.1k

Countries citing papers authored by Diana S. Chu

Since Specialization
Citations

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

Fields of papers citing papers by Diana S. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana S. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Diana S. Chu. A scholar is included among the top collaborators of Diana S. 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 Diana S. Chu. Diana S. Chu 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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