Daniel T. Youmans

9 total papers · 1.2k total citations
7 papers, 930 citations indexed

About

Daniel T. Youmans is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Daniel T. Youmans has authored 7 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Cancer Research. Recurrent topics in Daniel T. Youmans's work include Telomeres, Telomerase, and Senescence (3 papers), Epigenetics and DNA Methylation (3 papers) and CRISPR and Genetic Engineering (3 papers). Daniel T. Youmans is often cited by papers focused on Telomeres, Telomerase, and Senescence (3 papers), Epigenetics and DNA Methylation (3 papers) and CRISPR and Genetic Engineering (3 papers). Daniel T. Youmans collaborates with scholars based in United States and Australia. Daniel T. Youmans's co-authors include Thomas R. Cech, Xueyin Wang, Yicheng Long, Kathleen Collins, Alec N. Sexton, Anne R. Gooding, Jens C. Schmidt, Chen Davidovich, Richard D. Paucek and Stuart K. Archer and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Daniel T. Youmans

6 papers receiving 918 citations

Hit Papers

How do lncRNAs regulate t... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Daniel T. Youmans 801 501 141 66 51 7 930
Catherine Cifuentes‐Rojas 836 1.0× 348 0.7× 170 1.2× 100 1.5× 97 1.9× 16 940
Nicole A. Rapicavoli 750 0.9× 626 1.2× 36 0.3× 63 1.0× 43 0.8× 9 992
P. Kasaragod 843 1.1× 551 1.1× 62 0.4× 35 0.5× 48 0.9× 5 1.0k
Mathieu D. Jacob 745 0.9× 254 0.5× 56 0.4× 40 0.6× 36 0.7× 10 848
Sandra Fourré 736 0.9× 547 1.1× 76 0.5× 40 0.6× 77 1.5× 9 1.0k
Max L. Valenstein 904 1.1× 318 0.6× 37 0.3× 36 0.5× 73 1.4× 11 1.1k
Valerio Vitelli 940 1.2× 171 0.3× 269 1.9× 123 1.9× 72 1.4× 11 1.1k
Manuele Castelnuovo 853 1.1× 375 0.7× 32 0.2× 61 0.9× 53 1.0× 11 926
Sumanprava Giri 925 1.2× 570 1.1× 27 0.2× 38 0.6× 63 1.2× 11 1.0k
Susan Kirk‐Bell 1.0k 1.3× 555 1.1× 35 0.2× 135 2.0× 85 1.7× 10 1.2k

Countries citing papers authored by Daniel T. Youmans

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Youmans'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 Daniel T. Youmans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Youmans more than expected).

Fields of papers citing papers by Daniel T. Youmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Youmans. 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 Daniel T. Youmans. The network helps show where Daniel T. Youmans may publish in the future.

Co-authorship network of co-authors of Daniel T. Youmans

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Youmans. A scholar is included among the top collaborators of Daniel T. Youmans 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 Daniel T. Youmans. Daniel T. Youmans 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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