Dylan Kwart

11 total papers · 1.7k total citations
3 papers, 901 citations indexed

About

Dylan Kwart is a scholar working on Molecular Biology, Aging and Cell Biology. According to data from OpenAlex, Dylan Kwart has authored 3 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Aging and 1 paper in Cell Biology. Recurrent topics in Dylan Kwart's work include Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Dylan Kwart is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Dylan Kwart collaborates with scholars based in United States, Switzerland and Germany. Dylan Kwart's co-authors include Dominik Paquet, Marc Tessier‐Lavigne, Andrew Gregg, Shaun Teo, Andrew A. Sproul, Samson Jacob, Scott Noggle, Claudia Scheckel, Michael D. Duffield and Olav Olsen and has published in prestigious journals such as Nature, Neuron and Nature Protocols.

In The Last Decade

Dylan Kwart

3 papers receiving 890 citations

Hit Papers

Efficient introduction of... 2016 2026 2019 2022 2016 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Dylan Kwart 737 179 175 103 95 3 901
Samson Jacob 903 1.2× 158 0.9× 181 1.0× 138 1.3× 189 2.0× 9 1.1k
Shaun Teo 681 0.9× 52 0.3× 169 1.0× 93 0.9× 108 1.1× 4 777
Camilla Lööv 696 0.9× 100 0.6× 193 1.1× 41 0.4× 107 1.1× 12 961
Artem Zykovich 557 0.8× 133 0.7× 95 0.5× 119 1.2× 17 0.2× 11 747
Sravya Kommineni 724 1.0× 54 0.3× 221 1.3× 61 0.6× 29 0.3× 5 1.0k
Jackson Sandoe 571 0.8× 101 0.6× 71 0.4× 31 0.3× 220 2.3× 6 929
Pramod Thekkat 712 1.0× 105 0.6× 140 0.8× 137 1.3× 101 1.1× 8 1.0k
Elaine Pirie 436 0.6× 133 0.7× 48 0.3× 17 0.2× 99 1.0× 14 720
Gabriela Estepa 481 0.7× 204 1.1× 88 0.5× 145 1.4× 84 0.9× 8 938
Connor Ludwig 514 0.7× 137 0.8× 67 0.4× 36 0.3× 121 1.3× 10 818

Countries citing papers authored by Dylan Kwart

Since Specialization
Citations

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

Fields of papers citing papers by Dylan Kwart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dylan Kwart

This figure shows the co-authorship network connecting the top 25 collaborators of Dylan Kwart. A scholar is included among the top collaborators of Dylan Kwart 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 Dylan Kwart. Dylan Kwart 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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