Daniel J. Laverty

33 total papers · 484 total citations
17 papers, 203 citations indexed

About

Daniel J. Laverty is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Daniel J. Laverty has authored 17 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Biophysics. Recurrent topics in Daniel J. Laverty's work include DNA Repair Mechanisms (11 papers), CRISPR and Genetic Engineering (3 papers) and Cell Image Analysis Techniques (3 papers). Daniel J. Laverty is often cited by papers focused on DNA Repair Mechanisms (11 papers), CRISPR and Genetic Engineering (3 papers) and Cell Image Analysis Techniques (3 papers). Daniel J. Laverty collaborates with scholars based in United States, China and Switzerland. Daniel J. Laverty's co-authors include Leo Li‐Ying Chan, Dmitry Kuksin, Marc M. Greenberg, Jean Qiu, Zachary D. Nagel, Cortt G. Piett, April M. Averill, Roopali Gandhi, Tim Smith and Hillary Hei and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Daniel J. Laverty

17 papers receiving 195 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel J. Laverty 131 41 36 22 20 17 203
Neda Saraygord‐Afshari 135 1.0× 46 1.1× 45 1.3× 29 1.3× 5 0.3× 16 283
Yusha Sun 65 0.5× 65 1.6× 32 0.9× 37 1.7× 6 0.3× 26 231
Crystal McKnight 65 0.5× 44 1.1× 29 0.8× 30 1.4× 15 0.8× 12 166
Kazuaki Tokunaga 223 1.7× 36 0.9× 32 0.9× 31 1.4× 21 1.1× 14 270
Thi Nhu Ngoc Van 175 1.3× 57 1.4× 21 0.6× 14 0.6× 18 0.9× 17 281
Kojiro Ishibashi 74 0.6× 41 1.0× 40 1.1× 23 1.0× 4 0.2× 15 213
Jennifer Eng 134 1.0× 48 1.2× 16 0.4× 51 2.3× 38 1.9× 15 200
Alişan Kayabölen 151 1.2× 24 0.6× 51 1.4× 28 1.3× 6 0.3× 12 292
Kushal Kumar Das 211 1.6× 40 1.0× 14 0.4× 17 0.8× 9 0.5× 12 276
Karthic Swaminathan 123 0.9× 17 0.4× 14 0.4× 10 0.5× 9 0.5× 13 215

Countries citing papers authored by Daniel J. Laverty

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Laverty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Laverty

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