John S. Hawkins

27 total papers · 4.2k total citations
16 papers, 1.6k citations indexed

About

John S. Hawkins is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, John S. Hawkins has authored 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Cell Biology. Recurrent topics in John S. Hawkins's work include CRISPR and Genetic Engineering (10 papers), Bacterial Genetics and Biotechnology (5 papers) and RNA and protein synthesis mechanisms (4 papers). John S. Hawkins is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), Bacterial Genetics and Biotechnology (5 papers) and RNA and protein synthesis mechanisms (4 papers). John S. Hawkins collaborates with scholars based in United States, Japan and Canada. John S. Hawkins's co-authors include Carol A. Gross, Jason M. Peters, Lei S. Qi, Jonathan S. Weissman, Byoung‐Mo Koo, Marius Wernig, Candy H. S. Lu, Kerwyn Casey Huang, Handuo Shi and Tomasz L. Czarny and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

John S. Hawkins

15 papers receiving 1.6k citations

Hit Papers

A Comprehensive, CRISPR-b... 2016 2026 2019 2022 2016 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
John S. Hawkins 1.4k 450 141 129 115 16 1.6k
Aline Fiebig‐Comyn 1.2k 0.8× 154 0.3× 91 0.6× 79 0.6× 178 1.5× 27 1.9k
Elizabeth Nickerson 1.3k 0.9× 454 1.0× 83 0.6× 175 1.4× 67 0.6× 13 1.9k
Chan Gao 1.0k 0.7× 232 0.5× 51 0.4× 18 0.1× 199 1.7× 22 1.5k
Karyn Meltz Steinberg 1.3k 0.9× 822 1.8× 131 0.9× 18 0.1× 35 0.3× 22 2.1k
Marianne Brown-Luedi 997 0.7× 325 0.7× 85 0.6× 13 0.1× 145 1.3× 22 1.6k
Christopher A. Jones 1.2k 0.9× 193 0.4× 80 0.6× 70 0.5× 345 3.0× 16 1.9k
Charlotte M. Fryling 877 0.6× 256 0.6× 49 0.3× 22 0.2× 140 1.2× 14 1.5k
Silvana van Koningsbruggen 1.8k 1.3× 229 0.5× 25 0.2× 40 0.3× 156 1.4× 25 2.2k
René J. P. Musters 629 0.4× 70 0.2× 51 0.4× 39 0.3× 185 1.6× 19 1.6k
Guy Dretzen 1.3k 0.9× 489 1.1× 169 1.2× 9 0.1× 91 0.8× 21 1.7k

Countries citing papers authored by John S. Hawkins

Since Specialization
Citations

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

Fields of papers citing papers by John S. Hawkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John S. Hawkins

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