Toby Dylan Hocking

141 total papers · 3.7k total citations
33 papers, 1.2k citations indexed

About

Toby Dylan Hocking is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Toby Dylan Hocking has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Artificial Intelligence and 6 papers in Genetics. Recurrent topics in Toby Dylan Hocking's work include Gene expression and cancer classification (6 papers), Genomics and Chromatin Dynamics (4 papers) and Statistical Methods and Inference (4 papers). Toby Dylan Hocking is often cited by papers focused on Gene expression and cancer classification (6 papers), Genomics and Chromatin Dynamics (4 papers) and Statistical Methods and Inference (4 papers). Toby Dylan Hocking collaborates with scholars based in United States, Canada and France. Toby Dylan Hocking's co-authors include Farhoud Faraji, Yannick Doyon, Catherine Ngo, Philip D. Gregory, George E. Katibah, Fyodor D. Urnov, Jasmine M. McCammon, Sharon L. Amacher, Rainier Amora and Lei Zhang and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and PLoS ONE.

In The Last Decade

Toby Dylan Hocking

28 papers receiving 1.2k citations

Hit Papers

Heritable targeted gene d... 2008 2026 2014 2020 2008 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
Toby Dylan Hocking 779 321 190 96 79 33 1.2k
Christoph Zechner 1.2k 1.5× 137 0.4× 51 0.3× 104 1.1× 41 0.5× 41 1.4k
Lei M. Li 698 0.9× 575 1.8× 59 0.3× 96 1.0× 22 0.3× 48 1.3k
Farhad Imam 977 1.3× 311 1.0× 102 0.5× 100 1.0× 37 0.5× 15 1.4k
Theo Knijnenburg 1.0k 1.3× 128 0.4× 40 0.2× 84 0.9× 33 0.4× 37 1.3k
María C. Alonso 998 1.3× 220 0.7× 602 3.2× 144 1.5× 16 0.2× 23 1.5k
Dougu Nam 859 1.1× 206 0.6× 48 0.3× 36 0.4× 49 0.6× 43 1.1k
Szabolcs Szelinger 499 0.6× 490 1.5× 45 0.2× 69 0.7× 372 4.7× 26 1.3k
Jennifer Shoemaker 683 0.9× 254 0.8× 33 0.2× 87 0.9× 34 0.4× 19 1.3k
Bernd Klaus 730 0.9× 108 0.3× 62 0.3× 65 0.7× 13 0.2× 21 1.1k
Leila Mureşan 897 1.2× 123 0.4× 194 1.0× 57 0.6× 40 0.5× 47 1.3k

Countries citing papers authored by Toby Dylan Hocking

Since Specialization
Citations

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

Fields of papers citing papers by Toby Dylan Hocking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toby Dylan Hocking

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