Conner Craigon

18 total papers · 882 total citations
9 papers, 447 citations indexed

About

Conner Craigon is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Conner Craigon has authored 9 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Hematology. Recurrent topics in Conner Craigon's work include Ubiquitin and proteasome pathways (9 papers), Protein Degradation and Inhibitors (9 papers) and Histone Deacetylase Inhibitors Research (3 papers). Conner Craigon is often cited by papers focused on Ubiquitin and proteasome pathways (9 papers), Protein Degradation and Inhibitors (9 papers) and Histone Deacetylase Inhibitors Research (3 papers). Conner Craigon collaborates with scholars based in United Kingdom, United States and Austria. Conner Craigon's co-authors include Alessio Ciulli, Adam G. Bond, R. Scott Lokey, Victoria G. Klein, Kwok-Ho Chan, Andrea Testa, Ryan Casement, Nikolai Makukhin, Marjeta Urh and Kristin M. Riching and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and Science Advances.

In The Last Decade

Conner Craigon

9 papers receiving 439 citations

Hit Papers

Trivalent PROTACs enhance... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Conner Craigon 414 214 88 32 11 9 447
Claire Whitworth 413 1.0× 185 0.9× 93 1.1× 28 0.9× 7 0.6× 6 442
Sarah D. Mahan 443 1.1× 194 0.9× 108 1.2× 28 0.9× 7 0.6× 7 464
Jiuling Yang 434 1.0× 214 1.0× 104 1.2× 64 2.0× 20 1.8× 10 519
Aleša Bricelj 417 1.0× 169 0.8× 154 1.8× 27 0.8× 9 0.8× 11 461
B. Chie-Leon 456 1.1× 115 0.5× 190 2.2× 35 1.1× 8 0.7× 10 528
Yu-Gang Song 432 1.0× 196 0.9× 99 1.1× 28 0.9× 28 2.5× 10 510
Kedra Cyrus 441 1.1× 187 0.9× 139 1.6× 38 1.2× 21 1.9× 10 533
Michael J. Bond 443 1.1× 223 1.0× 100 1.1× 33 1.0× 19 1.7× 10 485
Stacey-Lynn Paiva 490 1.2× 210 1.0× 87 1.0× 27 0.8× 29 2.6× 16 541
Elizabeth Ornelas 376 0.9× 133 0.6× 58 0.7× 93 2.9× 15 1.4× 9 447

Countries citing papers authored by Conner Craigon

Since Specialization
Citations

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

Fields of papers citing papers by Conner Craigon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conner Craigon

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