Conner Craigon
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
-
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
-
- Protein Degradation and Inhibitors 9
- Ubiquitin and proteasome pathways 9
- Histone Deacetylase Inhibitors Research 3
- Oncology 3
- Peptidase Inhibition and Analysis 2
- CAR-T cell therapy research 1
- Co-authors
- Alessio Ciulli (9 shared papers)Adam G. Bond (4 shared papers)R. Scott Lokey (1 shared paper)Victoria G. Klein (1 shared paper)Kwok-Ho Chan (2 shared papers)Andrea Testa (2 shared papers)Ryan Casement (1 shared paper)Nikolai Makukhin (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)Journal of the American Chemical Society (1 paper)ACS Medicinal Chemistry Letters (1 paper)Science Advances (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Conner Craigon
9 papers receiving 455 citations
Conner Craigon's Hit Papers
Peers
Comparison fields: 5 of 42
- Hematology 90
- Oncology 218
- Molecular Biology 439
- Organic Chemistry 33
- Virology 5
Countries citing papers authored by Conner Craigon
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
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-authors
The 25 scholars most cited alongside Conner Craigon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Trivalent PROTACs enhance protein degradation via combined avidity and cooperativity Hit paper breakdown → | 2021 | 168 |
| 2 | 2021 | 94 | |
| 3 | 2021 | 63 | |
| 4 | 2021 | 57 | |
| 5 | 2022 | 32 | |
| 6 | 2024 | 25 | |
| 7 | 2024 | 14 | |
| 8 | 2025 | 9 | |
| 9 | 2025 | 1 |
About Conner Craigon
Conner Craigon is a scholar working on Molecular Biology, Oncology, Hematology, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 463 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (9 papers), Ubiquitin and proteasome pathways (9 papers), Multiple Myeloma Research and Treatments (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Peptidase Inhibition and Analysis (2 papers) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Hematology (90 citations), Oncology (218 citations), Molecular Biology (439 citations), Organic Chemistry (33 citations) and Virology (5 citations). Conner Craigon has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Alessio Ciulli, Adam G. Bond, R. Scott Lokey, Victoria G. Klein, Kwok-Ho Chan, Andrea Testa, Ryan Casement, Nikolai Makukhin, Kristin M. Riching and Marjeta Urh. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of the American Chemical Society, ACS Medicinal Chemistry Letters, Science Advances and Nature Chemical Biology.
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.