Conor J Howard

942 total citations
13 papers, 555 citations indexed

About

Conor J Howard is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Conor J Howard has authored 13 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cell Biology and 1 paper in Infectious Diseases. Recurrent topics in Conor J Howard's work include RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (4 papers) and Microtubule and mitosis dynamics (3 papers). Conor J Howard is often cited by papers focused on RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (4 papers) and Microtubule and mitosis dynamics (3 papers). Conor J Howard collaborates with scholars based in United States, United Kingdom and Canada. Conor J Howard's co-authors include Christopher R. Carlson, David O. Morgan, Adam Frost, Maliheh Safari, Nairi Hartooni, Alan D. Frankel, Jonathan B Asfaha, Chloe M. Ghent, Beatriz A. Osuna and David E. Weinberg and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.

In The Last Decade

Conor J Howard

13 papers receiving 550 citations

Peers

Conor J Howard
Rosslyn Grosely United States
Winston Chang United States
Sophie Martin United States
Jonathan A. Atwater United States
Luke S. Ferro United States
Lee D. Kapp United States
Richard P. Price United States
Rosslyn Grosely United States
Conor J Howard
Citations per year, relative to Conor J Howard Conor J Howard (= 1×) peers Rosslyn Grosely

Countries citing papers authored by Conor J Howard

Since Specialization
Citations

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

Fields of papers citing papers by Conor J Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conor J Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Conor J Howard. A scholar is included among the top collaborators of Conor J Howard 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 Conor J Howard. Conor J Howard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Howard, Conor J, Nathan S. Abell, Beatriz A. Osuna, et al.. (2024). High-resolution deep mutational scanning of the melanocortin-4 receptor enables target characterization for drug discovery. eLife. 13. 3 indexed citations
2.
Carlson, Christopher R., et al.. (2022). Reconstitution of the SARS-CoV-2 ribonucleosome provides insights into genomic RNA packaging and regulation by phosphorylation. Journal of Biological Chemistry. 298(11). 102560–102560. 31 indexed citations
3.
Brady, Kevin, Alan Р. Smith, Michael Knight, et al.. (2022). The proximity of the N- and C- termini of bovine knob domains enable engineering of target specificity into polypeptide chains. mAbs. 14(1). 2076295–2076295. 7 indexed citations
4.
Howard, Conor J & Adam Frost. (2021). Ribosome-associated quality control and CAT tailing. Critical Reviews in Biochemistry and Molecular Biology. 56(6). 603–620. 22 indexed citations
5.
Carlson, Christopher R., Jonathan B Asfaha, Chloe M. Ghent, et al.. (2020). Phosphoregulation of Phase Separation by the SARS-CoV-2 N Protein Suggests a Biophysical Basis for its Dual Functions. Molecular Cell. 80(6). 1092–1103.e4. 238 indexed citations
6.
Canning, Peter, Kwangjin Park, João Gonçalves, et al.. (2018). CDKL Family Kinases Have Evolved Distinct Structural Features and Ciliary Function. Cell Reports. 22(4). 885–894. 52 indexed citations
7.
Rendón, Olga Zurita, Eric K. Fredrickson, Conor J Howard, et al.. (2018). Vms1p is a release factor for the ribosome-associated quality control complex. Nature Communications. 9(1). 2197–2197. 85 indexed citations
8.
Sorrells, Trevor R., et al.. (2018). Intrinsic cooperativity potentiates parallel cis-regulatory evolution. eLife. 7. 14 indexed citations
9.
Osuna, Beatriz A., et al.. (2017). In vitro analysis of RQC activities provides insights into the mechanism and function of CAT tailing. eLife. 6. 54 indexed citations
10.
Howard, Conor J, Victor Hanson-Smith, Kristopher J. Kennedy, et al.. (2014). Ancestral resurrection reveals evolutionary mechanisms of kinase plasticity. eLife. 3. 43 indexed citations
11.
Howard, Conor J. (2004). Is There Assessor Bias in the Real Estate Market. Digital Commons at Illinois Wesleyan University (Illinois Wesleyan University). 1 indexed citations
12.
Marks, S. C., et al.. (2004). T-Oligos induce mitf, tyrosinase and pkc-beta in cultured human melanocytes.. Pigment Cell Research. 17(4). 452–452. 1 indexed citations
13.
Schatten, Heide, Conor J Howard, Gérard Coffe, Calvin Simerly, & Gerald Schatten. (1988). Centrosomes,centrioles and post-translationally modified microtubules during fertilization (Advances in Cell Division Research). ZOOLOGICAL SCIENCE. 5(3). 585–601. 4 indexed citations

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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