Robert G. Boyle

406 total citations
8 papers, 313 citations indexed

About

Robert G. Boyle is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Robert G. Boyle has authored 8 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Organic Chemistry. Recurrent topics in Robert G. Boyle's work include Microtubule and mitosis dynamics (3 papers), Biochemical and Molecular Research (2 papers) and Cancer-related Molecular Pathways (2 papers). Robert G. Boyle is often cited by papers focused on Microtubule and mitosis dynamics (3 papers), Biochemical and Molecular Research (2 papers) and Cancer-related Molecular Pathways (2 papers). Robert G. Boyle collaborates with scholars based in United Kingdom, United States and Japan. Robert G. Boyle's co-authors include Thomas G. Davies, Valério Berdini, Michelle D. Garrett, Robert Downham, Marcel L. Verdonk, Gordon Saxty, Paul G. Wyatt, Robin A. E. Carr, Steven J. Woodhead and David Barford and has published in prestigious journals such as Cancer Research, Journal of Medicinal Chemistry and Neuropsychopharmacology.

In The Last Decade

Robert G. Boyle

8 papers receiving 298 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Robert G. Boyle United Kingdom	8	237	76	74	55	37	8	313
Giuseppina La Sala Italy	12	250 1.1×	48 0.6×	39 0.5×	26 0.5×	36 1.0×	15	352
Grégory Menchon Switzerland	9	268 1.1×	27 0.4×	158 2.1×	58 1.1×	20 0.5×	11	424
Oliver Barker United Kingdom	8	336 1.4×	82 1.1×	47 0.6×	114 2.1×	30 0.8×	10	407
Kia Strömberg Sweden	9	323 1.4×	63 0.8×	60 0.8×	96 1.7×	23 0.6×	10	491
Thomas Lauber Germany	9	250 1.1×	58 0.8×	14 0.2×	58 1.1×	68 1.8×	15	508
Mayukh Chakrabarti United States	7	213 0.9×	76 1.0×	30 0.4×	64 1.2×	25 0.7×	12	349
Lisa Hunihan United States	14	332 1.4×	22 0.3×	46 0.6×	78 1.4×	51 1.4×	19	475
Stephen J. Mnich United States	8	233 1.0×	21 0.3×	106 1.4×	68 1.2×	25 0.7×	8	459
Linnéa Schmidt Sweden	12	235 1.0×	19 0.3×	42 0.6×	68 1.2×	27 0.7×	19	478
Barri Wautlet United States	9	191 0.8×	21 0.3×	152 2.1×	119 2.2×	32 0.9×	11	414

Countries citing papers authored by Robert G. Boyle

Since Specialization

Citations

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

Fields of papers citing papers by Robert G. Boyle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert G. Boyle. 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 Robert G. Boyle. The network helps show where Robert G. Boyle may publish in the future.

Co-authorship network of co-authors of Robert G. Boyle

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Huggins, David J., Pooja Sharma, Luca Laraia, et al.. (2019). Development of a Novel Cell-Permeable Protein–Protein Interaction Inhibitor for the Polo-box Domain of Polo-like Kinase 1. ACS Omega. 5(1). 822–831. 7 indexed citations

Narvaez, A.J., Suzan Ber, Estrella Guarino, et al.. (2017). Modulating Protein-Protein Interactions of the Mitotic Polo-like Kinases to Target Mutant KRAS. Cell chemical biology. 24(8). 1017–1028.e7. 23 indexed citations

Koh, Siang‐Boon, et al.. (2015). CHK1 Inhibition Synergizes with Gemcitabine Initially by Destabilizing the DNA Replication Apparatus. Cancer Research. 75(17). 3583–3595. 48 indexed citations

Bhattacharya, Aditi, Maggie Mamcarz, Robert G. Boyle, et al.. (2015). Targeting Translation Control with p70 S6 Kinase 1 Inhibitors to Reverse Phenotypes in Fragile X Syndrome Mice. Neuropsychopharmacology. 41(8). 1991–2000. 36 indexed citations

Saxty, Gordon, Steven J. Woodhead, Valério Berdini, et al.. (2007). Identification of Inhibitors of Protein Kinase B Using Fragment-Based Lead Discovery. Journal of Medicinal Chemistry. 50(10). 2293–2296. 110 indexed citations

Donald, Alastair, Tatiana McHardy, Martin Rowlands, et al.. (2007). Rapid Evolution of 6-Phenylpurine Inhibitors of Protein Kinase B through Structure-Based Design. Journal of Medicinal Chemistry. 50(10). 2289–2292. 47 indexed citations

Boyle, Robert G., John Eric Humphries, T. Andrew Mitchell, et al.. (2004). The design of a new potent and selective ligand for the orphan bombesin receptor subtype 3 (BRS3). Journal of Peptide Science. 11(3). 136–141. 17 indexed citations

Boyle, Robert G., et al.. (2004). Structure-activity studies on prolactin-releasing peptide (PrRP). Analogues of PrRP-(19-31)-peptide. Journal of Peptide Science. 11(3). 161–165. 25 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.

Explore authors with similar magnitude of impact