Jake P. Taylor‐King

15 papers and 228 indexed citations i.

About

Jake P. Taylor‐King is a scholar working on Molecular Biology, Computational Theory and Mathematics and Modeling and Simulation. According to data from OpenAlex, Jake P. Taylor‐King has authored 15 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Modeling and Simulation. Recurrent topics in Jake P. Taylor‐King’s work include Computational Drug Discovery Methods (4 papers), Gene Regulatory Network Analysis (3 papers) and Diffusion and Search Dynamics (2 papers). Jake P. Taylor‐King is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Gene Regulatory Network Analysis (3 papers) and Diffusion and Search Dynamics (2 papers). Jake P. Taylor‐King collaborates with scholars based in United Kingdom, United States and Switzerland. Jake P. Taylor‐King's co-authors include Cristian Regep, Jian Tang, Jyothish Soman, Michael M. Bronstein, Ben Day, David Roblin, Charles S. Roberts, Arian R. Jamasb, Tom L. Blundell and Richard Vickers and has published in prestigious journals such as Nature Methods, Trends in Genetics and Clinical Pharmacology & Therapeutics.

In The Last Decade

Co-authorship network of co-authors of Jake P. Taylor‐King i

Fields of papers citing papers by Jake P. Taylor‐King

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Jake P. Taylor‐King. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jake P. Taylor‐King may publish in the future.

Countries citing papers authored by Jake P. Taylor‐King

Since Specialization
Citations

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

Rankless by CCL
2025