John Jack

31 papers and 476 indexed citations i.

About

John Jack is a scholar working on Molecular Biology, Genetics and Computational Mechanics. According to data from OpenAlex, John Jack has authored 31 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Computational Mechanics. Recurrent topics in John Jack’s work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers) and Gene Regulatory Network Analysis (4 papers). John Jack is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers) and Gene Regulatory Network Analysis (4 papers). John Jack collaborates with scholars based in United States, Spain and Japan. John Jack's co-authors include Alison A. Motsinger‐Reif, Howard L. McLeod, Tammy M. Havener, Imran Shah and Chad Brown and has published in prestigious journals such as Cancer Research, Diabetes and Environmental Health Perspectives.

In The Last Decade

Fields of papers citing papers by John Jack

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 John Jack. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where John Jack may publish in the future.

Countries citing papers authored by John Jack

Since Specialization
Citations

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

Rankless by CCL
2025