Paul Saxman

12 papers and 2.3k indexed citations i.

About

Paul Saxman is a scholar working on Molecular Biology, Ecology and Artificial Intelligence. According to data from OpenAlex, Paul Saxman has authored 12 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Artificial Intelligence. Recurrent topics in Paul Saxman’s work include Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (3 papers) and Microbial Community Ecology and Physiology (3 papers). Paul Saxman is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (3 papers) and Microbial Community Ecology and Physiology (3 papers). Paul Saxman collaborates with scholars based in United States, Italy and China. Paul Saxman's co-authors include Thomas M. Schmidt, James R. Cole, Joel A. Klappenbach, James M. Tiedje, Timothy Lilburn, Charles Thomas Parker, George M Garrity, B. Maidak, Ryan J. Farris and G J Olsen and has published in prestigious journals such as Nucleic Acids Research, Applied and Environmental Microbiology and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Paul Saxman i

Fields of papers citing papers by Paul Saxman

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

Countries citing papers authored by Paul Saxman

Since Specialization
Citations

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

Rankless by CCL
2025