Zackary Falls

27 papers and 445 indexed citations i.

About

Zackary Falls is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Zackary Falls has authored 27 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 5 papers in Materials Chemistry. Recurrent topics in Zackary Falls’s work include Computational Drug Discovery Methods (10 papers), Machine Learning in Materials Science (4 papers) and Bioinformatics and Genomic Networks (3 papers). Zackary Falls is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Machine Learning in Materials Science (4 papers) and Bioinformatics and Genomic Networks (3 papers). Zackary Falls collaborates with scholars based in United States and Denmark. Zackary Falls's co-authors include Eva Zurek, Patrick Avery, Ram Samudrala, Andrew Shamp, Tiange Bi, Nina Tymińska, Xiaoyu Wang, Katerina P. Hilleke, David Lonie and Zachary Ende and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and Clinical Microbiology Reviews.

In The Last Decade

Co-authorship network of co-authors of Zackary Falls i

Fields of papers citing papers by Zackary Falls

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

Countries citing papers authored by Zackary Falls

Since Specialization
Citations

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

Rankless by CCL
2025