Kevin J. Paavola

9 papers and 508 indexed citations i.

About

Kevin J. Paavola is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Kevin J. Paavola has authored 9 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Immunology. Recurrent topics in Kevin J. Paavola’s work include Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Kevin J. Paavola is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Kevin J. Paavola collaborates with scholars based in United States and Poland. Kevin J. Paavola's co-authors include Randy A. Hall, Jason R. Stephenson, Michael R. Eckart, J. Bradley Zuchero, Harwin Sidik, William S. Talbot, Shawn Alter, Erwin G. Van Meir, Balveen Kaur and Paul R. Reynolds and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Kevin J. Paavola i

Fields of papers citing papers by Kevin J. Paavola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin J. Paavola. 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 Kevin J. Paavola. The network helps show where Kevin J. Paavola may publish in the future.

Countries citing papers authored by Kevin J. Paavola

Since Specialization
Citations

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

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.

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