Pamela Kanellis

9 papers and 615 indexed citations i.

About

Pamela Kanellis is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Pamela Kanellis has authored 9 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 2 papers in Neurology. Recurrent topics in Pamela Kanellis’s work include Multiple Sclerosis Research Studies (4 papers), DNA Repair Mechanisms (3 papers) and Long-Term Effects of COVID-19 (2 papers). Pamela Kanellis is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), DNA Repair Mechanisms (3 papers) and Long-Term Effects of COVID-19 (2 papers). Pamela Kanellis collaborates with scholars based in Canada, United States and Italy. Pamela Kanellis's co-authors include Daniel Durocher, Tamara J. O’Connor, Justin R. Nodwell, Cristina Rabadan‐Diehl, Vijay Ganju, Abdallah S. Daar, Nasser Loza, Fernando Rubinstein, Victoria K. Ngo and Robert J. Fox and has published in prestigious journals such as Current Biology, Genetics and Molecular Microbiology.

In The Last Decade

Co-authorship network of co-authors of Pamela Kanellis i

Fields of papers citing papers by Pamela Kanellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela Kanellis. 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 Pamela Kanellis. The network helps show where Pamela Kanellis may publish in the future.

Countries citing papers authored by Pamela Kanellis

Since Specialization
Citations

This map shows the geographic impact of Pamela Kanellis'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 Pamela Kanellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Kanellis 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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2025