Maya Gurnani

16 papers and 512 indexed citations i.

About

Maya Gurnani is a scholar working on Genetics, Biotechnology and Oncology. According to data from OpenAlex, Maya Gurnani has authored 16 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Biotechnology and 6 papers in Oncology. Recurrent topics in Maya Gurnani’s work include Virus-based gene therapy research (10 papers), Cancer Research and Treatments (9 papers) and Cancer-related Molecular Pathways (6 papers). Maya Gurnani is often cited by papers focused on Virus-based gene therapy research (10 papers), Cancer Research and Treatments (9 papers) and Cancer-related Molecular Pathways (6 papers). Maya Gurnani collaborates with scholars based in United States, Canada and Switzerland. Maya Gurnani's co-authors include Loretta L. Nielsen, Gerald Hajian, Janet Dell, Philip Lipari, Bin Shi, Anthony Cacciapuoti, Ronald D. Tyler, Carolyn Discafani, Michél Laverdière and Paul M. McNicholas and has published in prestigious journals such as Nature Communications, Antimicrobial Agents and Chemotherapy and American Journal Of Pathology.

In The Last Decade

Co-authorship network of co-authors of Maya Gurnani i

Fields of papers citing papers by Maya Gurnani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Gurnani

Since Specialization
Citations

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