Neysa Garner

About

Neysa Garner is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Neysa Garner has authored 2 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Oncology and 1 paper in Immunology. Recurrent topics in Neysa Garner’s work include Cancer Immunotherapy and Biomarkers (1 paper), Immunotherapy and Immune Responses (1 paper) and CAR-T cell therapy research (1 paper). Neysa Garner is often cited by papers focused on Cancer Immunotherapy and Biomarkers (1 paper), Immunotherapy and Immune Responses (1 paper) and CAR-T cell therapy research (1 paper). Neysa Garner collaborates with scholars based in United States. Neysa Garner's co-authors include Diann Blanset, Diane Feingersh, Yi Wu, Mark Selby, Changyu Wang, Michelle Kuhne, Candy Garcia, Sujata Singh, Heidi Leblanc and Haichun Huang and has published in prestigious journals such as Molecular Endocrinology and Cancer Immunology Research.

In The Last Decade

Co-authorship network of co-authors of Neysa Garner i

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Fields of papers citing papers by Neysa Garner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neysa Garner

Since Specialization

Citations

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