Neysa Garner

658 citations
2 papers · 529 · 1 hit paper · h-index 2

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Treatments and Studies
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

Neysa Garner

2 papers receiving 513 citations

Neysa Garner's Hit Papers

In Vitro Characterization of the Anti-PD-1 Antibody Nivolumab, BMS-936558, and In Vivo Toxicology in Non-Human Primates 2014 · 472 citations
4720+4+8Years since publication100200300400

Peers

Neysa Garner
Comparison fields: 5 of 58
  • Oncology 392
  • Immunology 210
  • Pulmonary and Respiratory Medicine 102
  • Genetics 24
  • Radiology, Nuclear Medicine and Imaging 51
Replace Diane Feingersh with:
Diane Feingersh United States
Grégoire Berthod Switzerland
Magnus Pedersen Denmark
Neill Iscoe Canada
Jens Samol Singapore
Chrysoula I. Liakou United States
Felipe G. Gercovich Argentina
Talicia Savage United States
Ainara Soria Spain
Jean-Pascal H. Machiels United States
Neysa Garner relative to Diane Feingersh United States Diane Feingersh's profile →
Citations per field
00.5×1.5×
Diane Feingersh · 1×
Citations per year

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).

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.

Co-authors

The 23 scholars most cited alongside Neysa Garner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neysa Garner Line = papers co-authored together Neysa Garner links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
In Vitro Characterization of the Anti-PD-1 Antibody Nivolumab, BMS-936558, and In Vivo Toxicology in Non-Human Primates
Hit paper breakdown →
2014472
2 200457

About Neysa Garner

Neysa Garner is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Oncology, Immunology and Infectious Diseases, having authored 2 papers that have together received 529 indexed citations. Recurring topics across this work include CAR-T cell therapy research (1 paper), Kruppel-like factors research (1 paper), Epigenetics and DNA Methylation (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper), Immunotherapy and Immune Responses (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Oncology (392 citations), Immunology (210 citations), Pulmonary and Respiratory Medicine (102 citations), Genetics (24 citations) and Radiology, Nuclear Medicine and Imaging (51 citations). Neysa Garner has collaborated with scholars based in United States. Frequent co-authors include Alan J. Korman, Minhua Han, Diann Blanset, Yi Wu, Diane Feingersh, M. S. Srinivasan, Heidi Leblanc, Haichun Huang, Changyu Wang and Susan Wong. Their work appears in journals such as Cancer Immunology Research and Molecular Endocrinology.

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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