Neysa Garner

663 citations
2 papers · 536 · 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
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

Neysa Garner

2 papers receiving 521 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 · 479 citations
4790+4+8Years since publication100200300400

Peers

Neysa Garner
Comparison fields: 5 of 54
  • Oncology 359
  • Immunology 190
  • Radiology, Nuclear Medicine and Imaging 50
  • Pulmonary and Respiratory Medicine 66
  • Genetics 21
Replace Kroopa Joshi with:
Kroopa Joshi United Kingdom
Diane Feingersh United States
Abigail L. Sedlacek United States
Marjolein de Bruijn Netherlands
Donald Gravenor United States
Gwen Kramer United States
Talicia Savage United States
Magnus Pedersen Denmark
Pedro A. Andrade Filho United States
Chrysoula I. Liakou United States
Neysa Garner relative to Kroopa Joshi United Kingdom Kroopa Joshi's profile →
Citations per field
00.5×1.5×2.2×
Kroopa Joshi · 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 22 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 →
2014479
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 536 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (1 paper), Kruppel-like factors research (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), CAR-T cell therapy research (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Oncology (359 citations), Immunology (190 citations), Radiology, Nuclear Medicine and Imaging (50 citations), Pulmonary and Respiratory Medicine (66 citations) and Genetics (21 citations). Neysa Garner has collaborated with scholars based in United States. Frequent co-authors include Changyu Wang, Sujata Singh, Candy Garcia, Diann Blanset, Mark Selby, Yi Wu, Diane Feingersh, Xitao Wang, Susan Wong and Roderick T. Bunch. Their work appears in journals such as Molecular Endocrinology and Cancer Immunology Research.

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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