Conor McKenna

1.4k citations
5 papers · 1.0k · 1 hit paper · h-index 4

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • CAR-T cell therapy research
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • Global Cancer Incidence and Screening 1
    • Microbial Inactivation Methods 2

Conor McKenna

5 papers receiving 1.0k citations

Hit Papers

Acquired Resistance to Fractionated Radiotherapy Can Be Overcome by Concurrent PD-L1 Blockade 2014 · 974 citations
9740+4+8Years since publication250500750

Peers

Conor McKenna
Comparison fields: 5 of 57
  • Oncology 831
  • Immunology 393
  • Pulmonary and Respiratory Medicine 348
  • Biotechnology 72
  • Otorhinolaryngology 30
Replace Youjin Lee with:
Youjin Lee South Korea
Amy L. Adlard United Kingdom
Grazyna Lipowska‐Bhalla United Kingdom
Christina M. Kochel United States
Max M. Wattenberg United States
Felix Klug Germany
Runbo Zhong China
Edmund Poon United Kingdom
Anne Marie Yang United States
Brian J. Francica United States
Conor McKenna relative to Youjin Lee South Korea Youjin Lee's profile →
Citations per field
00.5×1.5×
Youjin Lee · 1×
Citations per year

Countries citing papers authored by Conor McKenna

Since Specialization
Citations

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

Fields of papers citing papers by Conor McKenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Conor McKenna, 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 Conor McKenna Line = papers co-authored together Conor McKenna links everyone, so they are left out of the graph.

All Works

About Conor McKenna

Conor McKenna is a scholar working on Oncology, Biotechnology, Immunology, Psychiatry and Mental health and Molecular Biology, having authored 5 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Global Cancer Incidence and Screening (1 paper), Plant Genetic and Mutation Studies (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Oncology (831 citations), Immunology (393 citations), Pulmonary and Respiratory Medicine (348 citations), Biotechnology (72 citations) and Otorhinolaryngology (30 citations). Conor McKenna has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Simon J. Dovedi, Jamie Honeychurch, Eleanor J. Cheadle, Robert W. Wilkinson, Amy L. Adlard, Ian J. Stratford, Grazyna Lipowska‐Bhalla, Ross Stewart, Michelle Morrow and Hazel Jones. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Biophysical Journal, Cancer Research and BMJ.

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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