Jay A. Moore

597 citations
12 papers · 399 · h-index 8

Impact in

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

Papers in

    • Pancreatic and Hepatic Oncology Research 2
    • Lung Cancer Research Studies 1
    • Urological Disorders and Treatments 1

Jay A. Moore

10 papers receiving 396 citations

Peers

Jay A. Moore
Comparison fields: 5 of 34
  • Oncology 256
  • Immunology 88
  • Cancer Research 59
  • Pulmonary and Respiratory Medicine 75
  • Epidemiology 49
Replace Yuto Yasuda with:
Yuto Yasuda Japan
Nikki Hunter United Kingdom
P. Dominick Sanders United States
Joanna Placzke Poland
Clifford Cho United States
Daliah Tsoref Israel
Stephanie Morrissey United States
Kirsty Lloyd United Kingdom
María José Juan-Fita Spain
Jay A. Moore relative to Yuto Yasuda Japan Yuto Yasuda's profile →
Citations per field
00.5×2×3.1×
Yuto Yasuda · 1×
Citations per year

Countries citing papers authored by Jay A. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Jay A. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay A. Moore. 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 Jay A. Moore. The network helps show where Jay A. Moore may publish in the future.

Co-authors

The 25 scholars most cited alongside Jay A. Moore, 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 Jay A. Moore Line = papers co-authored together Jay A. Moore links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2020192
2 202398
3 199324
4 202218
5 202317
6 202316
7 202116
8 20239
9 20246
10 20213
11 20240
12 20240

About Jay A. Moore

Jay A. Moore is a scholar working on Oncology, Urology, Pulmonary and Respiratory Medicine, Genetics and Cancer Research, having authored 12 papers that have together received 399 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (2 papers), Cancer Genomics and Diagnostics (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Immunotherapy and Immune Responses (1 paper), Urological Disorders and Treatments (1 paper), Lung Cancer Research Studies (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Oncology (256 citations), Immunology (88 citations), Cancer Research (59 citations), Pulmonary and Respiratory Medicine (75 citations) and Epidemiology (49 citations). Jay A. Moore has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Garrett Michael Frampton, Justin Y. Newberg, Radwa Sharaf, Ericka M. Ebot, Smruthy Sivakumar, Meagan Montesion, Afshin Dowlati, Douglas I. Lin, Christine Marie Lovly and Caterina I. Colón. Their work appears in journals such as JCO Precision Oncology, Cancer Discovery, Future Oncology, The Oncologist and JNCI Journal of the National Cancer Institute.

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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