Gregory McCarty

532 citations
12 papers · 440 · h-index 10

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Renal and related cancers
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing

Papers in

Gregory McCarty

12 papers receiving 435 citations

Peers

Gregory McCarty
Comparison fields: 5 of 52
  • Cancer Research 131
  • Molecular Biology 310
  • Pulmonary and Respiratory Medicine 121
  • Oncology 69
  • Genetics 32
Replace Timothy L. Lochmann with:
Timothy L. Lochmann United States
Martijn Terpstra Netherlands
Helio A. Costa United States
Sara Siddiqi United States
Deiter J. Duff United States
Yumiko Kasugai Japan
Jinghua Feng Australia
Iwona Ziółkowska‐Suchanek Poland
Akifumi Uchida Japan
Gregory McCarty relative to Timothy L. Lochmann United States Timothy L. Lochmann's profile →
Citations per field
00.5×2×3×3.6×
Timothy L. Lochmann · 1×
Citations per year

Countries citing papers authored by Gregory McCarty

Since Specialization
Citations

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

Fields of papers citing papers by Gregory McCarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200264
2 201661
3 201557
4 201554
5 201152
6 201748
7 200635
8 201727
9 201425
10 200115
11 20151
12 20151

About Gregory McCarty

Gregory McCarty is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Hematology, having authored 12 papers that have together received 440 indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Sarcoma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), Renal cell carcinoma treatment (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Acute Myeloid Leukemia Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cancer Research (131 citations), Molecular Biology (310 citations), Pulmonary and Respiratory Medicine (121 citations), Oncology (69 citations) and Genetics (32 citations). Gregory McCarty has collaborated with scholars based in United States and Germany. Frequent co-authors include David M. Loeb, Philip J. Farabaugh, Guillaume Stahl, Ola Awad, Masanori Hayashi, Christian F. Meyer, Carol D. Morris, Elizabeth A. Montgomery, Adam S. Levin and Kyle W. Jackson. Their work appears in journals such as Oncotarget, Oncogene, Cold Spring Harbor Symposia on Quantitative Biology, Blood and Journal of Clinical Oncology.

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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