Ty McClure

649 citations
20 papers · 510 · h-index 11

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Iron Metabolism and Disorders

Papers in

    • HER2/EGFR in Cancer Research 3
    • TGF-β signaling in diseases 3
    • Kruppel-like factors research 2
    • Glycosylation and Glycoproteins Research 1

Ty McClure

20 papers receiving 496 citations

Peers

Ty McClure
Comparison fields: 5 of 71
  • Genetics 93
  • Hematology 77
  • Small Animals 30
  • Molecular Biology 233
  • Physiology 79
Replace Weiru Wu with:
Weiru Wu China
Christopher J. Elson United Kingdom
Séverine Loisel‐Meyer France
Kazuhiro Suzuki Japan
Chenhui Zou United States
Melanie K. Kuechle United States
Victoria G. Aveson United States
L. McMillan United Kingdom
Yeon‐Ho Chung South Korea
Bruce H. Petersen United States
Ty McClure relative to Weiru Wu China Weiru Wu's profile →
Citations per field
00.5×4.2×
Weiru Wu · 1×
Citations per year

Countries citing papers authored by Ty McClure

Since Specialization
Citations

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

Fields of papers citing papers by Ty McClure

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016174
2 201489
3 201154
4 201347
5 201828
6 201524
7 199919
8 195513
9 195910
10 195110
11 201410
12 20197
13 20205
14 20165
15 20145
16 20144
17 20163
18 20131
19 20131
20 20161

About Ty McClure

Ty McClure is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Small Animals and Pharmacology, having authored 20 papers that have together received 510 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), TGF-β signaling in diseases (3 papers), Renal cell carcinoma treatment (2 papers), Kruppel-like factors research (2 papers), Helminth infection and control (2 papers), Glycosylation and Glycoproteins Research (1 paper), Animal health and immunology (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Genetics (93 citations), Hematology (77 citations), Small Animals (30 citations), Molecular Biology (233 citations) and Physiology (79 citations). Ty McClure has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Kenneth M. Attie, Matthew L. Sherman, Dawn Wilson, Kathryn Selby, Mark A. Tarnopolsky, Hugh J. McMillan, Craig Campbell, Jean K. Mah, Diana M. Escolar and Amelia E. Pearsall. Their work appears in journals such as Journal of Clinical Oncology, New Zealand Veterinary Journal, Clinical Cancer Research, Journal of Hepatology and European Journal of Cancer.

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.

Explore authors with similar magnitude of impact