P. O’Grady

1.2k citations
19 papers · 1.1k · h-index 13

Impact in

Papers in

    • TGF-β signaling in diseases 4
    • Protein Tyrosine Phosphatases 3
    • Ubiquitin and proteasome pathways 2
    • Metabolism, Diabetes, and Cancer 1
    • Protease and Inhibitor Mechanisms 5

P. O’Grady

19 papers receiving 1.0k citations

Peers

P. O’Grady
Comparison fields: 5 of 87
  • Immunology and Allergy 221
  • Cancer Research 434
  • Hematology 167
  • Oncology 274
  • Molecular Biology 587
Replace Teresa Maguire with:
Teresa Maguire Ireland
Jasminka Vukanovic United States
Sarah Attwell United States
Kaname Yamashita Japan
Russell Ross United States
Gerald E. Stoica United States
Maria I. Torres‐Arzayus United States
Rafael Mira-y-Lopez United States
Joo Heon Kim South Korea
Louis Hornez France
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Citations per field
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Citations per year

Countries citing papers authored by P. O’Grady

Since Specialization
Citations

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

Fields of papers citing papers by P. O’Grady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. O’Grady. 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 P. O’Grady. The network helps show where P. O’Grady may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1988245
2 1988185
3 1998116
4
Tissue-type plasminogen activator, a new prognostic marker in breast cancer.
198876
5 199161
6 198459
7 201156
8
Multiple forms of plasminogen activator in human breast tumors.
198551
9 199449
10 199239
11 199137
12 198627
13 200923
14 195311
15
An investigation into the role of oxygen free radical scavengers in preventing polymethylmethacrylate-induced necrosis in an osteoblast cell culture.
20008
16 20066
17 19815
18 19872
19 20021

About P. O’Grady

P. O’Grady is a scholar working on Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism, Immunology and Allergy and Hematology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), TGF-β signaling in diseases (4 papers), Protein Tyrosine Phosphatases (3 papers), Cell Adhesion Molecules Research (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Immunology and Allergy (221 citations), Cancer Research (434 citations), Hematology (167 citations), Oncology (274 citations) and Molecular Biology (587 citations). P. O’Grady has collaborated with scholars based in United States, Ireland and Japan. Frequent co-authors include Shuan Shian Huang, Jung San Huang, Haruo Saito, Michael J. Duffy, J. J. Fennelly, L O'Siorain, D. Devaney, Tran C. Thai, H.R. Lijnen and Mutsuhiro Takekawa. Their work appears in journals such as Journal of Biological Chemistry, Cancer, Nature Cell Biology, Journal of the American Chemical Society 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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