Gary Wildey

2.2k citations
53 papers · 1.8k · h-index 22

Impact in

  • Oncology top 5%
    • Lung Cancer Research Studies
    • Peptidase Inhibition and Analysis
    • TGF-β signaling in diseases
    • Cell death mechanisms and regulation

Papers in

    • Lung Cancer Research Studies 17
    • Peptidase Inhibition and Analysis 5
    • Cell death mechanisms and regulation 6
    • Cancer therapeutics and mechanisms 5
    • Receptor Mechanisms and Signaling 4

Gary Wildey

53 papers receiving 1.7k citations

Peers

Gary Wildey
Comparison fields: 5 of 100
  • Oncology 621
  • Molecular Biology 932
  • Cancer Research 173
  • Biomaterials 135
  • Hepatology 73
Replace Kati Elima with:
Kati Elima Finland
Elias Shezen Israel
Satyajit Karnik United States
Peetra U. Magnusson Sweden
Shu‐Ching Hsu Taiwan
Giuseppina Bonanno Italy
Robin C. Muise‐Helmericks United States
Vasiliki Gkretsi Cyprus
Minhyung Kim United States
Tanja Schönberger Germany
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Citations per field
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Kati Elima · 1×
Citations per year

Countries citing papers authored by Gary Wildey

Since Specialization
Citations

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

Fields of papers citing papers by Gary Wildey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003192
2 2005189
3 2017111
4 200388
5 198688
6 200881
7 200977
8 200876
9 200074
10 201673
11 201669
12 198562
13 201653
14 201546
15 201943
16 200942
17 201438
18 201837
19 201436
20 201525

About Gary Wildey

Gary Wildey is a scholar working on Oncology, Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (17 papers), Neuroendocrine Tumor Research Advances (9 papers), Cell death mechanisms and regulation (6 papers), Heart Failure Treatment and Management (6 papers), Lung Cancer Treatments and Mutations (6 papers), Peptidase Inhibition and Analysis (5 papers), Cancer therapeutics and mechanisms (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Oncology (621 citations), Molecular Biology (932 citations), Cancer Research (173 citations), Biomaterials (135 citations) and Hepatology (73 citations). Gary Wildey has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Philip H. Howe, Afshin Dowlati, Cahir A. McDevitt, Xiaojun Qi, Rochelle Cutrone, Michael Yang, Adam Kresak, Supriya Patil, Pingfu Fu and Karen McColl. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of Thoracic Oncology and Oncotarget.

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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