Kathy Gately

2.6k citations
78 papers · 1.8k · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Peptidase Inhibition and Analysis

Papers in

Kathy Gately

77 papers receiving 1.8k citations

Peers

Kathy Gately
Comparison fields: 5 of 103
  • Cancer Research 301
  • Oncology 420
  • Pulmonary and Respiratory Medicine 429
  • Pathology and Forensic Medicine 167
  • Molecular Biology 684
Replace Chiara Paglino with:
Chiara Paglino Italy
Linda Grass Canada
Dapeng Wu China
Bingyin Shi China
Zhonghua Xu China
Wei‐An Chang Taiwan
Peihua Luo China
Ala Abudayyeh United States
Xiaobo He China
Mi Ran Yun South Korea
Kathy Gately relative to Chiara Paglino Italy Chiara Paglino's profile →
Citations per field
00.5×1.7×
Chiara Paglino · 1×
Citations per year

Countries citing papers authored by Kathy Gately

Since Specialization
Citations

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

Fields of papers citing papers by Kathy Gately

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013240
2 2008127
3 201699
4 200891
5 202185
6 201676
7 201576
8 202070
9 201366
10 201566
11 201764
12 200758
13 200755
14 201555
15 202348
16 201130
17 201929
18 201129
19 201927
20 201426

About Kathy Gately

Kathy Gately is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (17 papers), Lung Cancer Diagnosis and Treatment (12 papers), Cancer Mechanisms and Therapy (9 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), NF-κB Signaling Pathways (6 papers), Cancer therapeutics and mechanisms (6 papers), Peptidase Inhibition and Analysis (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Cancer Research (301 citations), Oncology (420 citations), Pulmonary and Respiratory Medicine (429 citations), Pathology and Forensic Medicine (167 citations) and Molecular Biology (684 citations). Kathy Gately has collaborated with scholars based in Ireland, Australia and United Kingdom. Frequent co-authors include Kenneth J. O’Byrne, Susan Heavey, Anne‐Marie Baird, Martin P. Barr, Nael Al-Sarraf, Stephen P. Finn, P. Godwin, Julie Lucey, Sinéad Cuffe and Vincent Young. Their work appears in journals such as Lung Cancer, Journal of Clinical Oncology, Journal of Thoracic Oncology, Cancers and Clinical Lung 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.

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