Patrick G. Morris

8.6k total citations · 2 hit papers
136 papers, 5.2k citations indexed

About

Patrick G. Morris is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Patrick G. Morris has authored 136 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Oncology, 38 papers in Pulmonary and Respiratory Medicine and 27 papers in Cancer Research. Recurrent topics in Patrick G. Morris's work include HER2/EGFR in Cancer Research (38 papers), Cancer Treatment and Pharmacology (28 papers) and Breast Cancer Treatment Studies (15 papers). Patrick G. Morris is often cited by papers focused on HER2/EGFR in Cancer Research (38 papers), Cancer Treatment and Pharmacology (28 papers) and Breast Cancer Treatment Studies (15 papers). Patrick G. Morris collaborates with scholars based in United States, Ireland and Italy. Patrick G. Morris's co-authors include Clifford A. Hudis, Edi Brogi, Thórdur Óskarsson, Swarnali Acharyya, Sakari Vanharanta, Joan Massagué, Katia Manova‐Todorova, Monica Fornier, Larry Norton and Xi Kathy Zhou and has published in prestigious journals such as Cell, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Patrick G. Morris

130 papers receiving 5.2k citations

Hit Papers

A CXCL1 Paracrine Network Links Cancer Chemoresistance an... 2011 2026 2016 2021 2012 2011 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick G. Morris United States 33 2.8k 1.6k 1.2k 889 684 136 5.2k
Amit Maity United States 45 2.7k 1.0× 3.4k 2.1× 1.9k 1.6× 1.2k 1.4× 1.0k 1.5× 153 7.2k
Lia Gore United States 43 2.6k 0.9× 2.6k 1.6× 632 0.5× 821 0.9× 743 1.1× 202 6.1k
Maurizio Martini Italy 44 1.9k 0.7× 2.3k 1.5× 1.3k 1.1× 1.1k 1.2× 614 0.9× 281 6.5k
Xavier Sagaert Belgium 35 2.2k 0.8× 1.4k 0.9× 992 0.8× 996 1.1× 781 1.1× 118 4.9k
Kiyohiko Hatake Japan 41 2.3k 0.8× 1.3k 0.8× 527 0.5× 736 0.8× 1.2k 1.8× 237 5.1k
Antonio Jimeno United States 39 3.5k 1.3× 3.5k 2.2× 1.3k 1.1× 1.4k 1.6× 1.0k 1.5× 169 7.2k
Hal W. Hirte Canada 45 3.7k 1.3× 3.2k 2.0× 977 0.8× 1.3k 1.4× 1.0k 1.5× 156 8.1k
Rebecca Elstrom United States 31 1.9k 0.7× 1.8k 1.1× 1.3k 1.1× 488 0.5× 1.3k 1.9× 83 5.4k
Alain C. Mita United States 46 3.4k 1.2× 3.7k 2.3× 989 0.8× 1.8k 2.1× 837 1.2× 210 8.1k
Joseph Boni United States 28 1.8k 0.7× 2.5k 1.5× 822 0.7× 1.4k 1.5× 324 0.5× 88 4.7k

Countries citing papers authored by Patrick G. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Patrick G. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick G. Morris. 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 Patrick G. Morris. The network helps show where Patrick G. Morris may publish in the future.

Co-authorship network of co-authors of Patrick G. Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick G. Morris. A scholar is included among the top collaborators of Patrick G. Morris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patrick G. Morris. Patrick G. Morris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Roy, Gargi, Bryan T. Hennessy, Oscar S. Breathnach, et al.. (2025). Cutaneous Immune‐Related Adverse Events and Efficacy of Immune Checkpoint Inhibitors for Patients With Advanced Solid Organ Malignancies. International Journal of Dermatology. 65(4). 790–796.
2.
Fitzgerald, Conall, Justin M. Hintze, Donal J. Sexton, et al.. (2023). High frequency and mortality of head and neck malignancy in organ transplant recipients in Ireland – A national cohort study. American Journal of Otolaryngology. 44(4). 103827–103827. 1 indexed citations
3.
Rashed, Ahmed Nabih Zaki, David J. Easty, Dearbhaile Catherine Collins, et al.. (2023). An observational study of dose dense chemotherapy with lipegfilgrastim support in early breast cancer. BMC Cancer. 23(1). 171–171. 1 indexed citations
4.
Jansen, Michael, et al.. (2022). Case report: BRAF-inhibitor therapy in BRAF-mutated primary CNS tumours including one case of BRAF-mutated Rosai-Dorfman disease. Frontiers in Medicine. 9. 1070828–1070828. 2 indexed citations
5.
Toomey, Sinéad, Stephen F. Madden, Michelle Casey, et al.. (2020). Use of exhaled breath condensate (EBC) in the diagnosis of SARS-COV-2 (COVID-19). Thorax. 76(1). 86–88. 57 indexed citations
6.
O’Leary, Eamonn, Marie Galligan, Sandra Deady, et al.. (2019). Declining incidence of keratinocyte carcinoma in organ transplant recipients. British Journal of Dermatology. 181(5). 983–991. 20 indexed citations
7.
Keane, Fergus, Niamh M. Keegan, Philip J. O’Halloran, et al.. (2019). Similar overall survival with reduced vs. standard dose bevacizumab monotherapy in progressive glioblastoma. Cancer Medicine. 9(2). 469–475. 17 indexed citations
9.
Kunitake, Jennie A. M. R., Siyoung Choi, Kayla X. Nguyen, et al.. (2017). Correlative imaging reveals physiochemical heterogeneity of microcalcifications in human breast carcinomas. Journal of Structural Biology. 202(1). 25–34. 41 indexed citations
10.
O’Leary, Donal Peter, Elaine W. Kay, Michael A. Farrell, et al.. (2017). The significance of BRAF V600E mutation status discordance between primary cutaneous melanoma and brain metastases. Medicine. 96(48). e8404–e8404. 21 indexed citations
11.
Jhaveri, Komal, Sarat Chandarlapaty, Neil M. Iyengar, et al.. (2015). Biomarkers That Predict Sensitivity to Heat Shock Protein 90 Inhibitors. Clinical Breast Cancer. 16(4). 276–283. 10 indexed citations
12.
Iyengar, Neil M., Xi Kathy Zhou, Ayca Gucalp, et al.. (2015). Systemic Correlates of White Adipose Tissue Inflammation in Early-Stage Breast Cancer. Clinical Cancer Research. 22(9). 2283–2289. 162 indexed citations
13.
15.
Morris, Patrick G., Xi Kathy Zhou, Ginger L. Milne, et al.. (2013). Increased Levels of Urinary PGE-M, a Biomarker of Inflammation, Occur in Association with Obesity, Aging, and Lung Metastases in Patients with Breast Cancer. Cancer Prevention Research. 6(5). 428–436. 57 indexed citations
16.
Morris, Patrick G., Denise D. Correa, Joachim Yahalom, et al.. (2013). Rituximab, Methotrexate, Procarbazine, and Vincristine Followed by Consolidation Reduced-Dose Whole-Brain Radiotherapy and Cytarabine in Newly Diagnosed Primary CNS Lymphoma: Final Results and Long-Term Outcome. Journal of Clinical Oncology. 31(31). 3971–3979. 316 indexed citations
17.
Morris, Patrick G., et al.. (2013). Biological subtypes of breast cancer: current concepts and implications for recurrence patterns.. PubMed. 57(4). 312–21. 97 indexed citations
18.
Acharyya, Swarnali, Thórdur Óskarsson, Sakari Vanharanta, et al.. (2012). A CXCL1 Paracrine Network Links Cancer Chemoresistance and Metastasis. Cell. 150(1). 165–178. 859 indexed citations breakdown →
19.
20.
McArthur, Heather L. & Patrick G. Morris. (2009). Aromatase inhibitor strategies in metastatic breast cancer. SHILAP Revista de lepidopterología. 2 indexed citations

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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