Leeona Galligan

693 total citations
9 papers, 591 citations indexed

About

Leeona Galligan is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Leeona Galligan has authored 9 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 2 papers in Hematology. Recurrent topics in Leeona Galligan's work include Cell death mechanisms and regulation (4 papers), Cancer-related Molecular Pathways (4 papers) and Colorectal Cancer Treatments and Studies (2 papers). Leeona Galligan is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Cancer-related Molecular Pathways (4 papers) and Colorectal Cancer Treatments and Studies (2 papers). Leeona Galligan collaborates with scholars based in United Kingdom, Ireland and Japan. Leeona Galligan's co-authors include Daniel B. Longley, Timothy R. Wilson, Patrick G. Johnston, Miranda McEwan, Wendy L. Allen, Ultan McDermott, Kirsty M. McLaughlin, Anthi Karaı̈skou, Sandra Van Schaeybroeck and Eric Van Cutsem and has published in prestigious journals such as Cancer Research, Oncogene and Clinical Cancer Research.

In The Last Decade

Leeona Galligan

9 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leeona Galligan United Kingdom	8	384	264	87	80	78	9	591
M. Seifert Germany	12	348 0.9×	318 1.2×	112 1.3×	127 1.6×	145 1.9×	24	753
Mi Kwon Son South Korea	18	418 1.1×	302 1.1×	132 1.5×	65 0.8×	34 0.4×	41	830
Akiko Tohgo Japan	18	501 1.3×	526 2.0×	98 1.1×	86 1.1×	76 1.0×	37	930
Nobuyoshi Tsuruoka Japan	15	354 0.9×	174 0.7×	67 0.8×	69 0.9×	161 2.1×	31	562
Suk‐young Lee South Korea	16	395 1.0×	216 0.8×	148 1.7×	60 0.8×	34 0.4×	43	719
Dongkyoo Park United States	14	545 1.4×	287 1.1×	137 1.6×	93 1.2×	20 0.3×	19	802
Michael G. Schlieman United States	8	240 0.6×	279 1.1×	108 1.2×	40 0.5×	39 0.5×	11	498
Stephany Corrêa Brazil	13	432 1.1×	209 0.8×	209 2.4×	76 0.9×	50 0.6×	27	670
Xiaobo Cao United States	18	554 1.4×	215 0.8×	85 1.0×	97 1.2×	32 0.4×	27	861
N Saijo Japan	12	302 0.8×	277 1.0×	54 0.6×	44 0.6×	24 0.3×	25	602

Countries citing papers authored by Leeona Galligan

Since Specialization

Citations

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

Fields of papers citing papers by Leeona Galligan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leeona Galligan

This figure shows the co-authorship network connecting the top 25 collaborators of Leeona Galligan. A scholar is included among the top collaborators of Leeona Galligan 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 Leeona Galligan. Leeona Galligan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Catherwood, Mark, Nick Orr, Leeona Galligan, et al.. (2009). ABCB1 (MDR1)rs1045642 is associated with increased overall survival in plasma cell myeloma. Leukemia & lymphoma. 50(4). 566–570. 23 indexed citations

Galligan, Leeona, et al.. (2008). Mutated IgHV1-69 gene usage represents a distinct subgroup associated with indolent disease in chronic lymphocytic leukemia. Leukemia & lymphoma. 49(4). 763–768. 6 indexed citations

Rogers, Katherine, Leeona Galligan, Timothy R. Wilson, et al.. (2007). Cellular FLICE-inhibitory protein regulates chemotherapy-induced apoptosis in breast cancer cells. Molecular Cancer Therapeutics. 6(5). 1544–1551. 34 indexed citations

Longley, Daniel B., Timothy R. Wilson, Miranda McEwan, et al.. (2005). c-FLIP inhibits chemotherapy-induced colorectal cancer cell death. Oncogene. 25(6). 838–848. 164 indexed citations

Schaeybroeck, Sandra Van, Anthi Karaı̈skou, Daniel B. Longley, et al.. (2005). Epidermal Growth Factor Receptor Activity Determines Response of Colorectal Cancer Cells to Gefitinib Alone and in Combination with Chemotherapy. Clinical Cancer Research. 11(20). 7480–7489. 89 indexed citations

Galligan, Leeona, Daniel B. Longley, Miranda McEwan, et al.. (2005). Chemotherapy and TRAIL-mediated colon cancer cell death: the roles of p53, TRAIL receptors, and c-FLIP. Molecular Cancer Therapeutics. 4(12). 2026–2036. 137 indexed citations

McDermott, Ultan, Daniel B. Longley, Leeona Galligan, et al.. (2005). Effect of p53 Status and STAT1 on Chemotherapy-Induced, Fas-Mediated Apoptosis in Colorectal Cancer. Cancer Research. 65(19). 8951–8960. 61 indexed citations

Galligan, Leeona, Wendy Livingstone, Yuri Volkov, et al.. (2001). Characterization of protein C receptor expression in monocytes. British Journal of Haematology. 115(2). 408–414. 69 indexed citations

Galligan, Leeona, Cynthia L. Jackson, & Leonard E. Gerber. (1993). Carotenoids Slow the Growth of Small Cell Lung Cancer Cellsa. Annals of the New York Academy of Sciences. 691(1). 267–269. 8 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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