Michael Gallagher

1.6k citations
30 papers · 941 indexed · h-index 16

Impact in

Papers in

    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 5
    • Cancer Genomics and Diagnostics 4
    • Cancer Cells and Metastasis 8

Michael Gallagher

30 papers receiving 913 citations

Peers

Michael Gallagher
Comparison fields: 5 of 94
  • Cancer Research 197
  • Psychiatry and Mental health 159
  • Behavioral Neuroscience 32
  • Oncology 232
  • Molecular Biology 388
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Weidong Jin China
Juji Takeuchi Japan
Hong Zhu China
Masahide Fujita Japan
Tingting Yu China
Ulrike Haus Germany
C. W. Song United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Gallagher

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gallagher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202310
3 20208
4 202011
5 20188
6 201771
7 201714
8 20154
9 201540
10 201415
11 201210
12 201222
13 201168
14 200915
15 200774
16
Global mRNA analysis to determine a transcriptome profile of cancer stemness in a mouse model.
20076
17 200741
18 200210
19 199867
20 199666

About Michael Gallagher

Michael Gallagher is a scholar working on Cancer Research, Oncology, Rehabilitation, Cell Biology and Occupational Therapy, having authored 30 papers that have together received 941 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Cancer Genomics and Diagnostics (4 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Epigenetics and DNA Methylation (3 papers), Microtubule and mitosis dynamics (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (197 citations), Psychiatry and Mental health (159 citations), Behavioral Neuroscience (32 citations), Oncology (232 citations) and Molecular Biology (388 citations). Michael Gallagher has collaborated with scholars based in Ireland, United States and Australia. Frequent co-authors include John O’Leary, Brendan Ffrench, Claudia Gasch, Kelly Thomas, Monica Tsang, Phillip K. Peterson, Chun C. Chao, Edward N. Janoff, Sharon O’Toole and Orla Sheils. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Journal of Ovarian Research, Oncotarget, Molecular Cancer and SLAS DISCOVERY.

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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