Mark Tangney

109 papers receiving 4.1k citations

Mark Tangney's Hit Papers

The Microbiota of Breast Tissue and Its Association with Breast Cancer 2016 · 501 citations
5010+4+8Years since publication100200300400500

Peers

Mark Tangney
Comparison fields: 5 of 149
  • Biotechnology 1.4k
  • Oncology 819
  • Molecular Biology 2.1k
  • Genetics 692
  • Biomedical Engineering 852
Replace Yeongjin Hong with:
Yeongjin Hong South Korea
Hyon E. Choy South Korea
Pamela Reilly Contag United States
Jonathan W. Hardy United States
Anna Sokolovska United States
Brian Salmons Austria
Francis Barany United States
Hiroyuki Abé Japan
Renate Kunert Austria
Loreé C. Heller United States
Mark Tangney relative to Yeongjin Hong South Korea Yeongjin Hong's profile →
Citations per field
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Yeongjin Hong · 1×
Citations per year

Countries citing papers authored by Mark Tangney

Since Specialization
Citations

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

Fields of papers citing papers by Mark Tangney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Microbiota of Breast Tissue and Its Association with Breast Cancer
Hit paper breakdown →
2016501
2
Microbiota of Human Breast Tissue
Hit paper breakdown →
2014425
3 2015252
4 2010148
5 2013139
6 2007138
7 2012116
8 2004112
9 2010100
10 200693
11 200791
12 201785
13 201078
14 200577
15 202071
16 201070
17 201362
18 201754
19 200853
20 201251

About Mark Tangney

Mark Tangney is a scholar working on Biotechnology, Genetics, Molecular Biology, Oncology and Immunology, having authored 111 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer Research and Treatments (37 papers), Virus-based gene therapy research (34 papers), Gut microbiota and health (13 papers), Bacteriophages and microbial interactions (11 papers), Microbial Inactivation Methods (8 papers), Immunotherapy and Immune Responses (8 papers), CAR-T cell therapy research (7 papers) and bioluminescence and chemiluminescence research (7 papers). The work is most often cited by research in Biotechnology (1.4k citations), Oncology (819 citations), Molecular Biology (2.1k citations), Genetics (692 citations) and Biomedical Engineering (852 citations). Mark Tangney has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Gerald C. O’Sullivan, Gregor Reid, Camilla Urbaniak, Joanne Cummins, M. Brackstone, Leslie Scott, Gregory Brian Gloor, Michelle A. Cronin, Panos Lehouritis and Yensi Flores Bueso. Their work appears in journals such as Current Gene Therapy, Journal of Controlled Release, Applied and Environmental Microbiology, Scientific Reports and Journal of Visualized Experiments.

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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