Simon T. Barry

14.2k citations
124 papers · 6.3k · 3 hit papers · h-index 38

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 18
    • Angiogenesis and VEGF in Cancer 12
    • Cancer Immunotherapy and Biomarkers 10

Simon T. Barry

123 papers receiving 6.2k citations

Simon T. Barry's Hit Papers

Therapeutic targeting of tumour myeloid cells 2023 · 184 citations
1840+4+8Years since publication4008001.2k

Peers

Simon T. Barry
Comparison fields: 5 of 147
  • Immunology and Allergy 768
  • Biomaterials 1.4k
  • Cell Biology 904
  • Oncology 1.3k
  • Cancer Research 612
Replace Kazuki N. Sugahara with:
Kazuki N. Sugahara United States
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Citations per field
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Citations per year

Countries citing papers authored by Simon T. Barry

Since Specialization
Citations

This map shows the geographic impact of Simon T. Barry'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 Simon T. Barry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon T. Barry more than expected).

Fields of papers citing papers by Simon T. Barry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon T. Barry. 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 Simon T. Barry. The network helps show where Simon T. Barry may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Challenges and Key Considerations of the Enhanced Permeability and Retention Effect for Nanomedicine Drug Delivery in Oncology
Hit paper breakdown →
20131207
2
Challenges and strategies in anti-cancer nanomedicine development: An industry perspective
Hit paper breakdown →
2016915
3 2001303
4 2015211
5
Therapeutic targeting of tumour myeloid cells
Hit paper breakdown →
2023184
6 1994154
7 1996136
8 1998127
9 2013113
10 1997111
11 2000104
12 2003103
13 201594
14 201593
15 200191
16 201189
17 200487
18 200287
19 201483
20 201678

About Simon T. Barry

Simon T. Barry is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Cell Biology, having authored 124 papers that have together received 6.3k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (18 papers), Cell Adhesion Molecules Research (13 papers), Angiogenesis and VEGF in Cancer (12 papers), Cancer Immunotherapy and Biomarkers (10 papers), Immune cells in cancer (10 papers), Cancer, Hypoxia, and Metabolism (9 papers), Immune Cell Function and Interaction (9 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Immunology and Allergy (768 citations), Biomaterials (1.4k citations), Cell Biology (904 citations), Oncology (1.3k citations) and Cancer Research (612 citations). Simon T. Barry has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David R. Critchley, Jennifer I. Hare, Marianne Ashford, Sanyogitta Puri, Twan Lammers, Gert Storm, David C. Blakey, Piotr Grodzinski, Hiroshi Maeda and Uma Prabhakar. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, British Journal of Cancer, Analytical Chemistry and Clinical Cancer Research.

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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