Thomas Agnew

596 citations
11 papers · 350 · h-index 9

Impact in

  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism
    • PARP inhibition in cancer therapy

Papers in

    • Mitochondrial Function and Pathology 3
    • DNA Repair Mechanisms 2
    • Fibroblast Growth Factor Research 2
    • Epigenetics and DNA Methylation 1
    • PARP inhibition in cancer therapy 5

Thomas Agnew

11 papers receiving 349 citations

Peers

Thomas Agnew
Comparison fields: 5 of 59
  • Physiology 40
  • Oncology 193
  • Geriatrics and Gerontology 13
  • Immunology 71
  • Clinical Biochemistry 23
Replace Lanjun Xu with:
Lanjun Xu China
Jozef P. Bossowski France
Alexandra Provost France
Khalid Arhzaouy Germany
Christian Oertlin Sweden
Angela To United States
Christopher J. Layton Australia
Slovénie Pyndiah United States
Ryousuke Fujita Japan
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Agnew

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Agnew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202181
2 202176
3 201759
4 201846
5 201832
6 202118
7 201815
8 202112
9 20189
10
Care trusts. The urge to merge.
20011
11 19671

About Thomas Agnew

Thomas Agnew is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Immunology and Electrical and Electronic Engineering, having authored 11 papers that have together received 350 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (5 papers), Mitochondrial Function and Pathology (3 papers), Genetic Neurodegenerative Diseases (3 papers), DNA Repair Mechanisms (2 papers), Fibroblast Growth Factor Research (2 papers), Lightning and Electromagnetic Phenomena (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Physiology (40 citations), Oncology (193 citations), Geriatrics and Gerontology (13 citations), Immunology (71 citations) and Clinical Biochemistry (23 citations). Thomas Agnew has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Ivan Ahel, Luca Palazzo, Evgeniia Prokhorova, Dragana Ahel, Marcin J. Suskiewicz, Michael L. Nielsen, Joséphine Groslambert, Andreja Mikoč, Joanna Poulton and Deeksha Munnur. Their work appears in journals such as Molecular Cell, Human Molecular Genetics, Life Science Alliance, Cell Reports and Frontiers in Cell and Developmental Biology.

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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