T. Featherstone

463 citations
16 papers · 259 · h-index 8

Impact in

Papers in

    • Genomics and Chromatin Dynamics 2
    • RNA and protein synthesis mechanisms 2
    • DNA Repair Mechanisms 2
    • Testicular diseases and treatments 2

T. Featherstone

16 papers receiving 249 citations

Peers

T. Featherstone
Comparison fields: 5 of 75
  • Aging 5
  • Cancer Research 34
  • Molecular Biology 145
  • Plant Science 51
  • Biochemistry 8
Replace Wun Jae Kim with:
Wun Jae Kim South Korea
Masahiro Kodani Japan
Ewelina Zarakowska Poland
Daniel Chiu United States
Jacob Levy United States
Natacha Driessens Belgium
D. Michael Bradburn United Kingdom
Tomoyo Ukai Japan
Neha Sharma Singapore
Steven A. Stefanski United States
T. Featherstone relative to Wun Jae Kim South Korea Wun Jae Kim's profile →
Citations per field
00.5×1.5×
Wun Jae Kim · 1×
Citations per year

Countries citing papers authored by T. Featherstone

Since Specialization
Citations

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

Fields of papers citing papers by T. Featherstone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Genomic instability and catalase gene amplification induced by chronic exposure to oxidative stress.
1998129
2 199034
3 199120
4 199619
5 198911
6 19909
7 19979
8 19877
9 19905
10 19883
11 19923
12
Aorto-enteric fistulas: a cause of gastrointestinal bleeding not to be missed
20102
13 19892
14 19882
15 19932
16 19912

About T. Featherstone

T. Featherstone is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Plant Science, having authored 16 papers that have together received 259 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (3 papers), Viral-associated cancers and disorders (2 papers), Genomics and Chromatin Dynamics (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Testicular diseases and treatments (2 papers), RNA and protein synthesis mechanisms (2 papers), DNA Repair Mechanisms (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Aging (5 citations), Cancer Research (34 citations), Molecular Biology (145 citations), Plant Science (51 citations) and Biochemistry (8 citations). T. Featherstone has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Sau Wai Cheung, Clayton R. Hunt, R. Ariel Gómez, Randy A. Hock, Shannon Sullivan, Wendy L. Golden, Julia Sim, Douglas R. Spitz, Liying Sun and A. Horwich. Their work appears in journals such as Clinical Oncology, Cytogenetic and Genome Research, Postgraduate Medical Journal, Clinical Radiology and Gut.

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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