Stuart D. Tyner

31 papers receiving 1.9k citations

Stuart D. Tyner's Hit Papers

p53 mutant mice that display early ageing-associated phenotypes 2002 · 1.1k citations
1.1k0+8+16Years since publication2505007501000

Peers

Stuart D. Tyner
Comparison fields: 5 of 112
  • Aging 278
  • Molecular Medicine 97
  • Oncology 486
  • Critical Care and Intensive Care Medicine 77
  • Geriatrics and Gerontology 55
Replace Elena Zagato with:
Elena Zagato Italy
N. Tony Eissa United States
Nirmal Robinson Australia
Eva Rath Germany
Tao Hong China
Elaine R. Nimmo United Kingdom
Wojciech Ornatowski United States
Christoph Beißwenger Germany
Vu Nguyen United States
Martina Dorsch Germany
Stuart D. Tyner relative to Elena Zagato Italy Elena Zagato's profile →
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Citations per year

Countries citing papers authored by Stuart D. Tyner

Since Specialization
Citations

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

Fields of papers citing papers by Stuart D. Tyner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart D. Tyner. 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 Stuart D. Tyner. The network helps show where Stuart D. Tyner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
p53 mutant mice that display early ageing-associated phenotypes
Hit paper breakdown →
20021103
2 2014104
3 201768
4 200168
5 202163
6 200353
7 201152
8 201038
9 201336
10 200433
11 201532
12 200729
13 201228
14 202228
15 201824
16 201724
17 201522
18 201322
19 201118
20 202014

About Stuart D. Tyner

Stuart D. Tyner is a scholar working on Public Health, Environmental and Occupational Health, Oncology, Emergency Medical Services, Molecular Biology and Epidemiology, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Malaria Research and Control (10 papers), Cancer-related Molecular Pathways (6 papers), Disaster Response and Management (5 papers), Antibiotic Resistance in Bacteria (3 papers), Cancer Research and Treatments (3 papers), Burn Injury Management and Outcomes (3 papers), Computational Drug Discovery Methods (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (278 citations), Molecular Medicine (97 citations), Oncology (486 citations), Critical Care and Intensive Care Medicine (77 citations) and Geriatrics and Gerontology (55 citations). Stuart D. Tyner has collaborated with scholars based in United States, Thailand and Cambodia. Frequent co-authors include Lawrence A. Donehower, Sundaresan Venkatachalam, Xiongbin Lu, Nader Ghebranious, Jene Choi, Allan Bradley, Timothy Thompson, Stephen N. Jones, Sang Hee Park and Gérard Karsenty. Their work appears in journals such as Malaria Journal, Antimicrobial Agents and Chemotherapy, PLoS ONE, Apmis and Frontiers in Bioengineering and Biotechnology.

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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