Paul Smith

28 papers receiving 1.8k citations

Hit Papers

DRAM, a p53-Induced Modulator of Autophagy, Is Critical for Apoptosis 2006 · 1.1k citations
1.1k20062026201220192505007501000

Peers

Paul Smith
Comparison fields: 5 of 103
  • Cancer Research 351
  • Epidemiology 758
  • Physiology 98
  • Geriatrics and Gerontology 75
  • Oncology 458
Replace Nichola Cruickshanks with:
Nichola Cruickshanks United States
Satoru Torii Japan
Graham C. Fletcher Canada
Bruno D. Fonseca Canada
Ayaz Najafov United States
Rodolfo Zunino Canada
Megan M. Cleland United States
Twan van den Beucken Netherlands
Bethany E. Schaffer United States
Tomoaki Kahyo Japan
Paul Smith relative to Nichola Cruickshanks United States Nichola Cruickshanks's profile →
Citations per field
00.5×3.3×
Nichola Cruickshanks · 1×
Citations per year

Countries citing papers authored by Paul Smith

Since Specialization
Citations

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

Fields of papers citing papers by Paul Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DRAM, a p53-Induced Modulator of Autophagy, Is Critical for Apoptosis
Hit paper breakdown →
20061093
2 1998137
3
Arylamine N-acetyltransferase-1 is highly expressed in breast cancers and conveys enhanced growth and resistance to etoposide in vitro.
200389
4 199984
5 198761
6 202150
7 200946
8 201044
9 200536
10 200935
11 199831
12 201830
13 199622
14 200620
15 200916
16 202415
17 201515
18 200514
19 201211
20 20199

About Paul Smith

Paul Smith is a scholar working on Health Informatics, Developmental Neuroscience, Cancer Research, Oncology and Museology, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (2 papers), Cancer Genomics and Diagnostics (2 papers), Meningioma and schwannoma management (2 papers), DNA Repair Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cancer Research (351 citations), Epidemiology (758 citations), Physiology (98 citations), Geriatrics and Gerontology (75 citations) and Oncology (458 citations). Paul Smith has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Tim Crook, Diane Crighton, Milena Gasco, Ornella Garrone, Simon Wilkinson, Paul R. Harrison, Kevin M. Ryan, Jim O’Prey, Nelofer Syed and M. Rufus Crompton. Their work appears in journals such as Cancer Research, Biochemical Journal, Oncogene, Cell Metabolism and British Journal of Cancer.

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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