Dene Simpson

32 papers receiving 1.1k citations

Peers

Dene Simpson
Comparison fields: 5 of 112
  • Anesthesiology and Pain Medicine 45
  • Psychiatry and Mental health 112
  • Infectious Diseases 143
  • Applied Microbiology and Biotechnology 14
  • Hepatology 44
Replace Andrew J. Ball with:
Andrew J. Ball United Kingdom
David J. Shim United States
Allan N. Maroli United States
Elliot D. Rosenstein United States
Shuo Wang China
Milada Mahic Norway
Teresinha Leal Belgium
Young Ok Kim South Korea
Omar S. Qureshi United Kingdom
Aakanksha Jain United States
Dene Simpson relative to Andrew J. Ball United Kingdom Andrew J. Ball's profile →
Citations per field
00.5×2×3×4×4.7×
Andrew J. Ball · 1×
Citations per year

Countries citing papers authored by Dene Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Dene Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Dene Simpson, 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 Dene Simpson Line = papers co-authored together Dene Simpson 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 2007171
2 2005126
3 200490
4 200462
5 200554
6 200352
7 200852
8 200651
9 200649
10 200845
11 200443
12 200242
13 200436
14 200532
15 200331
16 200729
17 200327
18 200627
19 200727
20 200924

About Dene Simpson

Dene Simpson is a scholar working on Hepatology, Epidemiology, Cancer Research, Pharmacology and Pathology and Forensic Medicine, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Cardiovascular Syncope and Autonomic Disorders (3 papers), Attention Deficit Hyperactivity Disorder (3 papers), Estrogen and related hormone effects (2 papers), Trypanosoma species research and implications (2 papers), Anesthesia and Pain Management (2 papers), Multiple Sclerosis Research Studies (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (45 citations), Psychiatry and Mental health (112 citations), Infectious Diseases (143 citations), Applied Microbiology and Biotechnology (14 citations) and Hepatology (44 citations). Dene Simpson has collaborated with scholars based in United States, New Zealand and Netherlands. Frequent co-authors include Monique P Curran, Lesley J. Scott, Greg L. Plosker, Gillian M. Keating, Caroline M. Perry, Stuart Noble, Katherine Ann Lyseng-Williamson, Antona J. Wagstaff, Vicki Oldfield and Keri Wellington. Their work appears in journals such as Drugs, BioDrugs, CNS Drugs, Pediatric Drugs and American Journal of Cardiovascular Drugs.

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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