Danny Simpson

48 papers receiving 958 citations

Danny Simpson's Hit Papers

Improving prime editing with an endogenous small RNA-binding protein 2024 · 126 citations
1260+1Years since publication4080120

Peers

Danny Simpson
Comparison fields: 5 of 123
  • Toxicology 131
  • Aging 16
  • Oncology 212
  • Emergency Medicine 47
  • Business and International Management 11
Replace Mamoru Nomura with:
Mamoru Nomura Japan
M. J. Richard France
Markus Kellmann Germany
Gonçalo C. Pereira Portugal
Carlos A. Barrero United States
Pornpun Vivithanaporn Thailand
David E. Watson United States
Shuqi Cui United States
Hiroki Nanri Japan
J. Walsh United States
Danny Simpson relative to Mamoru Nomura Japan Mamoru Nomura's profile →
Citations per field
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Mamoru Nomura · 1×
Citations per year

Countries citing papers authored by Danny Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Danny Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Improving prime editing with an endogenous small RNA-binding protein
Hit paper breakdown →
2024126
2 2021113
3 201898
4 199880
5 201865
6 199549
7 199543
8 198741
9 201938
10 201633
11 201731
12 199826
13 199725
14 198821
15 201719
16 198619
17 202415
18 199314
19 201713
20 198913

About Danny Simpson

Danny Simpson is a scholar working on Molecular Biology, Toxicology, Oncology, Emergency Medicine and Cellular and Molecular Neuroscience, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (12 papers), Poisoning and overdose treatments (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), vaccines and immunoinformatics approaches (5 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Cutaneous Melanoma Detection and Management (3 papers) and Psychedelics and Drug Studies (3 papers). The work is most often cited by research in Toxicology (131 citations), Aging (16 citations), Oncology (212 citations), Emergency Medicine (47 citations) and Business and International Management (11 citations). Danny Simpson has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include D R Jarvie, Tomas Kirchhoff, Jun Yan, Purnima Ravisankar, Britt Adamson, L. F. Prescott, Iman Osman, Anna C. Pavlick, Una Moran and Aída Verdes. Their work appears in journals such as Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Journal of Clinical Oncology, Clinical Chemistry, Journal of Clinical Pathology and Journal of Translational Medicine.

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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