Daniel Spinks

25 papers receiving 973 citations

Peers

Daniel Spinks
Comparison fields: 5 of 65
  • Epidemiology 343
  • Computational Theory and Mathematics 164
  • Organic Chemistry 207
  • Public Health, Environmental and Occupational Health 207
  • Pharmacology 48
Replace Frederick R. C. Simeons with:
Frederick R. C. Simeons United Kingdom
Suzanne Norval United Kingdom
Deuan C. Jones United Kingdom
Raphaël Rahmani Australia
Iain T. Collie United Kingdom
Joseline Ratnam United States
Giulia Chemi Italy
Silvia Galiano Spain
Jonathan W. Lockner United States
Kyriakos C. Prousis Greece
Daniel Spinks relative to Frederick R. C. Simeons United Kingdom Frederick R. C. Simeons's profile →
Citations per field
00.5×1.5×
Frederick R. C. Simeons · 1×
Citations per year

Countries citing papers authored by Daniel Spinks

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Spinks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019140
2 2011101
3 200989
4 200272
5 200968
6 200967
7 200564
8 200148
9 200947
10 201842
11 201039
12 201139
13 201736
14 200727
15 199822
16 201521
17 200420
18 201717
19 202011
20 20109

About Daniel Spinks

Daniel Spinks is a scholar working on Epidemiology, Pharmacology, Public Health, Environmental and Occupational Health, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 25 papers that have together received 1k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (12 papers), Research on Leishmaniasis Studies (3 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Treatment of Major Depression (2 papers), Organoboron and organosilicon chemistry (1 paper), Protein Tyrosine Phosphatases (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Epidemiology (343 citations), Computational Theory and Mathematics (164 citations), Organic Chemistry (207 citations), Public Health, Environmental and Occupational Health (207 citations) and Pharmacology (48 citations). Daniel Spinks has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Alan H. Fairlamb, Ian Hugh Gilbert, Paul Graham Wyatt, Julie A. Frearson, Sandra L. Oza, Susan Wyllie, Leah S. Torrie, David A. Robinson, Ruth Brenk and Justin R. Harrison. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences and Malaria Journal.

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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