Neil R. Curtis

1.7k citations
31 papers · 1.2k indexed · h-index 20

Neil R. Curtis

31 papers receiving 1.1k citations

Peers

Neil R. Curtis
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 611
  • Biological Psychiatry 46
  • Organic Chemistry 441
  • Molecular Biology 682
  • Behavioral Neuroscience 35
Replace Romano Di Fabio with:
Romano Di Fabio Italy
Ian M. Mawer United States
Eric Vieira Switzerland
Boyd L. Harrison United States
Jean-Louis Péglion France
Pascal George France
Francine Sternfeld United Kingdom
Kyle A. Emmitte United States
Jürgen Wichmann Switzerland
Susan M. Cook United States
Neil R. Curtis relative to Romano Di Fabio Italy Romano Di Fabio's profile →
Citations per field
00.5×1.5×1.9×
Romano Di Fabio · 1×
Citations per year

Countries citing papers authored by Neil R. Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Neil R. Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil R. Curtis. 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 Neil R. Curtis. The network helps show where Neil R. Curtis may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20196
2 200821
3 200825
4 200326
5 200329
6 20026
7 200120
8 200010
9 199940
10 199843
11 1996228
12 1994120
13 199411
14 199319
15 1991126
16 199121
17 198918
18 19882
19 198871
20 198633

About Neil R. Curtis

Neil R. Curtis is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (8 papers), Receptor Mechanisms and Signaling (7 papers), Asymmetric Synthesis and Catalysis (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Synthetic Organic Chemistry Methods (5 papers), Neuropeptides and Animal Physiology (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (611 citations), Biological Psychiatry (46 citations) and Organic Chemistry (441 citations). Neil R. Curtis has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Janusz J. Kulagowski, Paul D. Leeson, Ian M. Mawer, Andrew B. Holmes, Mark P. Ridgill, Smita S. Patel, R. BAKER, Stephen B. Freedman, Frances Emms and Shil Patel. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Chemistry - A European 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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