Dane Liston

41 papers receiving 1.6k citations

Peers

Dane Liston
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 588
  • Pharmacology 392
  • Computational Theory and Mathematics 230
  • Molecular Biology 752
  • Organic Chemistry 307
Replace G. Gaviraghi with:
G. Gaviraghi Italy
Donald B. Carter United States
James C. Barrow United States
Alan Naylor United Kingdom
Patricia Salvati Italy
Wilma Quaglia Italy
Scott J. Pollack United States
James E. Audia United States
Francesco Makovec Italy
Andrew W. Stamford United States
Dane Liston relative to G. Gaviraghi Italy G. Gaviraghi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dane Liston

Since Specialization
Citations

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

Fields of papers citing papers by Dane Liston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017248
2 2003173
3 1994150
4 1984116
5 198994
6 199492
7 198381
8 198266
9 198363
10 198961
11 198560
12 199239
13 201039
14 199538
15 199536
16 198431
17 198330
18 200428
19
Chromosomal localization of the human proenkephalin and prodynorphin genes.
198824
20 199118

About Dane Liston

Dane Liston is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Pharmacology and Physiology, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (14 papers), Receptor Mechanisms and Signaling (12 papers), Cholinesterase and Neurodegenerative Diseases (12 papers), Chemical synthesis and alkaloids (5 papers), Neuroendocrine regulation and behavior (4 papers), Alzheimer's disease research and treatments (3 papers), Computational Drug Discovery Methods (3 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (588 citations), Pharmacology (392 citations), Computational Theory and Mathematics (230 citations), Molecular Biology (752 citations) and Organic Chemistry (307 citations). Dane Liston has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Mark M. Davis, Jean Rossier, Jean‐Jacques Vanderhaeghen, Shawn B. Jones, Karen Ward, Stevin H. Zorn, Gilles Patey, Douglas S. Chapin, Jann A. Nielsen and Anabella Villalobos. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, European Journal of Pharmacology, Neuropeptides and Life Sciences.

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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