Nathan Collins

986 citations
31 papers · 828 · h-index 14

Impact in

Papers in

Nathan Collins

31 papers receiving 776 citations

Peers

Nathan Collins
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 304
  • Molecular Biology 536
  • Spectroscopy 103
  • Computational Theory and Mathematics 57
  • Organic Chemistry 82
Replace Gianluigi Caltabiano with:
Gianluigi Caltabiano Spain
Malea M. Kneen United States
Michael E. Cooper United Kingdom
Sujatha M. Gopalakrishnan United States
L. Michel Espinoza‐Fonseca United States
Massimo Bellanda Italy
Siew Peng Ho United States
Ying‐Chieh Sun Taiwan
Zygmunt Wasylewski Poland
Rǎzvan L. Cornea United States
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Citations per field
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Gianluigi Caltabiano · 1×
Citations per year

Countries citing papers authored by Nathan Collins

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995208
2 200091
3 199684
4 202061
5 199455
6 200350
7 199635
8 200432
9 201027
10 199620
11 199419
12 199319
13 200417
14 199717
15 199412
16 198211
17 201010
18 19958
19 20188
20 20238

About Nathan Collins

Nathan Collins is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Computational Theory and Mathematics and Spectroscopy, having authored 31 papers that have together received 828 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (12 papers), Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Computational Drug Discovery Methods (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (304 citations), Molecular Biology (536 citations), Spectroscopy (103 citations), Computational Theory and Mathematics (57 citations) and Organic Chemistry (82 citations). Nathan Collins has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Victor J. Hruby, Henry I. Yamamura, Richard J. Knapp, Jean Y. Wang, Lei Fang, William R. Roeske, Ewa Malatyńska, Sajid Khan Tahir, Sajeev Cherian and Edward K. Han. Their work appears in journals such as Journal of the American Chemical Society, Regulatory Peptides, Journal of Medicinal Chemistry, Organic Process Research & Development and Journal of Flow Chemistry.

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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