Geoffrey S. Hamill

800 citations
16 papers · 682 indexed · h-index 13
Topics
Neuropeptides and Animal Physiology (9 papers)Neuroscience and Neuropharmacology Research (8 papers)Receptor Mechanisms and Signaling (6 papers)
Partner nations
United StatesCzechia

In The Last Decade

Geoffrey S. Hamill

16 papers receiving 670 citations

Peers

Geoffrey S. Hamill
Comparison fields: 5 of 57
  • Cellular and Molecular Neuroscience 498
  • Molecular Biology 319
  • Cognitive Neuroscience 116
  • Physiology 94
  • Endocrine and Autonomic Systems 84
Replace A. Consolazione with:
A. Consolazione Italy
Annica Dahlstr�m Sweden
Khushdev K. Sumal United States
F. M. Semenenko United Kingdom
Barry Fass United States
Igor Mitrovic United States
Liesl Duffy Australia
P.A. Schött Sweden
Lena Haglund Sweden
JM Palacios Netherlands
Geoffrey S. Hamill relative to A. Consolazione Italy A. Consolazione's profile →
Citations per field
00.5×4.5×
A. Consolazione · 1×
Citations per year

Countries citing papers authored by Geoffrey S. Hamill

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey S. Hamill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey S. Hamill. 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 Geoffrey S. Hamill. The network helps show where Geoffrey S. Hamill may publish in the future.

Co-authorship network of co-authors of Geoffrey S. Hamill

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey S. Hamill. A scholar is included among the top collaborators of Geoffrey S. Hamill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geoffrey S. Hamill. Geoffrey S. Hamill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 32
2 2
3 2
4 14
5 16
6 75
7 164
8 33
9 27
10 48
11 88
12 56
13 70
14 8
15 33
16 14

About Geoffrey S. Hamill

Geoffrey S. Hamill is a scholar working on Cellular and Molecular Neuroscience, Anatomy and Behavioral Neuroscience, having authored 16 papers that have together received 682 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (498 citations), Behavioral Neuroscience (61 citations) and Endocrine and Autonomic Systems (84 citations). Geoffrey S. Hamill has collaborated with scholars based in United States and Czechia. Frequent co-authors include David M. Jacobowitz, Nicholas J. Lenn, Hideaki Hara, Barry Fass, John A. Olschowka, Gerhard Skofitsch, Agu Pert, Paul B. S. Clarke, Viviana J. Wong and N. Suzan Nadi. Their work appears in journals such as The Journal of Comparative Neurology, Neuroscience and Neuroscience Letters.

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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