David J. Unett

1.3k citations
21 papers · 969 indexed · h-index 12
Topics
Receptor Mechanisms and Signaling (11 papers)Neurotransmitter Receptor Influence on Behavior (5 papers)Neuropeptides and Animal Physiology (5 papers)

In The Last Decade

David J. Unett

20 papers receiving 935 citations

Peers

David J. Unett
Comparison fields: 5 of 89
  • Molecular Biology 567
  • Endocrinology, Diabetes and Metabolism 366
  • Surgery 259
  • Cellular and Molecular Neuroscience 244
  • Pharmacology 166
Replace Qingtong Zhou with:
Qingtong Zhou China
Aaron S. Goetz United States
Celia P. Briscoe United Kingdom
Daniel J Donnelly United Kingdom
Laura Jenkins United Kingdom
Phong Nguyen United States
Anja Rosengarth United States
Kenneth Thirstrup Denmark
S. M. Doel United Kingdom
Peter Coward United States
David J. Unett relative to Qingtong Zhou China Qingtong Zhou's profile →
Citations per field
00.5×3.7×
Qingtong Zhou · 1×
Citations per year

Countries citing papers authored by David J. Unett

Since Specialization
Citations

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

Fields of papers citing papers by David J. Unett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Unett. 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 David J. Unett. The network helps show where David J. Unett may publish in the future.

Co-authorship network of co-authors of David J. Unett

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Unett. A scholar is included among the top collaborators of David J. Unett 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 David J. Unett. David J. Unett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 4
4 0
5 3
6 40
7 4
8 49
9 33
10 1
11 2
12 39
13 45
14 103
15 248
16 178
17 5
18 36
19 25
20 33

About David J. Unett

David J. Unett is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 969 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (366 citations), Cellular and Molecular Neuroscience (244 citations) and Pharmacology (166 citations). David J. Unett has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include John Frazer, William Thomsen, Graeme Semple, Robert M. Jones, James Leonard, Christopher J. Carroll, Zhi‐Liang Chu, Ibragim Gaidarov, Hongmei He and Dominic P. Behan. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal and Endocrinology.

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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