Kennedy L. Queen
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Physiology
- Endocrine and Autonomic Systems top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Lisa A. Orband‐MillerT A SlotkinWilliam L. WhitmoreF J SeidlerC. G. PIERREPOINTC.B. DhabuwalaThomas J. RimeleD. P. Cuthbertson
- Topics
- Receptor Mechanisms and Signaling (6 papers)Neuropeptides and Animal Physiology (4 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Cited by
- Endocrine and Autonomic SystemsCellular and Molecular NeuroscienceDevelopmental Neuroscience
- Journals
- The LancetJournal of Medicinal ChemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Kennedy L. Queen
19 papers receiving 978 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 500
- Cellular and Molecular Neuroscience 274
- Physiology 166
- Endocrine and Autonomic Systems 158
- Pediatrics, Perinatology and Child Health 133
Countries citing papers authored by Kennedy L. Queen
This map shows the geographic impact of Kennedy L. Queen'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 Kennedy L. Queen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kennedy L. Queen more than expected).
Fields of papers citing papers by Kennedy L. Queen
This network shows the impact of papers produced by Kennedy L. Queen. 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 Kennedy L. Queen. The network helps show where Kennedy L. Queen may publish in the future.
Co-authorship network of co-authors of Kennedy L. Queen
This figure shows the co-authorship network connecting the top 25 collaborators of Kennedy L. Queen. A scholar is included among the top collaborators of Kennedy L. Queen 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 Kennedy L. Queen. Kennedy L. Queen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 22 | |
| 3 | 63 | |
| 4 | 3 | |
| 5 | 71 | |
| 6 | 20 | |
| 7 | 18 | |
| 8 | 31 | |
| 9 | 79 | |
| 10 | 7 | |
| 11 | 40 | |
| 12 | 18 | |
| 13 | 48 | |
| 14 | 158 | |
| 15 | 68 | |
| 16 | 150 | |
| 17 | 6 | |
| 18 | 88 | |
| 19 | 106 |
About Kennedy L. Queen
Kennedy L. Queen is a scholar working on Developmental Neuroscience, Endocrine and Autonomic Systems and Clinical Biochemistry, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (158 citations), Cellular and Molecular Neuroscience (274 citations) and Developmental Neuroscience (42 citations). Kennedy L. Queen has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Lisa A. Orband‐Miller, T A Slotkin, William L. Whitmore, F J Seidler, C. G. PIERREPOINT, C.B. Dhabuwala, Thomas J. Rimele, D. P. Cuthbertson, Elizabeth E. Sugg and A. Fleck. Their work appears in journals such as The Lancet, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.
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.