Ian Kitchen

6.2k total citations · 1 hit paper
162 papers, 5.1k citations indexed

About

Ian Kitchen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Ian Kitchen has authored 162 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Cellular and Molecular Neuroscience, 90 papers in Molecular Biology and 39 papers in Physiology. Recurrent topics in Ian Kitchen's work include Neuropeptides and Animal Physiology (75 papers), Receptor Mechanisms and Signaling (66 papers) and Pharmacological Receptor Mechanisms and Effects (36 papers). Ian Kitchen is often cited by papers focused on Neuropeptides and Animal Physiology (75 papers), Receptor Mechanisms and Signaling (66 papers) and Pharmacological Receptor Mechanisms and Effects (36 papers). Ian Kitchen collaborates with scholars based in United Kingdom, United States and France. Ian Kitchen's co-authors include Brigitte L. Kieffer, Hans W. D. Matthes, Alexis Bailey, Frédéric Simonin, Rafaël Maldonado, Katia Befort, Olga Valverde, Eleni T. Tzavara, Bernárd P. Roques and Jacques Hanoune and has published in prestigious journals such as Nature, Cell and Journal of Neuroscience.

In The Last Decade

Ian Kitchen

161 papers receiving 5.0k citations

Hit Papers

Loss of morphine-induced analgesia, reward effect and wit... 1996 2026 2006 2016 1996 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ian Kitchen United Kingdom 34 3.2k 2.5k 1.2k 741 480 162 5.1k
Donald M. Kuhn United States 47 3.0k 0.9× 2.1k 0.9× 1.0k 0.8× 399 0.5× 465 1.0× 152 6.5k
Franco Borsini Italy 41 3.5k 1.1× 2.0k 0.8× 662 0.5× 932 1.3× 282 0.6× 152 6.1k
Paula L. Hoffman United States 47 4.1k 1.3× 2.9k 1.2× 929 0.8× 525 0.7× 423 0.9× 176 7.2k
Ellen M. Unterwald United States 39 3.9k 1.2× 2.9k 1.2× 790 0.7× 342 0.5× 222 0.5× 127 5.1k
Kurt Rasmussen United States 36 2.5k 0.8× 1.6k 0.6× 608 0.5× 368 0.5× 421 0.9× 75 4.3k
Yukitoshi Izumi United States 44 3.3k 1.0× 2.2k 0.9× 944 0.8× 349 0.5× 243 0.5× 131 7.1k
Steven P. Wilson United States 40 2.1k 0.6× 2.1k 0.8× 1.5k 1.2× 303 0.4× 459 1.0× 121 4.7k
Brian M. Cox United States 44 4.3k 1.3× 4.2k 1.7× 1.4k 1.1× 459 0.6× 319 0.7× 143 6.7k
Geoffrey B. Varty United States 37 1.8k 0.6× 1.1k 0.5× 356 0.3× 659 0.9× 226 0.5× 65 3.2k
John R. Fozard Switzerland 44 5.5k 1.7× 5.1k 2.1× 2.4k 2.0× 779 1.1× 788 1.6× 165 11.1k

Countries citing papers authored by Ian Kitchen

Since Specialization
Citations

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

Fields of papers citing papers by Ian Kitchen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Kitchen

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Kitchen. A scholar is included among the top collaborators of Ian Kitchen 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 Ian Kitchen. Ian Kitchen 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
1.
Hussey, Martin, Geoffrey D. Clarke, Catherine Ledent, Ian Kitchen, & S.M.O. Hourani. (2010). Genetic deletion of the adenosine A2A receptor in mice reduces the changes in spinal cord NMDA receptor binding and glucose uptake caused by a nociceptive stimulus. Neuroscience Letters. 479(3). 297–301. 13 indexed citations
2.
Metaxas, Athanasios, et al.. (2010). Differential region‐specific regulation of α4β2* nAChRs by self‐administered and non‐contingent nicotine in C57BL/6J mice. Addiction Biology. 15(4). 464–479. 34 indexed citations
4.
Castañé, Anna, Guadalupe Sòria, S.M.O. Hourani, et al.. (2008). Behavioural and biochemical responses to morphine associated with its motivational properties are altered in adenosine A2Areceptor knockout mice. British Journal of Pharmacology. 155(5). 757–766. 20 indexed citations
5.
Guan, Ji‐Song, Zhen‐Zhong Xu, Hua Gao, et al.. (2005). Interaction with Vesicle Luminal Protachykinin Regulates Surface Expression of δ-Opioid Receptors and Opioid Analgesia. Cell. 122(4). 619–631. 118 indexed citations
6.
Bailey, Alexis, Lianne C. Davis, Heidi M. B. Lesscher, et al.. (2004). Enhanced morphine withdrawal and µ‐opioid receptor G‐protein coupling in A2Aadenosine receptor knockout mice. Journal of Neurochemistry. 88(4). 827–834. 32 indexed citations
7.
Czyzyk, Traci A., Joshua F. Nitsche, Kerstin Larsson, et al.. (2002). Autoradiography of opioid and ORL1 ligands in opioid receptor triple knockout mice. European Journal of Neuroscience. 16(9). 1705–1712. 28 indexed citations
8.
Goody, Robin J & Ian Kitchen. (2001). Influence of Maternal Milk on Functional Activation of δ-Opioid Receptors in Postnatal Rats. Journal of Pharmacology and Experimental Therapeutics. 296(3). 744–748. 8 indexed citations
9.
Kitchen, Ian, et al.. (1999). Opioid analgesia: new information from gene knockout studies. Current Opinion in Anaesthesiology. 12(5). 609–614. 5 indexed citations
10.
Hourani, S.M.O., et al.. (1999). Ontogeny of adenosine receptors in the longitudinal muscle and muscularis mucosae of the rat distal colon. Naunyn-Schmiedeberg s Archives of Pharmacology. 359(2). 140–146. 2 indexed citations
11.
12.
Ridd, Michael J., Paul Fosbraey, & Ian Kitchen. (1998). The effect of acute kainic acid treatment on μ-opioid receptors in rat brain. Brain Research. 814(1-2). 26–33. 8 indexed citations
13.
Hourani, S.M.O., et al.. (1996). Differential development of adenosine A1and A2breceptors in the rat duodenum. British Journal of Pharmacology. 119(5). 949–958. 9 indexed citations
14.
Matthes, Hans W. D., Rafaël Maldonado, Frédéric Simonin, et al.. (1996). Loss of morphine-induced analgesia, reward effect and withdrawal symptoms in mice lacking the µ-opioid-receptor gene. Nature. 383(6603). 819–823. 1414 indexed citations breakdown →
15.
Cabo, Carlos de, et al.. (1993). Effects of β-funaltrexamine treatment and sexual isolation in the perinatal period on the development of μ-opioid receptors and nociception. Psychoneuroendocrinology. 18(5-6). 415–424. 14 indexed citations
16.
Kitchen, Ian, et al.. (1992). Mechanisms involved in the cardiovascular responses to opioid products of proenkephalin in the anaesthetised rat. General Pharmacology The Vascular System. 23(2). 269–277. 17 indexed citations
17.
Kitchen, Ian, et al.. (1990). Antagonism of swim‐stress‐induced antinociception by the δ‐opioid receptor antagonist naltrindole in adult and young rats. British Journal of Pharmacology. 100(4). 685–688. 57 indexed citations
18.
Jackson, Helen C. & Ian Kitchen. (1989). Bombesin-induced behavior in infant rats. Peptides. 10(3). 529–531. 9 indexed citations
19.
Yeadon, M. & Ian Kitchen. (1989). Opioids and respiration. Progress in Neurobiology. 33(1). 1–16. 84 indexed citations
20.
Green, Paul G., Ian Kitchen, & Martin Crowder. (1988). Interactions between anticholinesterase poisoning and opioid analgesia and locomotion in mice. Neurotoxicology and Teratology. 10(4). 315–319. 2 indexed citations

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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