K. Lederis

7.9k total citations
204 papers, 6.4k citations indexed

About

K. Lederis is a scholar working on Surgery, Social Psychology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, K. Lederis has authored 204 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Surgery, 60 papers in Social Psychology and 58 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in K. Lederis's work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (78 papers), Neuroendocrine regulation and behavior (60 papers) and Hormonal Regulation and Hypertension (51 papers). K. Lederis is often cited by papers focused on Cardiovascular, Neuropeptides, and Oxidative Stress Research (78 papers), Neuroendocrine regulation and behavior (60 papers) and Hormonal Regulation and Hypertension (51 papers). K. Lederis collaborates with scholars based in Canada, Germany and United States. K. Lederis's co-authors include Masahiro Sakanaka, Tamotsu Shibasaki, D. McMaster, James N. Fryer, W. L. Veale, Jean Rivier, Donald S. Farner, Quentin J. Pittman, H. Heller and Morley D. Hollenberg and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

K. Lederis

203 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Lederis Canada 46 2.0k 1.8k 1.7k 1.6k 1.3k 204 6.4k
Claude Kordon France 48 958 0.5× 2.6k 1.5× 750 0.4× 804 0.5× 2.5k 1.9× 242 7.2k
Stephen J. Lolait United States 43 2.7k 1.4× 4.1k 2.3× 1.4k 0.8× 1.2k 0.8× 1.1k 0.8× 89 10.4k
J. Rivier United States 57 2.3k 1.2× 2.5k 1.4× 4.4k 2.5× 820 0.5× 2.7k 2.1× 156 10.8k
Sergio R. Ojeda United States 69 2.5k 1.3× 2.8k 1.5× 1.4k 0.8× 528 0.3× 2.9k 2.2× 272 16.1k
G. Pelletier Canada 59 1.1k 0.5× 3.5k 2.0× 1.2k 0.7× 661 0.4× 2.5k 1.9× 258 11.9k
John C. Porter United States 47 966 0.5× 1.7k 1.0× 1.2k 0.7× 564 0.3× 2.4k 1.9× 177 7.5k
J. Meites United States 56 1.6k 0.8× 2.4k 1.4× 2.5k 1.5× 354 0.2× 5.0k 3.8× 358 12.8k
Marie‐Christine Tonon France 42 625 0.3× 2.4k 1.3× 659 0.4× 642 0.4× 513 0.4× 151 4.5k
Sylvie Jégou France 37 437 0.2× 1.8k 1.0× 483 0.3× 911 0.6× 774 0.6× 129 4.2k
Dorothy T. Krieger United States 57 1.1k 0.5× 2.8k 1.5× 2.0k 1.1× 516 0.3× 2.6k 2.0× 161 8.3k

Countries citing papers authored by K. Lederis

Since Specialization
Citations

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

Fields of papers citing papers by K. Lederis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Lederis

This figure shows the co-authorship network connecting the top 25 collaborators of K. Lederis. A scholar is included among the top collaborators of K. Lederis 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 K. Lederis. K. Lederis 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.
Meyerhof, Wolfgang, et al.. (1995). Teleost isotocin receptor: structure, functional expression, mRNA distribution and phylogeny. FEBS Letters. 370(3). 227–230. 71 indexed citations
2.
Gonzalez, G. C., et al.. (1995). Presence of sauvagine-like epitopes in the interrenal gland of the bullfrog Rana catesbeiana. Cell and Tissue Research. 283(1). 117–123. 2 indexed citations
3.
Gonzalez, G. C., et al.. (1992). Distribution and coexistence of urotensin I and urotensin II peptides in the cerebral ganglia of Aplysia californica. Peptides. 13(4). 695–703. 19 indexed citations
4.
Ito, Masaaki, et al.. (1991). Contraction of rat thoracic aorta strips by endothelin‐1 in the absence of extracellular Ca2+. British Journal of Pharmacology. 104(4). 847–852. 19 indexed citations
5.
Suzuki, Yasuhíro, Ichiro Ikegaki, Toshio Asano, et al.. (1990). Endothelin causes contraction of canine and bovine arterial smooth muscle in vitro and in vivo. Acta Neurochirurgica. 104(1-2). 42–47. 11 indexed citations
6.
Hollenberg, Morley D., I Muramatsu, H Itoh, et al.. (1989). Contractile actions of epidermal growth factor-urogastrone in isolated smooth muscle preparations from guinea pig stomach: structure-activity relationships and comparison with the effects of human transforming growth factor-alpha.. Journal of Pharmacology and Experimental Therapeutics. 248(1). 384–390. 18 indexed citations
7.
Huang, Minta, Hiroo Itoh, K. Lederis, & O.P. Rorstad. (1989). Evidence that vascular actions of PHI are mediated by a VIP-preferring receptor. Peptides. 10(5). 993–1001. 14 indexed citations
8.
Sakanaka, Masahiro, Sumiko Magari, Tamotsu Shibasaki, & K. Lederis. (1988). Corticotropin releasing factor‐containing afferents to the lateral septum of the rat brain. The Journal of Comparative Neurology. 270(3). 404–415. 38 indexed citations
9.
Itoh, Hiroo, D. McMaster, & K. Lederis. (1988). Functional receptors for fish neuropeptide urotensin II in major rat arteries. European Journal of Pharmacology. 149(1-2). 61–66. 93 indexed citations
10.
Suzuki, Yasuhíro, Mengqi Huang, K. Lederis, & O.P. Rorstad. (1988). The role of adenylate cyclase in relaxation of brain arteries: studies with forskolin. Brain Research. 457(2). 241–245. 14 indexed citations
11.
Lederis, K., et al.. (1988). Occurrence of an anterior spinal, cerebrospinal fluid-contacting, urotensin II neuronal system in various fish species. General and Comparative Endocrinology. 70(2). 301–311. 36 indexed citations
12.
13.
Gonzalez, G. C. & K. Lederis. (1988). Sauvagine-like and corticotropin-releasing factor-like immunoreactivity in the brain of the bullfrog (Rana catesbeiana). Cell and Tissue Research. 253(1). 29–37. 25 indexed citations
14.
Poulin, Paule, K. Lederis, & Quentin J. Pittman. (1988). Subcellular Localization and Characterization of Vasopressin Binding Sites in the Ventral Septal Area, Lateral Septum, and Hippocampus of the Rat Brain. Journal of Neurochemistry. 50(3). 889–898. 55 indexed citations
15.
Farner, Donald S. & K. Lederis. (1981). Neurosecretion : molecules, cells, systems. Plenum Press eBooks. 198 indexed citations
16.
Lederis, K. & Warren L. Veale. (1978). Current studies of hypothalamic function, 1978. S. Karger eBooks. 48 indexed citations
17.
Lederis, K., et al.. (1978). Metabolism and behaviour. KARGER eBooks. 2 indexed citations
18.
Mathison, Ronald & K. Lederis. (1976). The effect of cyclic nucleotides on vasopressin release from the isolated neural lobe of normal and dehydrated rats and the intact hypothalamo-neurohypophysial system.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 19. 457–60. 1 indexed citations
19.
Lederis, K., et al.. (1976). Effects of urotensin I on isolated blood vessels.. PubMed. 19. 461–5. 6 indexed citations
20.
Heller, Hans, et al.. (1971). Subcellular organization and function in endocrine tissues : proceedings of a symposium held at the University of Bristol on 5 to 11 April 1970. Cambridge University Press eBooks. 3 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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