Tiina P. Iismaa

2.2k total citations
44 papers, 1.8k citations indexed

About

Tiina P. Iismaa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Tiina P. Iismaa has authored 44 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 32 papers in Cellular and Molecular Neuroscience and 13 papers in Surgery. Recurrent topics in Tiina P. Iismaa's work include Neuropeptides and Animal Physiology (30 papers), Receptor Mechanisms and Signaling (24 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers). Tiina P. Iismaa is often cited by papers focused on Neuropeptides and Animal Physiology (30 papers), Receptor Mechanisms and Signaling (24 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers). Tiina P. Iismaa collaborates with scholars based in Australia, United States and United Kingdom. Tiina P. Iismaa's co-authors include John Shine, Arie S. Jacoby, Trevor J. Biden, Jacqueline N. Crawley, Zahra Fathi, Yvonne Hort, R.G. Wake, Lawrence G. Iben, Kerry A. Nichol and Anne M. Cunningham and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Journal of Molecular Biology.

In The Last Decade

Tiina P. Iismaa

44 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiina P. Iismaa Australia 26 1.2k 995 411 239 184 44 1.8k
Delphine Burel France 12 1.0k 0.9× 578 0.6× 204 0.5× 133 0.6× 203 1.1× 16 1.5k
Daniel García‐Ovejero Spain 24 686 0.6× 394 0.4× 182 0.4× 309 1.3× 290 1.6× 46 2.3k
Willhart Knepel Germany 26 355 0.3× 651 0.7× 410 1.0× 211 0.9× 289 1.6× 58 1.5k
P. Giraud France 24 907 0.8× 716 0.7× 154 0.4× 78 0.3× 288 1.6× 68 1.4k
Istvàn Lengvári Hungary 26 1.2k 1.1× 705 0.7× 285 0.7× 42 0.2× 149 0.8× 68 1.9k
Marı́a Claudia González Deniselle Argentina 30 768 0.7× 546 0.5× 119 0.3× 473 2.0× 468 2.5× 74 2.9k
Gordon W. Glazner United States 26 1.1k 0.9× 752 0.8× 148 0.4× 109 0.5× 127 0.7× 44 2.1k
Å. Dagerlind Sweden 23 1.1k 1.0× 699 0.7× 155 0.4× 46 0.2× 113 0.6× 47 1.7k
Fiona E. Holmes United Kingdom 20 1.3k 1.1× 941 0.9× 297 0.7× 41 0.2× 79 0.4× 37 1.8k
Kayoko Tateishi Japan 20 1.0k 0.9× 752 0.8× 314 0.8× 42 0.2× 144 0.8× 67 1.6k

Countries citing papers authored by Tiina P. Iismaa

Since Specialization
Citations

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

Fields of papers citing papers by Tiina P. Iismaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiina P. Iismaa. 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 Tiina P. Iismaa. The network helps show where Tiina P. Iismaa may publish in the future.

Co-authorship network of co-authors of Tiina P. Iismaa

This figure shows the co-authorship network connecting the top 25 collaborators of Tiina P. Iismaa. A scholar is included among the top collaborators of Tiina P. Iismaa 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 Tiina P. Iismaa. Tiina P. Iismaa 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.
Wrenn, Craige C., Jefferson W. Kinney, Lisa K. Marriott, et al.. (2004). Learning and memory performance in mice lacking the GAL‐R1 subtype of galanin receptor. European Journal of Neuroscience. 19(5). 1384–1396. 67 indexed citations
2.
Iismaa, Tiina P., et al.. (2003). Galanin and neuropeptide Y reduce cholinergic transmission in the heart of the anaesthetised mouse. British Journal of Pharmacology. 140(1). 170–178. 37 indexed citations
3.
Jacoby, Arie S., et al.. (2003). Flexor reflex excitability in mice lacking galanin receptor galanin-R1. Neuroscience Letters. 345(3). 153–156. 19 indexed citations
4.
Holmes, Andrew, Jefferson W. Kinney, Craige C. Wrenn, et al.. (2003). Galanin GAL-R1 Receptor Null Mutant Mice Display Increased Anxiety-Like Behavior Specific to the Elevated Plus-Maze. Neuropsychopharmacology. 28(6). 1031–1044. 168 indexed citations
5.
6.
McPherson, Stephen J., Hong Wang, Margaret E. E. Jones, et al.. (2001). Elevated Androgens and Prolactin in Aromatase-Deficient Mice Cause Enlargement, But Not Malignancy, of the Prostate Gland*. Endocrinology. 142(6). 2458–2467. 132 indexed citations
7.
Crawford, Joanna, Yvonne Hort, John Shine, & Tiina P. Iismaa. (1999). Human GALR1 Galanin Receptor (GALNR1) Map Position 18q23. Chromosome Research. 7(3). 243–243. 1 indexed citations
8.
Depczynski, Barbara, et al.. (1998). Distribution and Characterization of the Cell Types Expressing GALR2 mRNA in Brain and Pituitary Gland. Annals of the New York Academy of Sciences. 863(1). 120–128. 42 indexed citations
9.
Pilmane, Māra, John Shine, & Tiina P. Iismaa. (1998). Distribution of Galanin Immunoreactivity in the Bronchi of Humans with Tuberculosis. Annals of the New York Academy of Sciences. 863(1). 445–449. 9 indexed citations
10.
Fathi, Zahra, Lawrence G. Iben, Hui Li, et al.. (1998). Molecular characterization, pharmacological properties and chromosomal localization of the human GALR2 galanin receptor. Molecular Brain Research. 58(1-2). 156–169. 73 indexed citations
11.
Jacoby, Arie S., Graham C. Webb, Barbara Kofler, et al.. (1997). Structural Organization of the Mouse and Human GALR1 Galanin Receptor Genes (GalnrandGALNR) and Chromosomal Localization of the Mouse Gene. Genomics. 45(3). 496–508. 31 indexed citations
12.
Kofler, Barbara, et al.. (1995). Characterization of the 5′-Flanking Region of the Human Preprogalanin Gene. DNA and Cell Biology. 14(4). 321–329. 34 indexed citations
13.
Morris, Michael B., et al.. (1995). Structural and Biochemical Studies of Human Galanin: NMR Evidence for Nascent Helical Structures in Aqueous Solution. Biochemistry. 34(14). 4538–4545. 25 indexed citations
14.
Kofler, Barbara, et al.. (1995). Assignment of the Gene Encoding Human Galanin Receptor (GALNR) to 18q23 by in Situ Hybridization. Genomics. 30(3). 629–630. 19 indexed citations
15.
16.
Carey, D., Tiina P. Iismaa, K. Ho, et al.. (1993). Potent effects of human galanin in man: growth hormone secretion and vagal blockade.. The Journal of Clinical Endocrinology & Metabolism. 77(1). 90–93. 51 indexed citations
17.
Iismaa, Tiina P., et al.. (1992). Effects of human, rat and porcine galanins on cardiac vagal action and blood pressure in the anaesthetised cat. Neuroscience Letters. 136(1). 105–108. 16 indexed citations
18.
Bolin, Laurel M., Tiina P. Iismaa, & Eric M. Shooter. (1992). Isolation of activated adult schwann cells and a spontaneously immortal schwann cell clone. Journal of Neuroscience Research. 33(2). 231–238. 49 indexed citations
19.
Iismaa, Tiina P., et al.. (1988). Relocation of the replication terminus, terC, of Bacillus subtilis to a new chromosomal site. Gene. 67(2). 183–191. 5 indexed citations
20.
Iismaa, Tiina P. & R.G. Wake. (1987). The normal replication terminus of the Bacillus subtilis chromosome, terC, is dispensable for vegetative growth and sporulation. Journal of Molecular Biology. 195(2). 299–310. 29 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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