Irina I. Stoyanova

777 total citations
32 papers, 630 citations indexed

About

Irina I. Stoyanova is a scholar working on Physiology, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Irina I. Stoyanova has authored 32 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 11 papers in Endocrine and Autonomic Systems and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Irina I. Stoyanova's work include Regulation of Appetite and Obesity (11 papers), Adipose Tissue and Metabolism (8 papers) and Biochemical Analysis and Sensing Techniques (8 papers). Irina I. Stoyanova is often cited by papers focused on Regulation of Appetite and Obesity (11 papers), Adipose Tissue and Metabolism (8 papers) and Biochemical Analysis and Sensing Techniques (8 papers). Irina I. Stoyanova collaborates with scholars based in Bulgaria, Netherlands and Germany. Irina I. Stoyanova's co-authors include Maya Gulubova, Joost le Feber, Nikolai Lazarov, Wim Rutten, Laurel M. Patterson, Rui Tian, Hans‐Rudolf Berthoud, Huiyuan Zheng, David Lutz and Michela Chiappalone and has published in prestigious journals such as Brain Research, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Neurobiology of Disease.

In The Last Decade

Irina I. Stoyanova

31 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irina I. Stoyanova Bulgaria 16 262 203 144 144 123 32 630
Gintautas Grabauskas United States 19 211 0.8× 213 1.0× 206 1.4× 114 0.8× 163 1.3× 36 830
Germán Calderón United States 6 168 0.6× 168 0.8× 205 1.4× 52 0.4× 64 0.5× 6 693
Eva Tsaousidou Germany 8 218 0.8× 174 0.9× 92 0.6× 65 0.5× 137 1.1× 9 662
Ai–Jun Li United States 18 554 2.1× 245 1.2× 202 1.4× 239 1.7× 135 1.1× 46 1.0k
Danièle Mazur France 8 306 1.2× 129 0.6× 83 0.6× 55 0.4× 68 0.6× 8 589
Alan C. Rupp United States 17 414 1.6× 209 1.0× 213 1.5× 85 0.6× 77 0.6× 27 789
Maike A. D. Brans Netherlands 16 332 1.3× 223 1.1× 91 0.6× 44 0.3× 164 1.3× 35 761
Shiro Nakamura Japan 15 113 0.4× 417 2.1× 154 1.1× 75 0.5× 82 0.7× 54 795
R. Curtis Rogers United States 15 272 1.0× 112 0.6× 258 1.8× 75 0.5× 104 0.8× 17 755
Hessameh Hassani Sweden 8 257 1.0× 172 0.8× 403 2.8× 45 0.3× 89 0.7× 8 694

Countries citing papers authored by Irina I. Stoyanova

Since Specialization
Citations

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

Fields of papers citing papers by Irina I. Stoyanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irina I. Stoyanova. 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 Irina I. Stoyanova. The network helps show where Irina I. Stoyanova may publish in the future.

Co-authorship network of co-authors of Irina I. Stoyanova

This figure shows the co-authorship network connecting the top 25 collaborators of Irina I. Stoyanova. A scholar is included among the top collaborators of Irina I. Stoyanova 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 Irina I. Stoyanova. Irina I. Stoyanova 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.
2.
Stoyanova, Irina I. & David Lutz. (2022). Functional Diversity of Neuronal Cell Adhesion and Recognition Molecule L1CAM through Proteolytic Cleavage. Cells. 11(19). 3085–3085. 13 indexed citations
3.
Stoyanova, Irina I. & David Lutz. (2021). Ghrelin-Mediated Regeneration and Plasticity After Nervous System Injury. Frontiers in Cell and Developmental Biology. 9. 595914–595914. 11 indexed citations
4.
Stoyanova, Irina I., et al.. (2015). Cognitive-Perception Selectivity and Regulation of Social Anxiety in Evaluation Situations. Izvestiya of Altai State University.
5.
Stoyanova, Irina I., Jeannette Hofmeijer, Michel J. A. M. van Putten, & Joost le Feber. (2015). Acyl Ghrelin Improves Synapse Recovery in an In Vitro Model of Postanoxic Encephalopathy. Molecular Neurobiology. 53(9). 6136–6143. 15 indexed citations
6.
Stoyanova, Irina I. & Joost le Feber. (2014). Ghrelin accelerates synapse formation and activity development in cultured cortical networks. BMC Neuroscience. 15(1). 49–49. 29 indexed citations
7.
Feber, Joost le, Irina I. Stoyanova, & Michela Chiappalone. (2014). Connectivity, excitability and activity patterns in neuronal networks. Physical Biology. 11(3). 36005–36005. 16 indexed citations
8.
Stoyanova, Irina I., Richard van Wezel, & Wim Rutten. (2013). In vivotesting of a 3D bifurcating microchannel scaffold inducing separation of regenerating axon bundles in peripheral nerves. Journal of Neural Engineering. 10(6). 66018–66018. 16 indexed citations
9.
Stoyanova, Irina I., et al.. (2009). Time-dependent changes in ghrelin-immunoreactivity in dissociated neuronal cultures of the newborn rat neocortex. Regulatory Peptides. 158(1-3). 86–90. 7 indexed citations
10.
Stoyanova, Irina I. & Nikolai Lazarov. (2005). Localization of orexin-A-immunoreactive fibers in the mesencephalic trigeminal nucleus of the rat. Brain Research. 1054(1). 82–87. 21 indexed citations
11.
Stoyanova, Irina I. & Nikolai Lazarov. (2005). Localization of nitric oxide synthase in rat trigeminal primary afferent neurons using NADPH-diaphorase histochemistry. The Histochemical Journal. 36(3). 187–193. 34 indexed citations
12.
Stoyanova, Irina I.. (2004). γ-Aminobutiric acid immunostaining in trigeminal, nodose and spinal ganglia of the cat. Acta Histochemica. 106(4). 309–314. 19 indexed citations
13.
Stoyanova, Irina I. & Maya Gulubova. (2002). Mast cells and inflammatory mediators in chronic ulcerative colitis. Acta Histochemica. 104(2). 185–192. 109 indexed citations
14.
Stoyanova, Irina I. & Maya Gulubova. (2000). Immunocytochemical study on the liver innervation in patients with cirrhosis. Acta Histochemica. 102(4). 391–402. 16 indexed citations
15.
16.
Lazarov, Nikolai, et al.. (1998). Calcium-Binding Proteins in the Mesencephalic Trigeminal Nucleus of the Cat. Archives of Physiology and Biochemistry. 106(5). 370–377. 5 indexed citations
17.
Stoyanova, Irina I. & Maya Gulubova. (1998). Peptidergic nerve fibres in the human liver. Acta Histochemica. 100(3). 245–256. 17 indexed citations
18.
Stoyanova, Irina I., et al.. (1998). GABA- And Glutamate-Immunoreactivity In Sensory Ganglia Of Cat: A Quantitative Analysis. Archives of Physiology and Biochemistry. 106(5). 362–369. 19 indexed citations
19.
Stoyanova, Irina I., et al.. (1997). Immunocytochemical localization of the neurons in the superior mesenteric ganglion innervating the small intestine of the cat. Annals of Anatomy - Anatomischer Anzeiger. 179(6). 517–523. 2 indexed citations
20.
Lazarov, Nikolai, et al.. (1990). Cytochemical localization of 5′-nucleotidase activity in the nodose ganglion of the rabbit. Acta Histochemica. 89(1). 75–80. 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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