Yelena Glinka

3.5k total citations
30 papers, 2.8k citations indexed

About

Yelena Glinka is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yelena Glinka has authored 30 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yelena Glinka's work include Lymphatic System and Diseases (5 papers), Axon Guidance and Neuronal Signaling (5 papers) and Angiogenesis and VEGF in Cancer (5 papers). Yelena Glinka is often cited by papers focused on Lymphatic System and Diseases (5 papers), Axon Guidance and Neuronal Signaling (5 papers) and Angiogenesis and VEGF in Cancer (5 papers). Yelena Glinka collaborates with scholars based in Canada, Israel and China. Yelena Glinka's co-authors include Gérald J. Prud’homme, Moussa B. H. Youdim, Michael Gassen, Dorit Ben‐Shachar, Keith F. Tipton, Qinghua Wang, Amir Sada Khan, Ruxandra Draghia‐Akli, Serge Jothy and Venkateswaran Subramaniam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Yelena Glinka

30 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yelena Glinka Canada	22	1.2k	854	600	356	332	30	2.8k
José Segovia Mexico	34	1.5k 1.3×	1.1k 1.3×	387 0.6×	152 0.4×	308 0.9×	118	3.4k
Axel Methner Germany	37	2.4k 2.0×	914 1.1×	411 0.7×	330 0.9×	446 1.3×	87	4.4k
Kazutoshi Kiuchi Japan	33	1.8k 1.6×	1.6k 1.8×	432 0.7×	152 0.4×	489 1.5×	127	3.8k
Guey‐Jen Lee‐Chen Taiwan	29	1.4k 1.2×	839 1.0×	710 1.2×	179 0.5×	569 1.7×	136	2.9k
Yasuhide Mitsumoto Japan	34	1.4k 1.2×	632 0.7×	274 0.5×	168 0.5×	418 1.3×	89	3.0k
Beatriz Pardo Spain	30	1.6k 1.4×	986 1.2×	409 0.7×	183 0.5×	495 1.5×	87	2.9k
Young Ho Suh South Korea	34	1.5k 1.3×	798 0.9×	186 0.3×	188 0.5×	577 1.7×	77	2.8k
Seong-Woon Yu South Korea	20	2.1k 1.8×	534 0.6×	405 0.7×	855 2.4×	343 1.0×	25	3.6k
Amalia M. Dolga Netherlands	36	2.1k 1.8×	825 1.0×	369 0.6×	183 0.5×	629 1.9×	121	3.8k

Countries citing papers authored by Yelena Glinka

Since Specialization

Citations

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

Fields of papers citing papers by Yelena Glinka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yelena Glinka

This figure shows the co-authorship network connecting the top 25 collaborators of Yelena Glinka. A scholar is included among the top collaborators of Yelena Glinka 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 Yelena Glinka. Yelena Glinka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Glinka, Yelena, et al.. (2023). Antiaging Klotho Protein as a Prospective Novel Tumor Suppressor. Annals of the Russian academy of medical sciences. 78(1). 24–44. 2 indexed citations

Tyurenkov, I. N., et al.. (2021). Klotho Protein and Cardio-Vascular System. Biochemistry (Moscow). 86(2). 132–145. 25 indexed citations

Prud’homme, Gérald J., et al.. (2020). Systemic Klotho therapy protects against insulitis and enhances beta-cell mass in NOD mice. Biochemical and Biophysical Research Communications. 525(3). 693–698. 14 indexed citations

Prud’homme, Gérald J., et al.. (2017). The anti-aging protein Klotho is induced by GABA therapy and exerts protective and stimulatory effects on pancreatic beta cells. Biochemical and Biophysical Research Communications. 493(4). 1542–1547. 44 indexed citations

Prud’homme, Gérald J., Yelena Glinka, & Qinghua Wang. (2015). Immunological GABAergic interactions and therapeutic applications in autoimmune diseases. Autoimmunity Reviews. 14(11). 1048–1056. 78 indexed citations

Prud’homme, Gérald J., et al.. (2014). GABA protects pancreatic beta cells against apoptosis by increasing SIRT1 expression and activity. Biochemical and Biophysical Research Communications. 452(3). 649–654. 40 indexed citations

Glinka, Yelena, et al.. (2012). Neuropilin-1 is expressed by breast cancer stem-like cells and is linked to NF-κB activation and tumor sphere formation. Biochemical and Biophysical Research Communications. 425(4). 775–780. 55 indexed citations

Glinka, Yelena, et al.. (2011). Immunity against a therapeutic xenoprotein/Fc construct delivered by gene transfer is reduced through binding to the inhibitory receptor FcγRIIb. The Journal of Gene Medicine. 13(9). 470–477. 3 indexed citations

Prud’homme, Gérald J., et al.. (2010). Breast Cancer Stem-Like Cells Are Inhibited by a Non-Toxic Aryl Hydrocarbon Receptor Agonist. PLoS ONE. 5(11). e13831–e13831. 121 indexed citations

10.

Glinka, Yelena & Gérald J. Prud’homme. (2008). Neuropilin-1 is a receptor for transforming growth factor β-1, activates its latent form, and promotes regulatory T cell activity. Journal of Leukocyte Biology. 84(1). 302–310. 202 indexed citations

11.

Soltani, Nepton, et al.. (2007). In vivo expression of GLP-1/IgG-Fc fusion protein enhances beta-cell mass and protects against streptozotocin-induced diabetes. Gene Therapy. 14(12). 981–988. 54 indexed citations

12.

Kumar, M. Sunil, et al.. (2006). Gene therapy of diabetes using a novel GLP-1/IgG1-Fc fusion construct normalizes glucose levels in db/db mice. Gene Therapy. 14(2). 162–172. 56 indexed citations

13.

Glinka, Yelena, Yigang Chang, & Gérald J. Prud’homme. (2006). Protective Regulatory T Cell Generation in Autoimmune Diabetes by DNA Covaccination with Islet Antigens and a Selective CTLA-4 Ligand. Molecular Therapy. 14(4). 578–587. 22 indexed citations

14.

Montezinho, Liliana P., Carlos B. Duarte, Carla P. Fonseca, et al.. (2004). Intracellular lithium and cyclic AMP levels are mutually regulated in neuronal cells. Journal of Neurochemistry. 90(4). 920–930. 15 indexed citations

15.

Glinka, Yelena, et al.. (2003). Regulatory cytokine production stimulated by DNA vaccination against an altered form of glutamic acid decarboxylase 65 in nonobese diabetic mice. Journal of Molecular Medicine. 81(3). 175–184. 9 indexed citations

16.

Glinka, Yelena, Michael Gassen, & Moussa B. H. Youdim. (1997). Mechanism of 6-hydroxydopamine neurotoxicity. Journal of neural transmission. Supplementum. 50. 55–66. 292 indexed citations

17.

Glinka, Yelena, Keith F. Tipton, & Moussa B. H. Youdim. (1996). Nature of Inhibition of Mitochondrial Respiratory Complex I by 6‐Hydroxydopamine. Journal of Neurochemistry. 66(5). 2004–2010. 141 indexed citations

18.

Shoham, S., et al.. (1996). Brain iron: function and dysfunction in relation to cognitive processes.. 205–217. 7 indexed citations

19.

Gassen, Michael, et al.. (1996). Apomorphine is a highly potent free radical scavenger in rat brain mitochondrial fraction. European Journal of Pharmacology. 308(2). 219–225. 124 indexed citations

20.

Glinka, Yelena & Moussa B. H. Youdim. (1995). Inhibition of mitochondrial complexes I and IV by 6-hydroxydopamine. European Journal of Pharmacology Environmental Toxicology and Pharmacology. 292(3-4). 329–332. 227 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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