G. Konat�

2.5k total citations
111 papers, 1.9k citations indexed

About

G. Konat� is a scholar working on Molecular Biology, Physiology and Developmental Neuroscience. According to data from OpenAlex, G. Konat� has authored 111 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 23 papers in Physiology and 23 papers in Developmental Neuroscience. Recurrent topics in G. Konat�'s work include Neurogenesis and neuroplasticity mechanisms (23 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers) and Biochemical effects in animals (13 papers). G. Konat� is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (23 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers) and Biochemical effects in animals (13 papers). G. Konat� collaborates with scholars based in United States, Denmark and Israel. G. Konat�'s co-authors include Halina Offner, Richard C. Wiggins, Roger C. Wiggins, Michał Kraszpulski, J. Clausen, Joyce E. Royland, Daniel Fil, Tammy Kielian, Ian Marriott and Jame Abraham and has published in prestigious journals such as Brain Research, Journal of Neurochemistry and The American Journal of Cardiology.

In The Last Decade

G. Konat�

110 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Konat� United States 22 643 390 373 285 275 111 1.9k
Olaf Maier Netherlands 25 932 1.4× 425 1.1× 426 1.1× 346 1.2× 263 1.0× 34 2.2k
Shigeki Tsutsui Canada 24 889 1.4× 566 1.5× 322 0.9× 457 1.6× 324 1.2× 40 2.1k
Anthony K. F. Liou United States 23 1.1k 1.8× 603 1.5× 339 0.9× 245 0.9× 361 1.3× 27 2.3k
S. Priya Narayanan United States 23 1.1k 1.7× 378 1.0× 324 0.9× 368 1.3× 241 0.9× 47 2.4k
Fabìola Puentes United Kingdom 14 672 1.0× 626 1.6× 601 1.6× 304 1.1× 197 0.7× 26 2.1k
Agustina Garcı́a Spain 27 887 1.4× 575 1.5× 319 0.9× 861 3.0× 575 2.1× 72 2.4k
Kelly L. Jordan‐Sciutto United States 31 1.5k 2.3× 549 1.4× 237 0.6× 518 1.8× 470 1.7× 85 3.1k
Rosemary M. Gibson United Kingdom 16 749 1.2× 538 1.4× 327 0.9× 216 0.8× 375 1.4× 23 2.1k
Carme Pelegrı́ Spain 30 703 1.1× 406 1.0× 283 0.8× 739 2.6× 396 1.4× 63 2.3k
Masaru Yamamoto Japan 19 534 0.8× 577 1.5× 271 0.7× 615 2.2× 320 1.2× 63 1.9k

Countries citing papers authored by G. Konat�

Since Specialization
Citations

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

Fields of papers citing papers by G. Konat�

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Konat�. 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 G. Konat�. The network helps show where G. Konat� may publish in the future.

Co-authorship network of co-authors of G. Konat�

This figure shows the co-authorship network connecting the top 25 collaborators of G. Konat�. A scholar is included among the top collaborators of G. Konat� 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 G. Konat�. G. Konat� 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.
Konat�, G.. (2024). Neuroplasticity elicited by peripheral immune challenge with a viral mimetic. Brain Research. 1846. 149239–149239.
2.
Konat�, G., et al.. (2021). Peripheral viral challenge increases c-fos level in cerebral neurons. Metabolic Brain Disease. 36(7). 1995–2002. 2 indexed citations
3.
Dod, Harvinder S., Manjinder S. Sandhu, G. Konat�, et al.. (2018). Acute effects of diets rich in almonds and walnuts on endothelial function. Indian Heart Journal. 70(4). 497–501. 23 indexed citations
4.
Konat�, G., et al.. (2012). TLR3 ligation protects human astrocytes against oxidative stress. Journal of Neuroimmunology. 255(1-2). 54–59. 8 indexed citations
5.
Konat�, G., et al.. (2011). Peripheral immune challenge with viral mimic during early postnatal period robustly enhances anxiety-like behavior in young adult rats. Metabolic Brain Disease. 26(3). 237–240. 18 indexed citations
6.
Konat�, G., et al.. (2010). Dietary cholesterol impairs memory and memory increases brain cholesterol and sulfatide levels.. Behavioral Neuroscience. 124(1). 115–123. 14 indexed citations
7.
Dod, Harvinder S., Gerdi Weidner, Gerald R. Hobbs, et al.. (2010). Effect of Intensive Lifestyle Changes on Endothelial Function and on Inflammatory Markers of Atherosclerosis. The American Journal of Cardiology. 105(3). 362–367. 92 indexed citations
8.
Fil, Daniel, et al.. (2009). Phosphodiesterase 4B2 gene is an effector of Toll-like receptor signaling in astrocytes. Metabolic Brain Disease. 24(3). 481–491. 6 indexed citations
9.
Kraszpulski, Michał, et al.. (2006). Kinetics of inflammatory response of astrocytes induced by TLR 3 and TLR4 ligation. Journal of Neuroscience Research. 85(1). 205–212. 77 indexed citations
10.
Konat�, G., et al.. (2003). Toxicity of Compound A to C6 Rat Glioma Cells. Metabolic Brain Disease. 18(1). 11–15. 1 indexed citations
11.
Konat�, G., et al.. (1999). Delayed oligodendrocyte degeneration induced by brief exposure to hydrogen peroxide. Journal of Neuroscience Research. 55(3). 303–310. 19 indexed citations
12.
Royland, Joyce E., G. Konat�, & Roger C. Wiggins. (1993). Abnormal upregulation of myelin genes underlies the critical period of myelination in undernourished developing rat brain. Brain Research. 607(1-2). 113–116. 20 indexed citations
13.
Zhu, Wei, et al.. (1992). Retinoic acid‐regulated expression of proteolipid protein and myelin‐associated glycoprotein genes in C6 glioma cells. Journal of Neuroscience Research. 31(4). 745–750. 24 indexed citations
14.
Kanoh, Makoto, et al.. (1992). Cyclic AMP‐induced upregulation of proteolipid protein and myelin associated glycoprotein gene expression in C6 cells. Journal of Neuroscience Research. 31(3). 578–583. 42 indexed citations
15.
Konat�, G., et al.. (1988). Expression of myelin protein genes in quaking mouse brain. Journal of Neuroscience Research. 20(1). 19–22. 18 indexed citations
16.
Konat�, G., et al.. (1987). Increased turnover of myelin proteolipid protein in quaking mouse brain. Metabolic Brain Disease. 2(2). 113–116. 3 indexed citations
17.
Konat�, G., et al.. (1986). Peroxidative aggregation of myelin membrane proteins. Metabolic Brain Disease. 1(3). 177–185. 6 indexed citations
18.
Konat�, G., et al.. (1986). Synthesis and acylation of myelin proteolipid protein in quaking mouse brain. Metabolic Brain Disease. 1(4). 241–247. 6 indexed citations
19.
Konat�, G. & Halina Offner. (1982). Effect of serum on the isolated CNS myelin membrane☆. Neurochemistry International. 4(2-3). 143–147. 7 indexed citations
20.
Offner, Halina, et al.. (1977). Lymphocyte stimulation in multiple sclerosis patients untreated and treated with transfer factor. Long-term studies on the effect of different stimulants on myo-(2-3H)inositol incorporation into phosphatidylinositol of lymphocytes.. PubMed. 56(6). 465–74. 4 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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