Krisztian Kapinya

1.1k total citations
8 papers, 922 citations indexed

About

Krisztian Kapinya is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Krisztian Kapinya has authored 8 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Krisztian Kapinya's work include Anesthesia and Neurotoxicity Research (2 papers), Cardiac Ischemia and Reperfusion (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). Krisztian Kapinya is often cited by papers focused on Anesthesia and Neurotoxicity Research (2 papers), Cardiac Ischemia and Reperfusion (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). Krisztian Kapinya collaborates with scholars based in Germany, United States and France. Krisztian Kapinya's co-authors include Ulrich Dirnagl, Konstantin Prass, Karsten Ruscher, Andreas Meisel, Carsten Fütterer, Martin H. Maurer, Klaus F. Waschke, Н. К. Исаев, I. V. Victorov and Anna Zychlinsky Scharff and has published in prestigious journals such as Journal of Neuroscience, Stroke and Brain Research.

In The Last Decade

Krisztian Kapinya

8 papers receiving 904 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krisztian Kapinya Germany 7 261 255 237 184 168 8 922
George Trendelenburg Germany 12 184 0.7× 382 1.5× 161 0.7× 400 2.2× 196 1.2× 17 1.1k
Hiroji Yanamoto Japan 24 215 0.8× 358 1.4× 113 0.5× 283 1.5× 356 2.1× 45 1.5k
Masanori Iwai Japan 17 472 1.8× 385 1.5× 53 0.2× 305 1.7× 305 1.8× 45 1.3k
Marion N. Schölzke Germany 7 151 0.6× 349 1.4× 58 0.2× 217 1.2× 236 1.4× 7 951
Jon Dang Germany 16 400 1.5× 389 1.5× 279 1.2× 613 3.3× 157 0.9× 18 1.3k
Kohji Matsushita Japan 18 302 1.2× 603 2.4× 161 0.7× 483 2.6× 396 2.4× 25 1.7k
Gail Walkinshaw United States 19 121 0.5× 566 2.2× 181 0.8× 96 0.5× 334 2.0× 30 1.5k
Judith C. Fleming United States 17 72 0.3× 390 1.5× 492 2.1× 166 0.9× 226 1.3× 19 1.6k
Mir Ahamed Hossain United States 22 93 0.4× 629 2.5× 56 0.2× 106 0.6× 179 1.1× 41 1.2k

Countries citing papers authored by Krisztian Kapinya

Since Specialization
Citations

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

Fields of papers citing papers by Krisztian Kapinya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krisztian Kapinya

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

All Works

8 of 8 papers shown
1.
Kapinya, Krisztian, et al.. (2003). Improved Protocol for SAGE Tag-to-Gene Allocation. BioTechniques. 34(6). 1212–1219. 2 indexed citations
2.
Prass, Konstantin, Anna Zychlinsky Scharff, Karsten Ruscher, et al.. (2003). Hypoxia-Induced Stroke Tolerance in the Mouse Is Mediated by Erythropoietin. Stroke. 34(8). 1981–1986. 238 indexed citations
3.
Kapinya, Krisztian, Ulrike Harms, Christoph Harms, et al.. (2003). Role of NAD(P)H:quinone oxidoreductase in the progression of neuronal cell death in vitro and following cerebral ischaemia in vivo. Journal of Neurochemistry. 84(5). 1028–1039. 24 indexed citations
4.
Kapinya, Krisztian, Konstantin Prass, & Ulrich Dirnagl. (2002). Isoflurane induced prolonged protection against cerebral ischemia in mice: a redox sensitive mechanism?. Neuroreport. 13(11). 1431–1435. 58 indexed citations
5.
Kapinya, Krisztian, Carsten Fütterer, Martin H. Maurer, et al.. (2002). Tolerance Against Ischemic Neuronal Injury Can Be Induced by Volatile Anesthetics and Is Inducible NO Synthase Dependent. Stroke. 33(7). 1889–1898. 232 indexed citations
6.
Trendelenburg, George, Konstantin Prass, Josef Priller, et al.. (2002). Serial Analysis of Gene Expression Identifies Metallothionein-II as Major Neuroprotective Gene in Mouse Focal Cerebral Ischemia. Journal of Neuroscience. 22(14). 5879–5888. 157 indexed citations
7.
Harms, Christoph, Marion Lautenschlager, A Bergk, et al.. (2001). Differential Mechanisms of Neuroprotection by 17 β-Estradiol in Apoptotic versus Necrotic Neurodegeneration. Journal of Neuroscience. 21(8). 2600–2609. 134 indexed citations
8.
Prass, Konstantin, Frank Wiegand, Pascale Schumann, et al.. (2000). Hyperbaric oxygenation induced tolerance against focal cerebral ischemia in mice is strain dependent. Brain Research. 871(1). 146–150. 77 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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