Maxim Krikov

1.1k total citations
10 papers, 913 citations indexed

About

Maxim Krikov is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Neurology. According to data from OpenAlex, Maxim Krikov has authored 10 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Neurology. Recurrent topics in Maxim Krikov's work include Renin-Angiotensin System Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Adipose Tissue and Metabolism (2 papers). Maxim Krikov is often cited by papers focused on Renin-Angiotensin System Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Adipose Tissue and Metabolism (2 papers). Maxim Krikov collaborates with scholars based in Germany, Sweden and United States. Maxim Krikov's co-authors include Thomas Unger, Christa Thöne‐Reineke, Ulrich Kintscher, C Sprang, Anna Foryst‐Ludwig, Markus Clemenz, Arno Villringer, R. Clasen, Michael Schupp and Susanne Müller and has published in prestigious journals such as PLoS ONE, Brain Research and Hypertension.

In The Last Decade

Maxim Krikov

10 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim Krikov Germany 10 337 278 229 229 175 10 913
T. Gautam United States 11 476 1.4× 369 1.3× 164 0.7× 193 0.8× 100 0.6× 16 1.3k
Lora C. Bailey‐Downs United States 14 371 1.1× 566 2.0× 167 0.7× 145 0.6× 134 0.8× 26 1.4k
Jiangning Yang Sweden 21 541 1.6× 332 1.2× 229 1.0× 116 0.5× 71 0.4× 38 1.3k
Agnieszka Adamska Poland 23 379 1.1× 367 1.3× 153 0.7× 254 1.1× 234 1.3× 73 1.2k
Monika Karczewska‐Kupczewska Poland 23 459 1.4× 507 1.8× 173 0.8× 339 1.5× 165 0.9× 56 1.4k
Lindsey B. Gano United States 10 569 1.7× 338 1.2× 296 1.3× 135 0.6× 92 0.5× 14 1.3k
Aracelie Rivera United States 12 500 1.5× 461 1.7× 222 1.0× 167 0.7× 68 0.4× 15 1.5k
Byung Yong Rhim South Korea 21 330 1.0× 421 1.5× 174 0.8× 141 0.6× 83 0.5× 37 1.2k
N. Sakamoto Japan 20 273 0.8× 252 0.9× 138 0.6× 189 0.8× 229 1.3× 60 1.2k
Victor V. Lima Brazil 24 266 0.8× 561 2.0× 206 0.9× 84 0.4× 270 1.5× 62 1.4k

Countries citing papers authored by Maxim Krikov

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Krikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Krikov

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

All Works

10 of 10 papers shown
1.
Thöne‐Reineke, Christa, Maxim Krikov, Michael Godes, et al.. (2011). Prevention and Intervention Studies with Telmisartan, Ramipril and Their Combination in Different Rat Stroke Models. PLoS ONE. 6(8). e23646–e23646. 31 indexed citations
3.
Kaschina, Elena, et al.. (2008). Telmisartan prevents aneurysm progression in the rat by inhibiting proteolysis, apoptosis and inflammation. Journal of Hypertension. 26(12). 2361–2373. 52 indexed citations
4.
Thöne‐Reineke, Christa, Christian Neumann, Pawel Namsolleck, et al.. (2008). The β-lactam antibiotic, ceftriaxone, dramatically improves survival, increases glutamate uptake and induces neurotrophins in stroke. Journal of Hypertension. 26(12). 2426–2435. 90 indexed citations
5.
Krikov, Maxim, Christa Thöne‐Reineke, Susanne Müller, Arno Villringer, & Thomas Unger. (2008). Candesartan but not ramipril pretreatment improves outcome after stroke and stimulates neurotrophin BNDF/TrkB system in rats. Journal of Hypertension. 26(3). 544–552. 73 indexed citations
6.
Foryst‐Ludwig, Anna, Markus Clemenz, Stephan Hohmann, et al.. (2008). Metabolic Actions of Estrogen Receptor Beta (ERβ) are Mediated by a Negative Cross-Talk with PPARγ. PLoS Genetics. 4(6). e1000108–e1000108. 237 indexed citations
7.
Schefe, Jan H., Maxim Krikov, Susanne Müller, et al.. (2008). Comparison between single and combined treatment with candesartan and pioglitazone following transient focal ischemia in rat brain. Brain Research. 1208. 225–233. 36 indexed citations
8.
Clasen, R., Michael Schupp, Anna Foryst‐Ludwig, et al.. (2005). PPARγ-Activating Angiotensin Type-1 Receptor Blockers Induce Adiponectin. Hypertension. 46(1). 137–143. 230 indexed citations
9.
Tanneur, Valérie, Christophe Duranton, Srinivas Nammi, et al.. (2004). Enhanced susceptibility to erythrocyte ?apoptosis? following phosphate depletion. Pflügers Archiv - European Journal of Physiology. 448(5). 471–7. 122 indexed citations
10.
Thöne‐Reineke, Christa, Mathias Zimmermann, Christian Neumann, et al.. (2004). Are angiotensin receptor blockers neuroprotective?. Current Hypertension Reports. 6(4). 257–266. 32 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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