A. Semke

1.2k total citations
87 papers, 811 citations indexed

About

A. Semke is a scholar working on Psychiatry and Mental health, Biological Psychiatry and Molecular Biology. According to data from OpenAlex, A. Semke has authored 87 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Psychiatry and Mental health, 25 papers in Biological Psychiatry and 22 papers in Molecular Biology. Recurrent topics in A. Semke's work include Schizophrenia research and treatment (27 papers), Tryptophan and brain disorders (25 papers) and Bipolar Disorder and Treatment (16 papers). A. Semke is often cited by papers focused on Schizophrenia research and treatment (27 papers), Tryptophan and brain disorders (25 papers) and Bipolar Disorder and Treatment (16 papers). A. Semke collaborates with scholars based in Russia, Netherlands and Australia. A. Semke's co-authors include Svetlana А. Ivanova, Н. А. Бохан, A.J.M. Loonen, Elena G. Kornetova, Olga Fedorenko, Anastasiia S. Boiko, Irina A. Mednova, Bob Wilffert, L. Smirnova and Ivan V. Pozhidaev and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Obesity.

In The Last Decade

A. Semke

78 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Semke Russia 17 311 195 194 138 125 87 811
I‐Ching Lai Taiwan 21 348 1.1× 267 1.4× 70 0.4× 211 1.5× 209 1.7× 37 881
Olga Fedorenko Russia 17 232 0.7× 333 1.7× 74 0.4× 118 0.9× 176 1.4× 64 877
Bonnie A. Fijal United States 18 231 0.7× 323 1.7× 70 0.4× 133 1.0× 122 1.0× 35 1.0k
Elena G. Kornetova Russia 14 201 0.6× 114 0.6× 127 0.7× 58 0.4× 63 0.5× 77 502
Silky Pahlajani United States 12 97 0.3× 105 0.5× 103 0.5× 149 1.1× 100 0.8× 23 732
Se Hyun Kim South Korea 19 518 1.7× 313 1.6× 132 0.7× 91 0.7× 133 1.1× 76 1.0k
Kumiko Fujii Japan 16 261 0.8× 577 3.0× 95 0.5× 245 1.8× 208 1.7× 49 1.2k
Yi‐Ching Liu Taiwan 13 277 0.9× 248 1.3× 253 1.3× 71 0.5× 378 3.0× 39 930
Niufan Gu China 23 428 1.4× 443 2.3× 149 0.8× 276 2.0× 271 2.2× 43 1.1k
Anastasiia S. Boiko Russia 15 172 0.6× 119 0.6× 150 0.8× 54 0.4× 77 0.6× 68 596

Countries citing papers authored by A. Semke

Since Specialization
Citations

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

Fields of papers citing papers by A. Semke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Semke

This figure shows the co-authorship network connecting the top 25 collaborators of A. Semke. A scholar is included among the top collaborators of A. Semke 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 A. Semke. A. Semke 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.
Boiko, Anastasiia S., Irina A. Mednova, Elena G. Kornetova, et al.. (2023). Cell Adhesion Molecules in Schizophrenia Patients with Metabolic Syndrome. Metabolites. 13(3). 376–376. 6 indexed citations
2.
Kornetova, Elena G., Maxim B. Freidin, Ivan V. Pozhidaev, et al.. (2023). The Role of Glutamatergic Gene Polymorphisms in the Clinical Phenotypes of Schizophrenia. Genes. 14(3). 575–575. 4 indexed citations
3.
Mednova, Irina A., et al.. (2022). Immunoglobulins G of Patients with Schizophrenia Protects from Superoxide: Pilot Results. Journal of Personalized Medicine. 12(9). 1449–1449. 5 indexed citations
4.
Boiko, Anastasiia S., Ivan V. Pozhidaev, Irina A. Mednova, et al.. (2022). Gene Polymorphisms of Hormonal Regulators of Metabolism in Patients with Schizophrenia with Metabolic Syndrome. Genes. 13(5). 844–844. 5 indexed citations
5.
Boiko, Anastasiia S., Irina A. Mednova, Elena G. Kornetova, et al.. (2022). Metabolic Hormones in Schizophrenia Patients with Antipsychotic-Induced Metabolic Syndrome. Journal of Personalized Medicine. 12(10). 1655–1655. 5 indexed citations
6.
Mednova, Irina A., Alexander А. Chernonosov, Elena G. Kornetova, et al.. (2022). Levels of Acylcarnitines and Branched-Chain Amino Acids in Antipsychotic-Treated Patients with Paranoid Schizophrenia with Metabolic Syndrome. Metabolites. 12(9). 850–850. 7 indexed citations
7.
Boiko, Anastasiia S., Ivan V. Pozhidaev, Irina A. Mednova, et al.. (2022). The Gender-Specific Association of DRD2 Polymorphism with Metabolic Syndrome in Patients with Schizophrenia. Genes. 13(8). 1312–1312. 7 indexed citations
8.
Mednova, Irina A., Alexander А. Chernonosov, Elena G. Kornetova, et al.. (2021). Amino Acid and Acylcarnitine Levels in Chronic Patients with Schizophrenia: A Preliminary Study. Metabolites. 11(1). 34–34. 16 indexed citations
9.
Boiko, Anastasiia S., Ivan V. Pozhidaev, А. В. Бочарова, et al.. (2021). Search for Possible Associations of FTO Gene Polymorphic Variants with Metabolic Syndrome, Obesity and Body Mass Index in Schizophrenia Patients. Pharmacogenomics and Personalized Medicine. Volume 14. 1123–1131. 11 indexed citations
10.
Boiko, Anastasiia S., Ivan V. Pozhidaev, А. В. Бочарова, et al.. (2021). Genetic Polymorphisms of 5-HT Receptors and Antipsychotic-Induced Metabolic Dysfunction in Patients with Schizophrenia. Journal of Personalized Medicine. 11(3). 181–181. 12 indexed citations
11.
Boiko, Anastasiia S., Irina A. Mednova, Elena G. Kornetova, et al.. (2020). <p>Cortisol and DHEAS Related to Metabolic Syndrome in Patients with Schizophrenia</p>. Neuropsychiatric Disease and Treatment. Volume 16. 1051–1058. 14 indexed citations
12.
Smirnova, L., et al.. (2020). Igg‐Dependent Hydrolysis of Myelin Basic Protein of Patients with Different Courses of Schizophrenia. Journal of Immunology Research. 2020(1). 8986521–8986521. 11 indexed citations
13.
Mednova, Irina A., Anastasiia S. Boiko, Elena G. Kornetova, et al.. (2020). Adipocytokines and Metabolic Syndrome in Patients with Schizophrenia. Metabolites. 10(10). 410–410. 25 indexed citations
14.
Pozhidaev, Ivan V., Anastasiia S. Boiko, A.J.M. Loonen, et al.. (2020). <p>Association of Cholinergic Muscarinic M4 Receptor Gene Polymorphism with Schizophrenia</p>. The Application of Clinical Genetics. Volume 13. 97–105. 11 indexed citations
15.
16.
Kornetova, Elena G., Irina A. Mednova, A. Semke, et al.. (2020). Body Fat Parameters, Glucose and Lipid Profiles, and Thyroid Hormone Levels in Schizophrenia Patients with or without Metabolic Syndrome. Diagnostics. 10(9). 683–683. 14 indexed citations
17.
Kornetova, Elena G., et al.. (2019). Sexual differences in the clinical features of antipsychotic-induced hyperprolactinemia in patients with schizophrenia. SHILAP Revista de lepidopterología. 18(3). 62–71. 1 indexed citations
18.
Kornetova, Elena G., et al.. (2019). Brain pathology in schizophrenia: association with clinical and constitutional factors. Yakut Medical Journal. 17–21. 1 indexed citations
19.
Kornetova, Elena G., et al.. (2018). Morphophenotypic predictor of the development of visceral obesity in patients with schizophrenia receiving antipsychotic therapy. Bulletin of Siberian Medicine. 17(4). 54–64. 6 indexed citations
20.

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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