A. Ischenko

2.0k total citations
50 papers, 1.6k citations indexed

About

A. Ischenko is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, A. Ischenko has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 15 papers in Molecular Biology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in A. Ischenko's work include Complement system in diseases (14 papers), Heat shock proteins research (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). A. Ischenko is often cited by papers focused on Complement system in diseases (14 papers), Heat shock proteins research (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). A. Ischenko collaborates with scholars based in Russia, France and United States. A. Ischenko's co-authors include Marc Fontaine, Philippe Gasque, Philippe Chan, Tiphaine Monsinjon, Maxim Shevtsov, A. Zhakhov, Jennifer J. Brady, C. Mauger, А. В. Добродумов and B. P. Nikolaev and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

A. Ischenko

47 papers receiving 1.6k 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. Ischenko Russia 23 835 503 397 187 157 50 1.6k
Tracey Sciuto United States 15 585 0.7× 710 1.4× 124 0.3× 124 0.7× 52 0.3× 22 1.8k
Catherine Cannon United States 5 833 1.0× 618 1.2× 673 1.7× 117 0.6× 41 0.3× 6 2.3k
Monica Giannotta Italy 18 192 0.2× 823 1.6× 183 0.5× 124 0.7× 108 0.7× 25 1.7k
Jan Olaf Stracke Switzerland 18 268 0.3× 1.0k 2.0× 123 0.3× 105 0.6× 102 0.6× 26 1.8k
Andreas Steinbrecher Germany 18 251 0.3× 565 1.1× 94 0.2× 105 0.6× 238 1.5× 52 1.6k
Amanda Littlewood‐Evans Switzerland 24 583 0.7× 1.4k 2.7× 83 0.2× 202 1.1× 30 0.2× 30 2.4k
Lara Fallon United States 21 391 0.5× 1.0k 2.0× 101 0.3× 191 1.0× 55 0.4× 62 2.4k
Dirk Mielenz Germany 26 702 0.8× 750 1.5× 57 0.1× 158 0.8× 26 0.2× 63 1.8k
Steven R. Barthel United States 20 717 0.9× 741 1.5× 71 0.2× 273 1.5× 40 0.3× 36 1.7k
Mitomu Kioi Japan 23 701 0.8× 1.5k 2.9× 67 0.2× 441 2.4× 117 0.7× 63 3.5k

Countries citing papers authored by A. Ischenko

Since Specialization
Citations

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

Fields of papers citing papers by A. Ischenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Ischenko. A scholar is included among the top collaborators of A. Ischenko 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. Ischenko. A. Ischenko 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.
Efimova, Svetlana S., et al.. (2023). A new look at Hsp70 activity in phosphatidylserine-enriched membranes: chaperone-induced quasi-interdigitated lipid phase. Scientific Reports. 13(1). 19233–19233. 6 indexed citations
2.
Nikolaev, B. P., L. Yakovleva, Viacheslav Fedorov, et al.. (2023). Magnetic Relaxation Switching Assay Using IFNα-2b-Conjugated Superparamagnetic Nanoparticles for Anti-Interferon Antibody Detection. Biosensors. 13(6). 624–624. 1 indexed citations
3.
Makky, Ali, Oleg Konovalov, A. Zhakhov, et al.. (2023). X-ray reflectivity study of the heat shock protein Hsp70 interaction with an artificial cell membrane model. Scientific Reports. 13(1). 19157–19157. 4 indexed citations
4.
Gorbunov, N., et al.. (2019). THE DYNAMICS OF HUMAN TOTAL AND ACTIVATED ANTI-MULLERIAN HORMONE SERUM LEVELS IN DIFFERENT LIFE PERIODS. Russian Clinical Laboratory Diagnostics. 64(6). 342–347.
5.
Shevtsov, Maxim, Emil Pitkin, A. Ischenko, et al.. (2019). Ex vivo Hsp70-Activated NK Cells in Combination With PD-1 Inhibition Significantly Increase Overall Survival in Preclinical Models of Glioblastoma and Lung Cancer. Frontiers in Immunology. 10. 454–454. 49 indexed citations
6.
Стефанов, В. Е., et al.. (2019). Is the hormone a protease? Proteolytic properties of human recombinant anti-mullerian hormone. Biological Communications. 64(3). 2 indexed citations
7.
Ischenko, A., et al.. (2019). PREPARATION AND PROPERTIES OF MURINE ANTI-IDIOTYPIC MONOCLONAL ANTIBODIES RECOGNIZING PRIMARY RABBIT POLYCLONAL ANTIBODIES AGAINST MORPHINE DERIVATIVES. SHILAP Revista de lepidopterología. 21(5). 987–996. 1 indexed citations
8.
9.
Shevtsov, Maxim, B. P. Nikolaev, L. Yakovleva, et al.. (2015). Recombinant Interleukin-1 Receptor Antagonist Conjugated to Superparamagnetic Iron Oxide Nanoparticles for Theranostic Targeting of Experimental Glioblastoma. Neoplasia. 17(1). 32–42. 32 indexed citations
10.
Shevtsov, Maxim, Alexander Kim, И. В. Романова, et al.. (2014). Pilot study of intratumoral injection of recombinant heat shock protein 70 in the treatment of malignant brain tumors in children. OncoTargets and Therapy. 7. 1071–1071. 29 indexed citations
11.
Shevtsov, Maxim, L. Yakovleva, B. P. Nikolaev, et al.. (2013). Tumor targeting using magnetic nanoparticle Hsp70 conjugate in a model of C6 glioma. Neuro-Oncology. 16(1). 38–49. 46 indexed citations
12.
Ischenko, A., et al.. (2007). IL-1 Receptor Antagonist as an Aerosol in Inflammation. Journal of Aerosol Medicine. 20(4). 445–459. 4 indexed citations
13.
14.
Ischenko, A., et al.. (2003). Complement component anaphylatoxins upregulate chemokine expression by human astrocytes. FEBS Letters. 537(1-3). 17–22. 43 indexed citations
15.
Beek, Johan van, Olivier Nicole, Carine Ali, et al.. (2001). Complement anaphylatoxin C3a is selectively protective against NMDA-induced neuronal cell death. Neuroreport. 12(2). 289–293. 95 indexed citations
16.
Monsinjon, Tiphaine, Philippe Gasque, A. Ischenko, & Marc Fontaine. (2001). C3A binds to the seven transmembrane anaphylatoxin receptor expressed by epithelial cells and triggers the production of IL‐8. FEBS Letters. 487(3). 339–346. 37 indexed citations
17.
Ischenko, A., et al.. (1999). Expression of Cytokines by Human Astrocytomas Following Stimulation by C3a and C5a Anaphylatoxins. Journal of Neurochemistry. 72(6). 2426–2436. 75 indexed citations
18.
Erdei, Anna, Gábor Tóth, János Matkó, et al.. (1999). Inhibition of IgE-mediated triggering of mast cells by complement-derived peptides interacting with the FcεRI. Immunology Letters. 68(1). 79–82. 14 indexed citations
19.
Ischenko, A., Christine Patte‐Mensah, Philippe Gasque, et al.. (1998). Expression of a Functional Anaphylatoxin C3a Receptor by Astrocytes. Journal of Neurochemistry. 71(6). 2487–2496. 54 indexed citations
20.
Patte‐Mensah, Christine, Philippe Gasque, Philippe Chan, et al.. (1997). Characterization of rat C5a anaphylatoxin receptor (C5aR): cloning of rat C5aR cDNA and study of C5aR expression by rat astrocytes. Molecular Brain Research. 48(2). 215–222. 27 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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