I. E. Deyev

834 total citations
53 papers, 629 citations indexed

About

I. E. Deyev is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, I. E. Deyev has authored 53 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 12 papers in Surgery and 8 papers in Cell Biology. Recurrent topics in I. E. Deyev's work include Pancreatic function and diabetes (12 papers), Receptor Mechanisms and Signaling (10 papers) and Metabolism, Diabetes, and Cancer (8 papers). I. E. Deyev is often cited by papers focused on Pancreatic function and diabetes (12 papers), Receptor Mechanisms and Signaling (10 papers) and Metabolism, Diabetes, and Cancer (8 papers). I. E. Deyev collaborates with scholars based in Russia, France and Belarus. I. E. Deyev's co-authors include Alexander G. Petrenko, N. V. Popova, О. В. Серова, Alexey A. Pakhomov, Vladimir I. Martynov, Svetlana Zhenilo, Sergey Zozulya, Dominique Eladari, Eugenio Bertelli and А. Н. Мурашев and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Cell Metabolism.

In The Last Decade

I. E. Deyev

49 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. E. Deyev Russia 16 471 89 88 66 50 53 629
Sebastian Hauke Germany 11 272 0.6× 70 0.8× 59 0.7× 53 0.8× 41 0.8× 15 434
N. V. Popova Russia 13 506 1.1× 40 0.4× 63 0.7× 46 0.7× 44 0.9× 27 751
Yuki Nishikawa Japan 12 439 0.9× 59 0.7× 65 0.7× 36 0.5× 68 1.4× 29 745
Yulong Sun China 18 453 1.0× 56 0.6× 39 0.4× 36 0.5× 66 1.3× 31 711
Sandra Burgstaller Austria 11 305 0.6× 43 0.5× 34 0.4× 79 1.2× 32 0.6× 22 471
Bree K. Grillo‐Hill United States 7 347 0.7× 49 0.6× 41 0.5× 46 0.7× 18 0.4× 8 522
Takeshi Sekine Japan 16 291 0.6× 48 0.5× 119 1.4× 36 0.5× 57 1.1× 47 772
Yanwu Yang United States 15 706 1.5× 63 0.7× 141 1.6× 129 2.0× 57 1.1× 35 917
Shirley Campbell Canada 18 461 1.0× 36 0.4× 47 0.5× 48 0.7× 59 1.2× 27 777
Tetsuhiro Minamikawa Japan 11 456 1.0× 28 0.3× 33 0.4× 103 1.6× 38 0.8× 21 655

Countries citing papers authored by I. E. Deyev

Since Specialization
Citations

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

Fields of papers citing papers by I. E. Deyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. E. Deyev. 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 I. E. Deyev. The network helps show where I. E. Deyev may publish in the future.

Co-authorship network of co-authors of I. E. Deyev

This figure shows the co-authorship network connecting the top 25 collaborators of I. E. Deyev. A scholar is included among the top collaborators of I. E. Deyev 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 I. E. Deyev. I. E. Deyev 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.
Sharko, Fedor, et al.. (2024). Dissecting the Kaiso binding profile in clear renal cancer cells. Epigenetics & Chromatin. 17(1). 38–38.
2.
Серова, О. В., et al.. (2024). Interaction of the Endocrine and Exocrine Parts of the Pancreas. Российский физиологический журнал им  И  М  Сеченова. 110(4). 515–526.
3.
Антипова, Т. А., et al.. (2023). PHARMACOGENETIC ANALYSIS OF THE INTERACTION OF THE LOW-MOLECULAR WEIGHT BDNF MIMETIC DIPEPTIDE GSB-106 WITH TRK RECEPTORS. 511(1). 391–394. 1 indexed citations
4.
Серова, О. В., et al.. (2023). A Comparative Kidney Transcriptome Analysis of Bicarbonate-Loaded insrr-Null Mice. Current Issues in Molecular Biology. 45(12). 9709–9722.
5.
Akimov, Mikhail, et al.. (2023). The Mechanisms of GPR55 Receptor Functional Selectivity during Apoptosis and Proliferation Regulation in Cancer Cells. International Journal of Molecular Sciences. 24(6). 5524–5524. 9 indexed citations
6.
Bocharova, Olga V., О. В. Серова, I. E. Deyev, et al.. (2023). Diversity of Structural, Dynamic, and Environmental Effects Explain a Distinctive Functional Role of Transmembrane Domains in the Insulin Receptor Subfamily. International Journal of Molecular Sciences. 24(4). 3906–3906. 2 indexed citations
7.
Антипова, Т. А., et al.. (2023). Pharmacogenetic Analysis of the Interaction of the Low-Molecular-Weight BDNF Mimetic Dipeptide GSB-106 with TRK Receptors. Doklady Biochemistry and Biophysics. 511(1). 166–168. 2 indexed citations
8.
Eroshkin, Fedor M., О. В. Серова, Alexey Sokolov, et al.. (2022). Insulin Receptor-Related Receptor Regulates the Rate of Early Development in Xenopus laevis. International Journal of Molecular Sciences. 23(16). 9250–9250. 4 indexed citations
9.
Pakhomov, Alexey A., A. V. Ryabova, И. Д. Романишкин, et al.. (2021). FLIM-Based Intracellular and Extracellular pH Measurements Using Genetically Encoded pH Sensor. Biosensors. 11(9). 340–340. 17 indexed citations
10.
Batishchev, Oleg V., et al.. (2021). Activity-dependent conformational transitions of the insulin receptor–related receptor. Journal of Biological Chemistry. 296. 100534–100534. 7 indexed citations
11.
Серова, О. В., et al.. (2020). Probing Structure and Function of Alkali Sensor IRR with Monoclonal Antibodies. Biomolecules. 10(7). 1060–1060. 5 indexed citations
12.
Серова, О. В., et al.. (2019). с-Met receptor can be activated by extracellular alkaline medium. Journal of Receptors and Signal Transduction. 39(1). 67–72. 3 indexed citations
13.
Shtykova, Eleonora V., Maxim V. Petoukhov, I. E. Deyev, et al.. (2019). The dimeric ectodomain of the alkali-sensing insulin receptor–related receptor (ectoIRR) has a droplike shape. Journal of Biological Chemistry. 294(47). 17790–17798. 9 indexed citations
14.
Серова, О. В., et al.. (2019). Autophosphorylation of Orphan Receptor ERBB2 Can Be Induced by Extracellular Treatment with Mildly Alkaline Media. International Journal of Molecular Sciences. 20(6). 1515–1515. 10 indexed citations
15.
Deyev, I. E., et al.. (2015). Mapping of alkali-sensing sites of the insulin receptor-related receptor. The role of L2 and fibronectin domains. Biochimie. 111. 1–9. 14 indexed citations
16.
Petrenko, Alexander G., Sergey Zozulya, I. E. Deyev, & Dominique Eladari. (2012). Insulin receptor-related receptor as an extracellular pH sensor involved in the regulation of acid–base balance. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(10). 2170–2175. 33 indexed citations
17.
Popova, N. V., I. E. Deyev, & Alexander G. Petrenko. (2011). Association of adaptor protein TRIP8b with clathrin. Journal of Neurochemistry. 118(6). 988–998. 2 indexed citations
18.
Deyev, I. E. & Alexander G. Petrenko. (2010). Regulation of CIRL-1 proteolysis and trafficking. Biochimie. 92(4). 418–422. 17 indexed citations
19.
Серова, О. В., N. V. Popova, Alexander G. Petrenko, & I. E. Deyev. (2010). Association of the subunits of the calcium-independent receptor of α-latrotoxin. Biochemical and Biophysical Research Communications. 402(4). 658–662. 3 indexed citations
20.
Deyev, I. E., et al.. (2001). Tissue-specific isoforms of the ubiquitous transcription factor Oct-1. Molecular Genetics and Genomics. 266(2). 239–245. 29 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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