Yu. Ya. Kit

666 total citations
54 papers, 544 citations indexed

About

Yu. Ya. Kit is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yu. Ya. Kit has authored 54 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Immunology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yu. Ya. Kit's work include Infant Nutrition and Health (13 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Glycosylation and Glycoproteins Research (8 papers). Yu. Ya. Kit is often cited by papers focused on Infant Nutrition and Health (13 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Glycosylation and Glycoproteins Research (8 papers). Yu. Ya. Kit collaborates with scholars based in Ukraine, Russia and Czechia. Yu. Ya. Kit's co-authors include Rostyslav Stoika, Dmitry V. Semenov, Rostyslav Bilyy, Georgy A. Nevinsky, Vladimir A. Richter, Valentina N. Buneva, Ulf Hellman, Elena V. Kuligina, Jean‐Marc Nicaud and S. Kelly Sears and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Yu. Ya. Kit

48 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu. Ya. Kit Ukraine 14 321 172 122 56 49 54 544
A. Roche France 14 486 1.5× 160 0.9× 63 0.5× 43 0.8× 56 1.1× 23 760
Neung‐Seon Seo United States 13 320 1.0× 123 0.7× 70 0.6× 20 0.4× 80 1.6× 19 599
B. G. Sanders United States 11 328 1.0× 190 1.1× 154 1.3× 47 0.8× 48 1.0× 23 609
Pam Tangvoranuntakul United States 7 706 2.2× 243 1.4× 176 1.4× 71 1.3× 138 2.8× 7 998
Jarkko Räbinä Finland 15 536 1.7× 123 0.7× 60 0.5× 105 1.9× 84 1.7× 27 778
Kazuhiko Okumura Japan 18 422 1.3× 182 1.1× 47 0.4× 42 0.8× 21 0.4× 32 817
Jutta Schlepper‐Schäfer Germany 18 432 1.3× 211 1.2× 93 0.8× 37 0.7× 46 0.9× 26 873
Andrey Tchorbanov Bulgaria 17 228 0.7× 426 2.5× 191 1.6× 16 0.3× 47 1.0× 73 820
J C Byrd United States 9 522 1.6× 152 0.9× 135 1.1× 65 1.2× 51 1.0× 9 686
Rachel E. Taylor United States 7 428 1.3× 173 1.0× 180 1.5× 23 0.4× 84 1.7× 8 623

Countries citing papers authored by Yu. Ya. Kit

Since Specialization
Citations

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

Fields of papers citing papers by Yu. Ya. Kit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. Ya. Kit. 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 Yu. Ya. Kit. The network helps show where Yu. Ya. Kit may publish in the future.

Co-authorship network of co-authors of Yu. Ya. Kit

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. Ya. Kit. A scholar is included among the top collaborators of Yu. Ya. Kit 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 Yu. Ya. Kit. Yu. Ya. Kit 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.
Souchelnytskyi, Serhiy, et al.. (2021). Identification of cortactin molecular forms in human urine and their possible diagnostic value. SHILAP Revista de lepidopterología. 93(4). 103–110. 1 indexed citations
2.
Kuligina, Elena V., Yu. Ya. Kit, Max Richter, et al.. (2019). Cytotoxic and Antitumor Activity of Lactaptin in Combination with Autophagy Inducers and Inhibitors. BioMed Research International. 2019. 1–16. 15 indexed citations
3.
Zasońska, Beata A., Helena Hlídková, Eduard Petrovský, et al.. (2018). Monodisperse magnetic poly(glycidyl methacrylate) microspheres for isolation of autoantibodies with affinity for the 46 kDa form of unconventional Myo1C present in autoimmune patients. Microchimica Acta. 185(5). 262–262. 13 indexed citations
4.
Stoika, Rostyslav, et al.. (2017). Characteristics of Potential Protein Biomarkers Extracted with 10% TCA from Blood Serum of Non-Hodgkin's Lymphoma and Multiple Myeloma Patients.. Europe PMC (PubMed Central). 6(4). 235–238. 2 indexed citations
5.
Nehrych, Tetyana, et al.. (2016). Identification of SER-PRO-CYS Peptide in Blood Serum of Multiple Sclerosis Patients. Protein and Peptide Letters. 23(9). 808–811. 3 indexed citations
6.
Tkachenko, Volodymyr, et al.. (2015). Isolation and characterization of peptides from blood serum of patients with multiple sclerosis. SHILAP Revista de lepidopterología. 9(2). 51–58. 2 indexed citations
7.
Nehrych, Tetyana, et al.. (2015). Identification of a 48 kDa form of unconventional myosin 1c in blood serum of patients with autoimmune diseases. SHILAP Revista de lepidopterología. 5. 175–179. 11 indexed citations
8.
Kit, Yu. Ya., et al.. (2014). Detection of novel auto-antigens in patients with recurrent miscarriage: description of an approach and preliminary findings. Croatian Medical Journal. 55(3). 259–264. 6 indexed citations
9.
Bilyy, Rostyslav, et al.. (2012). Apoptotic modification of glycosphingolipids of human granulocytes. SHILAP Revista de lepidopterología. 6(2). 45–54. 1 indexed citations
10.
Bilyy, Rostyslav, Luis E. Muñoz, Sandra Franz, et al.. (2011). Macrophages Discriminate Glycosylation Patterns of Apoptotic Cell-derived Microparticles. Journal of Biological Chemistry. 287(1). 496–503. 66 indexed citations
11.
12.
Bilyy, Rostyslav, et al.. (2009). Blood serum immunoglobulins of patients with multiple myeloma are capable of hydrolysing histone H1.. PubMed. 31(2). 97–101. 6 indexed citations
13.
Semenov, Dmitry V., et al.. (2008). Lactaptin is a human milk protein inducing apoptosis of MCF-7 adenocarcinoma cells. Doklady Biochemistry and Biophysics. 419(1). 58–61. 21 indexed citations
14.
Kit, Yu. Ya., et al.. (2008). Detection and characterization of IgG-and sIgA-abzymes capable of hydrolyzing histone H1. Biochemistry (Moscow). 73(8). 950–956. 8 indexed citations
15.
Bilyy, Rostyslav, Yu. Ya. Kit, Ulf Hellman, & Rostyslav Stoika. (2008). AMID: new insights on its intracellular localization and expression at apoptosis. APOPTOSIS. 13(5). 729–732. 26 indexed citations
16.
Kit, Yu. Ya., Viktor R. Drel, Oleh I. Petriv, et al.. (2003). Adaptor Protein Ruk1 Forms Protein–Protein Complexes with Endonuclease Activity in HEK293 Cells. Biochemistry (Moscow). 68(7). 810–815. 1 indexed citations
17.
Nevinsky, Georgy A., et al.. (1998). Secretory immunoglobulin a from human milk catalyzes milk protein phosphorylation. Applied Biochemistry and Biotechnology. 75(1). 77–91. 42 indexed citations
18.
Yakubov, L. A., Yu. Ya. Kit, Vladimir A. Richter, et al.. (1998). The extracellular domain of CD4 receptor possesses a protein kinase activity. FEBS Letters. 431(1). 45–48. 4 indexed citations
19.
Морозова, О. В., et al.. (1997). Phosphorylation of tick-borne encephalitis virus NS5 protein. Virus Research. 49(1). 9–15. 29 indexed citations
20.
Kit, Yu. Ya., Dmitry V. Semenov, & Georgy A. Nevinsky. (1996). Phosphorylation of different human milk proteins by human catalytic secretory immunoglobulin A. IUBMB Life. 39(3). 521–527. 42 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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