Yu. Ya. Kit
Impact in
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- Galectins and Cancer Biology
- Immunotherapy and Immune Responses
- Phagocytosis and Immune Regulation
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Glycosylation and Glycoproteins Research 8
- RNA Interference and Gene Delivery 7
- Immunology 19
- Galectins and Cancer Biology 6
- Immunodeficiency and Autoimmune Disorders 6
- T-cell and B-cell Immunology 4
- Co-authors
- Rostyslav Stoika (32 shared papers)Dmitry V. Semenov (6 shared papers)Rostyslav Bilyy (14 shared papers)Georgy A. Nevinsky (2 shared papers)Vladimir A. Richter (11 shared papers)Valentina N. Buneva (2 shared papers)Ulf Hellman (2 shared papers)Elena V. Kuligina (10 shared papers)
In The Last Decade
Yu. Ya. Kit
48 papers receiving 537 citations
Peers
Comparison fields: 5 of 86
- Immunology 172
- Radiology, Nuclear Medicine and Imaging 122
- Molecular Biology 321
- Immunology and Allergy 27
- Nutrition and Dietetics 56
Countries citing papers authored by Yu. Ya. Kit
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
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-authors
The 25 scholars most cited alongside Yu. Ya. Kit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 66 | |
| 2 | 2003 | 54 | |
| 3 | 1998 | 42 | |
| 4 | 1996 | 42 | |
| 5 | 1997 | 29 | |
| 6 | 2008 | 26 | |
| 7 | Human breast milk immunoglobulins G hydrolyze nucleotides. | 1998 | 25 |
| 8 | 2008 | 21 | |
| 9 | 2005 | 18 | |
| 10 | 2019 | 15 | |
| 11 | 2010 | 15 | |
| 12 | 2012 | 14 | |
| 13 | 2009 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2012 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2015 | 11 | |
| 18 | 2017 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2010 | 10 |
About Yu. Ya. Kit
Yu. Ya. Kit is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Nutrition and Dietetics and Genetics, having authored 54 papers that have together received 544 indexed citations. Recurring topics across this work include Infant Nutrition and Health (13 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Glycosylation and Glycoproteins Research (8 papers), RNA Interference and Gene Delivery (7 papers), Galectins and Cancer Biology (6 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Breastfeeding Practices and Influences (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (172 citations), Radiology, Nuclear Medicine and Imaging (122 citations), Molecular Biology (321 citations), Immunology and Allergy (27 citations) and Nutrition and Dietetics (56 citations). Yu. Ya. Kit has collaborated with scholars based in Ukraine, Russia and Czechia. Frequent co-authors include Rostyslav Stoika, Dmitry V. Semenov, Rostyslav Bilyy, Georgy A. Nevinsky, Vladimir A. Richter, Valentina N. Buneva, Ulf Hellman, Elena V. Kuligina, Martin Herrmann and S. Kelly Sears. Their work appears in journals such as Biomedical Chromatography, Virus Research, Cell Biology International, Applied Biochemistry and Biotechnology and IUBMB Life.
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.