Yu. Ya. Kit
Impact in
-
- Galectins and Cancer Biology
- Immunotherapy and Immune Responses
- Phagocytosis and Immune Regulation
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Glycosylation and Glycoproteins Research 8
- RNA Interference and Gene Delivery 7
- Immunology 19
- Immunodeficiency and Autoimmune Disorders 6
- Galectins and Cancer Biology 5
- 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 538 citations
Peers
Comparison fields: 5 of 86
- Immunology 160
- Radiology, Nuclear Medicine and Imaging 119
- Immunology and Allergy 26
- Molecular Biology 311
- Nutrition and Dietetics 54
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 | 53 | |
| 3 | 1996 | 42 | |
| 4 | 1998 | 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 | 2012 | 14 | |
| 14 | 2009 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2020 | 13 | |
| 17 | 2014 | 11 | |
| 18 | 2017 | 11 | |
| 19 | 2015 | 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 545 indexed citations. Recurring topics across this work include Infant Nutrition and Health (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (8 papers), RNA Interference and Gene Delivery (7 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Galectins and Cancer Biology (5 papers), Breastfeeding Practices and Influences (5 papers) and Digestive system and related health (4 papers). The work is most often cited by research in Immunology (160 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Immunology and Allergy (26 citations), Molecular Biology (311 citations) and Nutrition and Dietetics (54 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, O. A. Koval and Jean‐Marc Nicaud. Their work appears in journals such as Biomedical Chromatography, BioMed Research International, Clinical & Experimental Immunology, IUBMB Life and ACS Omega.
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.