И. Г. Удина
- Genetics top 10%
- Ecology top 10%
- Ecology, Evolution, Behavior and Systematics
- Molecular Biology
- Immunology
- Co-authors
- Charles C. SchwartzR. Terry BowyerKris J. HundertmarkGerald F. ShieldsГ. Е. СулимоваЛ. А. АтраментоваIosif S. TsybovskyГ. Г. Боескоров
- Topics
- Regional Socio-Economic Development Trends (11 papers)Forensic and Genetic Research (8 papers)T-cell and Retrovirus Studies (5 papers)
- Cited by
- GeneticsEcologyEcological Modeling
In The Last Decade
И. Г. Удина
51 papers receiving 423 citations
Peers
Comparison fields: 5 of 73
- Genetics 235
- Ecology 159
- Ecology, Evolution, Behavior and Systematics 60
- Molecular Biology 59
- Immunology 55
Countries citing papers authored by И. Г. Удина
This map shows the geographic impact of И. Г. Удина'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 И. Г. Удина with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites И. Г. Удина more than expected).
Fields of papers citing papers by И. Г. Удина
This network shows the impact of papers produced by И. Г. Удина. 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 И. Г. Удина. The network helps show where И. Г. Удина may publish in the future.
Co-authorship network of co-authors of И. Г. Удина
This figure shows the co-authorship network connecting the top 25 collaborators of И. Г. Удина. A scholar is included among the top collaborators of И. Г. Удина 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 И. Г. Удина. И. Г. Удина is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | [Genetic HLA markers associated with pulmonary tuberculosis in the Barum-Khemchiksky District, Republic of Tyva]. | 4 |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 139 | |
| 15 | [Polymorphism of cattle prolactin gene: microsatellites, PSR-RFLP]. | 3 |
| 16 | [Comparative analysis of Ayrshire and Black Pied cattle breeds by histocompatibility markers]. | 12 |
| 17 | DNA polymorphism at the BoLA-DRB3 gene of cattle in relation to resistance and susceptibility to leukemia | 14 |
| 18 | [DNA polymorphism of the BoLA-DRB3 gene in cattle in connection with resistance and susceptibility to leukemia]. | 12 |
| 19 | The study of DNA polymorphism of European bison by PCR-analysis of kappa-casein gene and loci DQB and DRB of the major histocompatibility complex. | 2 |
| 20 | [Population genetics of taiga hunters-deer breeders. Characteristics of the prevalence of HLA system markers among the native population of Central Siberia]. | 2 |
About И. Г. Удина
И. Г. Удина is a scholar working on Genetics, Demography and Periodontics, having authored 64 papers that have together received 468 indexed citations. Recurring topics across this work include Regional Socio-Economic Development Trends (11 papers), Forensic and Genetic Research (8 papers) and T-cell and Retrovirus Studies (5 papers). The work is most often cited by research in Genetics (235 citations), Ecology (159 citations) and Ecological Modeling (23 citations). И. Г. Удина has collaborated with scholars based in Russia, Ukraine and Sweden. Frequent co-authors include Charles C. Schwartz, R. Terry Bowyer, Kris J. Hundertmark, Gerald F. Shields, Г. Е. Сулимова, Л. А. Атраментова, Iosif S. Tsybovsky, Г. Г. Боескоров, А. А. Данилкин and Mark Stoneking. Their work appears in journals such as Molecular Phylogenetics and Evolution, Forensic Science International and Cytogenetic and Genome Research.
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.