O. Yu. Rebrova

419 citations
69 papers · 233 indexed · h-index 7
Topics
Pituitary Gland Disorders and Treatments (6 papers)Parathyroid Disorders and Treatments (5 papers)Neurological Disorders and Treatments (5 papers)
Journals
SHILAP Revista de lepidopterologíaNeurologyAnnals of the Rheumatic Diseases

In The Last Decade

O. Yu. Rebrova

50 papers receiving 216 citations

Peers

O. Yu. Rebrova
Comparison fields: 5 of 82
  • Physiology 54
  • Dermatology 35
  • Endocrinology, Diabetes and Metabolism 30
  • Rheumatology 29
  • Immunology and Allergy 29
Replace Kai‐Ting Chang with:
Kai‐Ting Chang Taiwan
Mustafa Gökçe Türkiye
Miho Yano Japan
Misba Beerahee United Kingdom
Erik A. Lippa United States
Qingyun Zou China
Fang‐Hong Shi China
Andrzej Kułach Poland
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O. Yu. Rebrova relative to Kai‐Ting Chang Taiwan Kai‐Ting Chang's profile →
Citations per field
00.5×2.9×
Kai‐Ting Chang · 1×
Citations per year

Countries citing papers authored by O. Yu. Rebrova

Since Specialization
Citations

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

Fields of papers citing papers by O. Yu. Rebrova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of O. Yu. Rebrova

This figure shows the co-authorship network connecting the top 25 collaborators of O. Yu. Rebrova. A scholar is included among the top collaborators of O. Yu. Rebrova 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 O. Yu. Rebrova. O. Yu. Rebrova 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
#WorkIndexed citations
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[THE CHOICE OF PERIOPERATIVE MULTIMODAL ANALGESIA IN PATIENTS WITH LUMBAR HERNIATED DISC: THE PRELIMINARY RESULTS.]
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[Results of open post-registration clinical trials of copaxone in patients with multiple sclerosis].
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About O. Yu. Rebrova

O. Yu. Rebrova is a scholar working on Health Informatics, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 69 papers that have together received 233 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (6 papers), Parathyroid Disorders and Treatments (5 papers) and Neurological Disorders and Treatments (5 papers). The work is most often cited by research in Immunology and Allergy (29 citations), Dermatology (35 citations) and Health Informatics (5 citations). O. Yu. Rebrova has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include А. А. Болдырев, G. I. Klebanov, Vladimirov IuA, O G Elisyutina, E S Fedenko, Rakhim M. Khaitov, Leszek Rutkowski, Robert Nowicki, Krzysztof Cpałka and S. Shavit. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Annals of the Rheumatic Diseases.

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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