О.Н. Иванова

558 citations
50 papers · 311 · h-index 10

Impact in

Papers in

О.Н. Иванова

36 papers receiving 272 citations

Peers

О.Н. Иванова
Comparison fields: 5 of 59
  • Rheumatology 103
  • Endocrinology, Diabetes and Metabolism 103
  • Neurology 63
  • Immunology 63
  • Genetics 75
Replace Alex Kessler with:
Alex Kessler Israel
Taichi Ikedo Japan
Megan Donohue United States
Brandon Pham United States
Ingrid Yao Mattisson Sweden
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Laleh Morgan United Kingdom
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Eric J. Mallack United States
Mascha Koenen Germany
О.Н. Иванова relative to Alex Kessler Israel Alex Kessler's profile →
Citations per field
00.5×5.3×
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Citations per year

Countries citing papers authored by О.Н. Иванова

Since Specialization
Citations

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

Fields of papers citing papers by О.Н. Иванова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by О.Н. Иванова. 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 О.Н. Иванова. The network helps show where О.Н. Иванова may publish in the future.

Co-authors

The 25 scholars most cited alongside О.Н. Иванова, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with О.Н. Иванова Line = papers co-authored together О.Н. Иванова links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201780
2 201527
3 200927
4 200821
5 201621
6 201719
7 200618
8 202014
9 201612
10 20139
11 20178
12 20148
13 20225
14 20185
15 20164
16
[Clinical features of LRRK2-associated Parkinson's disease].
20114
17 20133
18 20142
19 20162
20 20062

About О.Н. Иванова

О.Н. Иванова is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Rheumatology, having authored 50 papers that have together received 311 indexed citations. Recurring topics across this work include Diabetes and associated disorders (20 papers), Diabetes Management and Research (6 papers), Adrenal Hormones and Disorders (6 papers), Pancreatic function and diabetes (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Spondyloarthritis Studies and Treatments (5 papers) and Lipid metabolism and disorders (5 papers). The work is most often cited by research in Rheumatology (103 citations), Endocrinology, Diabetes and Metabolism (103 citations), Neurology (63 citations), Immunology (63 citations) and Genetics (75 citations). О.Н. Иванова has collaborated with scholars based in Russia, United States and Norway. Frequent co-authors include И. И. Дедов, Valentina Peterkova, Ekaterina Zakharova, A. L. Schwarzman, Ш. Ф. Эрдес, Per M. Knappskog, Lars Breivik, Elizaveta Orlova, Anette S. B. Wolff and Bergithe E Oftedal. Their work appears in journals such as Journal of Personalized Medicine, Movement Disorders, Human Genetics, Circulation and The Journal of Clinical Endocrinology & Metabolism.

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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