О.Н. Иванова

575 citations
51 papers · 331 · h-index 10

Impact in

Papers in

О.Н. Иванова

37 papers receiving 289 citations

Peers

О.Н. Иванова
Comparison fields: 5 of 58
  • Rheumatology 101
  • Endocrinology, Diabetes and Metabolism 112
  • Neurology 63
  • Immunology 63
  • Genetics 72
Replace Mouna Mnif with:
Mouna Mnif Tunisia
Frederik Flindt Kreiner Denmark
Nancy J. Olsen United States
Megan Donohue United States
Alex Kessler Israel
Michèle Coutard France
Amer Awad United States
Jiaoxing Li China
Ryo Suzuki Japan
Mascha Koenen Germany
О.Н. Иванова relative to Mouna Mnif Tunisia Mouna Mnif's profile →
Citations per field
00.5×2.9×
Mouna Mnif · 1×
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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201788
2 200928
3 201527
4 200822
5 201621
6 201720
7 200618
8 202015
9 201612
10 20139
11 20149
12 20178
13 20225
14 20185
15 20164
16
[Clinical features of LRRK2-associated Parkinson's disease].
20114
17 20133
18 20143
19 20173
20 20063

About О.Н. Иванова

О.Н. Иванова is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Rheumatology, having authored 51 papers that have together received 331 indexed citations. Recurring topics across this work include Diabetes and associated disorders (18 papers), Adrenal Hormones and Disorders (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Lipid metabolism and disorders (5 papers), Pancreatic function and diabetes (5 papers), Diabetes Management and Research (5 papers) and Spondyloarthritis Studies and Treatments (5 papers). The work is most often cited by research in Rheumatology (101 citations), Endocrinology, Diabetes and Metabolism (112 citations), Neurology (63 citations), Immunology (63 citations) and Genetics (72 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, Maria Kareva, Ш. Ф. Эрдес, Per M. Knappskog, Leila Sozaeva, Olle Kämpe, A. L. Schwarzman and Elizaveta Orlova. Their work appears in journals such as Journal of Personalized Medicine, Movement Disorders, Circulation, Genes and Human Genetics.

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.

Explore authors with similar magnitude of impact