Anna Ivanova

1.6k citations
39 papers · 641 · h-index 15

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Metabolism, Diabetes, and Cancer 4
    • Hedgehog Signaling Pathway Studies 4
    • Pancreatic function and diabetes 7

Anna Ivanova

37 papers receiving 634 citations

Peers

Anna Ivanova
Comparison fields: 5 of 90
  • Cell Biology 146
  • Structural Biology 12
  • Genetics 223
  • Sensory Systems 29
  • Molecular Biology 361
Replace Seiichi Urushiyama with:
Seiichi Urushiyama Japan
Kouki K Touhara United States
Jaime de Juan‐Sanz United States
Darlene G. Skapura United States
Patricia Ñeco Spain
Seung-Ryoung Jung United States
Brian S. Muntean United States
Cynthia Gallant United States
Sayali S. Dixit United States
Dennis Wray United Kingdom
Anna Ivanova relative to Seiichi Urushiyama Japan Seiichi Urushiyama's profile →
Citations per field
00.5×9.3×
Seiichi Urushiyama · 1×
Citations per year

Countries citing papers authored by Anna Ivanova

Since Specialization
Citations

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

Fields of papers citing papers by Anna Ivanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Ivanova. 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 Anna Ivanova. The network helps show where Anna Ivanova may publish in the future.

Co-authors

The 25 scholars most cited alongside Anna Ivanova, 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 Anna Ivanova Line = papers co-authored together Anna Ivanova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201559
2 201654
3 202054
4 201349
5 201440
6 201738
7 201336
8 200933
9 200931
10 201728
11 201827
12 201820
13 201619
14 201819
15 202114
16 200913
17 201513
18 201112
19 202012
20 20109

About Anna Ivanova

Anna Ivanova is a scholar working on Molecular Biology, Surgery, Genetics, Cell Biology and Organic Chemistry, having authored 39 papers that have together received 641 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Genetic and Kidney Cyst Diseases (4 papers), Receptor Mechanisms and Signaling (4 papers), Diabetes and associated disorders (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Hedgehog Signaling Pathway Studies (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Cell Biology (146 citations), Structural Biology (12 citations), Genetics (223 citations), Sensory Systems (29 citations) and Molecular Biology (361 citations). Anna Ivanova has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Richard Kahn, Tamara Caspary, Michele Solimena, Yannis Kalaidzidis, Andreas Müller, Hassan Mziaut, Christof Dame, Eduardo D. Gigante, Michael P. East and Anke Sönmez. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Hepatology, Journal of Pineal Research and Scientific Reports.

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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