Anna Ivanova
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
Papers in
-
- Receptor Mechanisms and Signaling 4
- Hedgehog Signaling Pathway Studies 4
- Metabolism, Diabetes, and Cancer 3
- Surgery 9
- Pancreatic function and diabetes 7
- Co-authors
- Richard Kahn (7 shared papers)Tamara Caspary (4 shared papers)Michele Solimena (9 shared papers)Yannis Kalaidzidis (5 shared papers)Andreas Müller (5 shared papers)Christof Dame (3 shared papers)Hassan Mziaut (4 shared papers)Eduardo D. Gigante (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Hepatology (2 papers)Journal of Biological Chemistry (2 papers)Biomolecules (1 paper)Pediatric Research (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Anna Ivanova
37 papers receiving 651 citations
Peers
Comparison fields: 5 of 88
- Cell Biology 151
- Structural Biology 12
- Genetics 220
- Sensory Systems 29
- Molecular Biology 352
Countries citing papers authored by Anna Ivanova
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
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.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 59 | |
| 2 | 2016 | 55 | |
| 3 | 2020 | 54 | |
| 4 | 2013 | 49 | |
| 5 | 2014 | 42 | |
| 6 | 2017 | 41 | |
| 7 | 2013 | 36 | |
| 8 | 2009 | 33 | |
| 9 | 2009 | 32 | |
| 10 | 2018 | 30 | |
| 11 | 2017 | 28 | |
| 12 | 2018 | 21 | |
| 13 | 2018 | 19 | |
| 14 | 2016 | 19 | |
| 15 | 2015 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2009 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2011 | 12 | |
| 20 | 2010 | 9 |
About Anna Ivanova
Anna Ivanova is a scholar working on Molecular Biology, Surgery, Genetics, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 657 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Diabetes and associated disorders (4 papers), Receptor Mechanisms and Signaling (4 papers), Genetic and Kidney Cyst Diseases (4 papers), Hedgehog Signaling Pathway Studies (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Circadian rhythm and melatonin (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cell Biology (151 citations), Structural Biology (12 citations), Genetics (220 citations), Sensory Systems (29 citations) and Molecular Biology (352 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, Christof Dame, Hassan Mziaut, Eduardo D. Gigante, Michael P. East and Anke Sönmez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Hepatology, Journal of Biological Chemistry, Biomolecules and Pediatric 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.