Sofia Aronova
Impact in
- Aging top 10%
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Endoplasmic Reticulum Stress and Disease 2
-
- Fungal and yeast genetics research 4
- Sphingolipid Metabolism and Signaling 3
- PI3K/AKT/mTOR signaling in cancer 3
- Protein Kinase Regulation and GTPase Signaling 2
- RNA Research and Splicing 1
- Co-authors
- Ted Powers (8 shared papers)Karen P. Wedaman (3 shared papers)John R. Yates (2 shared papers)Scott Anderson (2 shared papers)Pavel A. Aronov (1 shared paper)Bruce D. Hammock (1 shared paper)J. Michael McCaffery (1 shared paper)Cory Iverson (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Cell Metabolism (1 paper)Molecular Biology of the Cell (1 paper)Pharmacogenetics and Genomics (1 paper)The Enzymes (1 paper)
- Partner nations
- United States
In The Last Decade
Sofia Aronova
9 papers receiving 769 citations
Peers
Comparison fields: 5 of 60
- Aging 42
- Cell Biology 194
- Molecular Biology 677
- Pharmacology 97
- Physiology 16
Countries citing papers authored by Sofia Aronova
This map shows the geographic impact of Sofia Aronova'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 Sofia Aronova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Aronova more than expected).
Fields of papers citing papers by Sofia Aronova
This network shows the impact of papers produced by Sofia Aronova. 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 Sofia Aronova. The network helps show where Sofia Aronova may publish in the future.
Co-authors
The 22 scholars most cited alongside Sofia Aronova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 210 | |
| 2 | 2008 | 163 | |
| 3 | 2006 | 152 | |
| 4 | 2007 | 85 | |
| 5 | 2004 | 75 | |
| 6 | 2006 | 53 | |
| 7 | 2014 | 32 | |
| 8 | 2012 | 8 | |
| 9 | 2010 | 4 |
About Sofia Aronova
Sofia Aronova is a scholar working on Cell Biology, Molecular Biology, Biochemistry, Ecology, Evolution, Behavior and Systematics and Plant Science, having authored 9 papers that have together received 782 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Sphingolipid Metabolism and Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Lipid metabolism and biosynthesis (1 paper), RNA Research and Splicing (1 paper) and Fungal Plant Pathogen Control (1 paper). The work is most often cited by research in Aging (42 citations), Cell Biology (194 citations), Molecular Biology (677 citations), Pharmacology (97 citations) and Physiology (16 citations). Sofia Aronova has collaborated with scholars based in United States. Frequent co-authors include Ted Powers, Karen P. Wedaman, John R. Yates, Scott Anderson, Pavel A. Aronov, Bruce D. Hammock, J. Michael McCaffery, Cory Iverson, Stephen R. Fairclough and Stephanie W. L. Chu. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism, Molecular Biology of the Cell, Pharmacogenetics and Genomics and The Enzymes.
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.