Anna Rodina
- Molecular Biology top 5%
- Heat shock proteins research 23
- Protein Structure and Dynamics 9
- ATP Synthase and ATPases Research 2
- Ubiquitin and proteasome pathways 2
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- Computational Drug Discovery Methods 9
- Aging top 10%
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 3
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- thermodynamics and calorimetric analyses 6
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- Toxin Mechanisms and Immunotoxins 5
- Co-authors
- Gabriela ChiosisTony TaldoneWenjie LuoKamalika MoulickCristina C. ClementNian WuWeilin SunKenneth N. Ross
- Journals
- Journal of Medicinal Chemistry (3 papers)Proceedings of the National Academy of Sciences (2 papers)FEBS Letters (2 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Anna Rodina
32 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.6k
- Computational Theory and Mathematics 368
- Aging 38
- Cell Biology 326
- Physical and Theoretical Chemistry 151
Countries citing papers authored by Anna Rodina
This map shows the geographic impact of Anna Rodina'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 Rodina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Rodina more than expected).
Fields of papers citing papers by Anna Rodina
This network shows the impact of papers produced by Anna Rodina. 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 Rodina. The network helps show where Anna Rodina may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Rodina, 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 | 2024 | 5 | |
| 2 | 2023 | 18 | |
| 3 | 2023 | 4 | |
| 4 | 2019 | 26 | |
| 5 | 2018 | 28 | |
| 6 | 2017 | 60 | |
| 7 | 2015 | 46 | |
| 8 | 2013 | 54 | |
| 9 | 2013 | 80 | |
| 10 | 2013 | 13 | |
| 11 | 2010 | 3 | |
| 12 | 2010 | 181 | |
| 13 | 2010 | 13 | |
| 14 | 2008 | 40 | |
| 15 | 2007 | 35 | |
| 16 | 2007 | 129 | |
| 17 | 2006 | 40 | |
| 18 | 2006 | 433 | |
| 19 | 1999 | 26 | |
| 20 | 1998 | 5 |
About Anna Rodina
Anna Rodina is a scholar working on Physical and Theoretical Chemistry, Aging, Computational Theory and Mathematics, Molecular Biology and Cell Biology, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Heat shock proteins research (23 papers), Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (9 papers), thermodynamics and calorimetric analyses (6 papers), Toxin Mechanisms and Immunotoxins (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), ATP Synthase and ATPases Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Computational Theory and Mathematics (368 citations), Aging (38 citations), Cell Biology (326 citations) and Physical and Theoretical Chemistry (151 citations). Anna Rodina has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Gabriela Chiosis, Tony Taldone, Wenjie Luo, Kamalika Moulick, Cristina C. Clement, Nian Wu, Weilin Sun, Kenneth N. Ross, Julia Aguirre and Srilakshmi M. Raj. Their work appears in journals such as Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences, FEBS Letters, Molecular Cancer Therapeutics and SLAS DISCOVERY.
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.