Asya V. Grinberg
- Genetics top 2%
- Hematology top 2%
- Molecular Biology top 10%
- TGF-β signaling in diseases 8
- Muscle Physiology and Disorders 5
- Protein Structure and Dynamics 3
- Ubiquitin and proteasome pathways 3
- Physiology top 10%
- Rheumatology top 10%
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- Parathyroid Disorders and Treatments 3
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- Advanced Fluorescence Microscopy Techniques 3
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- Mass Spectrometry Techniques and Applications 3
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- Enzyme Structure and Function 3
- Co-authors
- Ravindra KumarTom K. KerppolaJasbir SeehraKathryn UnderwoodDianne SakoR. Scott PearsallRita BernhardtChang-Deng Hu
- Cited by
- GeneticsHematologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (4 papers)Nature Medicine (1 paper)
- Partner nations
- United StatesGermanyNew Zealand
In The Last Decade
Asya V. Grinberg
38 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Genetics 464
- Hematology 381
- Molecular Biology 1.1k
- Physiology 286
- Rheumatology 143
Countries citing papers authored by Asya V. Grinberg
This map shows the geographic impact of Asya V. Grinberg'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 Asya V. Grinberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asya V. Grinberg more than expected).
Fields of papers citing papers by Asya V. Grinberg
This network shows the impact of papers produced by Asya V. Grinberg. 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 Asya V. Grinberg. The network helps show where Asya V. Grinberg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Asya V. Grinberg, 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 | 2023 | 10 | |
| 2 | 2021 | 8 | |
| 3 | 2019 | 36 | |
| 4 | 2018 | 20 | |
| 5 | 2016 | 18 | |
| 6 | 2014 | 117 | |
| 7 | Transforming growth factor-β superfamily ligand trap ACE-536 corrects anemia by promoting late-stage erythropoiesisbreakdown → | 2014 | 346 |
| 8 | 2011 | 170 | |
| 9 | 2010 | 117 | |
| 10 | 2010 | 113 | |
| 11 | 2009 | 69 | |
| 12 | 2008 | 7 | |
| 13 | 2005 | 18 | |
| 14 | 2003 | 32 | |
| 15 | 2001 | 31 | |
| 16 | 2001 | 12 | |
| 17 | 2001 | 10 | |
| 18 | 1999 | 8 | |
| 19 | 1998 | 3 | |
| 20 | 1998 | 7 |
About Asya V. Grinberg
Asya V. Grinberg is a scholar working on Biophysics, Genetics and Nephrology, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (8 papers), Muscle Physiology and Disorders (5 papers), Protein Structure and Dynamics (3 papers), Parathyroid Disorders and Treatments (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Ubiquitin and proteasome pathways (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Genetics (464 citations), Hematology (381 citations) and Molecular Biology (1.1k citations). Asya V. Grinberg has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include Ravindra Kumar, Tom K. Kerppola, Jasbir Seehra, Kathryn Underwood, Dianne Sako, R. Scott Pearsall, Rita Bernhardt, Chang-Deng Hu, Jeffrey A. Ucran and Aaron W. Mulivor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.