Amanda Souza
- Molecular Biology top 1%
- Physiology top 1%
- Epidemiology top 5%
- Oncology top 5%
- Hematology top 2%
- Co-authors
- Justin M. RobertsJoshiawa PaulkJames E. BradnerDennis L. BuckleyClary B. ClishSirano Dhe‐PaganonGeorg E. WinterRobert E. Gerszten
- Topics
- Protein Degradation and Inhibitors (6 papers)Ubiquitin and proteasome pathways (4 papers)Adipose Tissue and Metabolism (3 papers)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Amanda Souza
14 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 4.4k
- Physiology 1.4k
- Epidemiology 733
- Oncology 730
- Hematology 574
Countries citing papers authored by Amanda Souza
This map shows the geographic impact of Amanda Souza'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 Amanda Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Souza more than expected).
Fields of papers citing papers by Amanda Souza
This network shows the impact of papers produced by Amanda Souza. 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 Amanda Souza. The network helps show where Amanda Souza may publish in the future.
Co-authorship network of co-authors of Amanda Souza
This figure shows the co-authorship network connecting the top 25 collaborators of Amanda Souza. A scholar is included among the top collaborators of Amanda Souza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amanda Souza. Amanda Souza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | The dTAG system for immediate and target-specific protein degradationbreakdown → | 652 |
| 3 | 75 | |
| 4 | Transcription control by the ENL YEATS domain in acute leukaemia | 1 |
| 5 | 204 | |
| 6 | 115 | |
| 7 | 82 | |
| 8 | Phthalimide conjugation as a strategy for in vivo target protein degradationbreakdown → | 1253 |
| 9 | 18 | |
| 10 | 90 | |
| 11 | Metabolite profiles and the risk of developing diabetesbreakdown → | 2326 |
| 12 | SIRT3 Opposes Reprogramming of Cancer Cell Metabolism through HIF1α Destabilizationbreakdown → | 659 |
| 13 | Activation of a Metabolic Gene Regulatory Network Downstream of mTOR Complex 1 | 2 |
| 14 | 145 |
About Amanda Souza
Amanda Souza is a scholar working on Aging, Geriatrics and Gerontology and Hematology, having authored 14 papers that have together received 5.7k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Geriatrics and Gerontology (388 citations), Molecular Biology (4.4k citations) and Physiology (1.4k citations). Amanda Souza has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Justin M. Roberts, Joshiawa Paulk, James E. Bradner, Dennis L. Buckley, Clary B. Clish, Sirano Dhe‐Paganon, Georg E. Winter, Robert E. Gerszten, Gregory D. Lewis and Eugene P. Rhee. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.