Quinlan Sievers
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
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- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 3
- CRISPR and Genetic Engineering 2
-
- Acute Myeloid Leukemia Research 2
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Benjamin L. Ebert (6 shared papers)Mikołaj Słabicki (2 shared papers)Brian Liddicoat (1 shared paper)Georg Petzold (1 shared paper)R.D. Bunker (1 shared paper)Nicolas H. Thomä (1 shared paper)Wassim Abdulrahman (1 shared paper)Tarjei S. Mikkelsen (1 shared paper)
- Journals
- Blood (4 papers)Cell stem cell (1 paper)Science Translational Medicine (1 paper)Science (1 paper)General and Comparative Endocrinology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Quinlan Sievers
10 papers receiving 702 citations
Quinlan Sievers's Hit Papers
Peers
Comparison fields: 5 of 55
- Hematology 173
- Oncology 300
- Molecular Biology 549
- Immunology 69
- Genetics 74
Countries citing papers authored by Quinlan Sievers
This map shows the geographic impact of Quinlan Sievers'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 Quinlan Sievers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quinlan Sievers more than expected).
Fields of papers citing papers by Quinlan Sievers
This network shows the impact of papers produced by Quinlan Sievers. 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 Quinlan Sievers. The network helps show where Quinlan Sievers may publish in the future.
Co-authors
The 25 scholars most cited alongside Quinlan Sievers, 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 | Defining the human C2H2 zinc finger degrome targeted by thalidomide analogs through CRBN Hit paper breakdown → | 2018 | 341 |
| 2 | 2021 | 180 | |
| 3 | 2018 | 91 | |
| 4 | 2017 | 63 | |
| 5 | 2010 | 15 | |
| 6 | 2010 | 12 | |
| 7 | 2016 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2016 | 2 | |
| 10 | 2010 | 1 |
About Quinlan Sievers
Quinlan Sievers is a scholar working on Molecular Biology, Hematology, Nature and Landscape Conservation, Genetics and Ecology, having authored 10 papers that have together received 710 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (3 papers), Acute Myeloid Leukemia Research (2 papers), CAR-T cell therapy research (2 papers), Marine animal studies overview (2 papers), CRISPR and Genetic Engineering (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Ichthyology and Marine Biology (2 papers). The work is most often cited by research in Hematology (173 citations), Oncology (300 citations), Molecular Biology (549 citations), Immunology (69 citations) and Genetics (74 citations). Quinlan Sievers has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Benjamin L. Ebert, Mikołaj Słabicki, Brian Liddicoat, Georg Petzold, R.D. Bunker, Nicolas H. Thomä, Wassim Abdulrahman, Tarjei S. Mikkelsen, Aline Renneville and Jessica A. Gasser. Their work appears in journals such as Blood, Cell stem cell, Science Translational Medicine, Science and General and Comparative Endocrinology.
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.