Blake E. Smith
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
-
- Ubiquitin and proteasome pathways 4
- Protein Degradation and Inhibitors 4
- Kruppel-like factors research 1
- FOXO transcription factor regulation 1
-
- Multiple Myeloma Research and Treatments 3
- Co-authors
- Jing Wang (3 shared papers)Saul Jaime‐Figueroa (3 shared papers)Craig M. Crews (3 shared papers)Brian D. Hamman (2 shared papers)George M. Burslem (2 shared papers)Daniel P. Bondeson (3 shared papers)John Hines (2 shared papers)Alexandru D. Buhimschi (2 shared papers)
- Journals
- Cell chemical biology (2 papers)Nature Methods (1 paper)Cell Systems (1 paper)Acta Biomaterialia (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesSingaporeSweden
In The Last Decade
Blake E. Smith
7 papers receiving 1.6k citations
Blake E. Smith's Hit Papers
Peers
Comparison fields: 5 of 55
- Hematology 426
- Oncology 701
- Molecular Biology 1.5k
- Immunology 53
- Cell Biology 41
Countries citing papers authored by Blake E. Smith
This map shows the geographic impact of Blake E. Smith'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 Blake E. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blake E. Smith more than expected).
Fields of papers citing papers by Blake E. Smith
This network shows the impact of papers produced by Blake E. Smith. 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 Blake E. Smith. The network helps show where Blake E. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Blake E. Smith, 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 | Lessons in PROTAC Design from Selective Degradation with a Promiscuous Warhead Hit paper breakdown → | 2017 | 668 |
| 2 | The Advantages of Targeted Protein Degradation Over Inhibition: An RTK Case Study Hit paper breakdown → | 2017 | 518 |
| 3 | Differential PROTAC substrate specificity dictated by orientation of recruited E3 ligase Hit paper breakdown → | 2019 | 391 |
| 4 | 2022 | 59 | |
| 5 | 2024 | 3 | |
| 6 | 2021 | 2 | |
| 7 | 2012 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 |
About Blake E. Smith
Blake E. Smith is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Biomedical Engineering, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (4 papers), Multiple Myeloma Research and Treatments (3 papers), Virus-based gene therapy research (3 papers), CAR-T cell therapy research (2 papers), Kruppel-like factors research (1 paper), Nanowire Synthesis and Applications (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Hematology (426 citations), Oncology (701 citations), Molecular Biology (1.5k citations), Immunology (53 citations) and Cell Biology (41 citations). Blake E. Smith has collaborated with scholars based in United States, Singapore and Sweden. Frequent co-authors include Jing Wang, Saul Jaime‐Figueroa, Craig M. Crews, Brian D. Hamman, George M. Burslem, Daniel P. Bondeson, John Hines, Alexandru D. Buhimschi, Alexey Ishchenko and Stephen L. Wang. Their work appears in journals such as Cell chemical biology, Nature Methods, Cell Systems, Acta Biomaterialia and Cancer Research.
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.