Blake E. Smith

2.4k total citations · 3 hit papers
8 papers, 1.6k citations indexed

About

Blake E. Smith is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Blake E. Smith has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Oncology. Recurrent topics in Blake E. Smith's work include Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Blake E. Smith is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Blake E. Smith collaborates with scholars based in United States, Singapore and Sweden. Blake E. Smith's co-authors include Craig M. Crews, Saul Jaime‐Figueroa, Jing Wang, Brian D. Hamman, Daniel P. Bondeson, George M. Burslem, John Hines, Alexey Ishchenko, Alexandru D. Buhimschi and Stephen L. Wang and has published in prestigious journals such as Nature Communications, Nature Methods and Cancer Research.

In The Last Decade

Blake E. Smith

7 papers receiving 1.5k citations

Hit Papers

Lessons in PROTAC Design from Selective Degradation with ... 2017 2026 2020 2023 2017 2017 2019 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Blake E. Smith United States 4 1.5k 684 423 53 51 8 1.6k
Morgan S. Gadd United Kingdom 11 1.7k 1.1× 686 1.0× 412 1.0× 66 1.2× 25 0.5× 14 1.8k
Slater N. Hurst United States 6 1.3k 0.9× 440 0.6× 672 1.6× 46 0.9× 157 3.1× 9 1.5k
Chad C. Bjorklund United States 17 1.4k 0.9× 609 0.9× 1.1k 2.6× 28 0.5× 137 2.7× 49 1.7k
Huahang Sun United States 2 1.0k 0.7× 335 0.5× 523 1.2× 35 0.7× 104 2.0× 2 1.1k
Dhanusha A. Nalawansha United States 10 892 0.6× 395 0.6× 134 0.3× 72 1.4× 29 0.6× 12 971
Derek Mendy United States 10 1.1k 0.8× 518 0.8× 771 1.8× 21 0.4× 129 2.5× 21 1.3k
Yan Ren China 12 841 0.6× 338 0.5× 588 1.4× 16 0.3× 114 2.2× 30 1.0k
Matthew A. Lawlor United States 11 1.0k 0.7× 268 0.4× 148 0.3× 26 0.5× 85 1.7× 21 1.2k
Emily Rychak Japan 6 969 0.7× 381 0.6× 669 1.6× 28 0.5× 85 1.7× 10 1.1k
Matthias Brand Germany 11 832 0.6× 379 0.6× 150 0.4× 48 0.9× 49 1.0× 29 977

Countries citing papers authored by Blake E. Smith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Blake E. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Blake E. Smith. A scholar is included among the top collaborators of Blake E. Smith 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 Blake E. Smith. Blake E. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Perez, Caleb R., Avlant Nilsson, Hratch Baghdassarian, et al.. (2025). Library-based single-cell analysis of CAR signaling reveals drivers of in vivo persistence. Cell Systems. 16(5). 101260–101260.
2.
Smith, Blake E., et al.. (2024). A biomaterial platform for T cell-specific gene delivery. Acta Biomaterialia. 177. 157–164. 3 indexed citations
3.
Gaglione, Stephanie, Blake E. Smith, Ellen J. Kim, et al.. (2022). Antigen identification and high-throughput interaction mapping by reprogramming viral entry. Nature Methods. 19(4). 449–460. 49 indexed citations
4.
Bondeson, Daniel P., Blake E. Smith, & Alexandru D. Buhimschi. (2021). An In Vitro Pull-down Assay of the E3 Ligase:PROTAC:Substrate Ternary Complex to Identify Effective PROTACs. Methods in molecular biology. 2365. 135–150. 2 indexed citations
5.
Smith, Blake E., Stephen L. Wang, Saul Jaime‐Figueroa, et al.. (2019). Differential PROTAC substrate specificity dictated by orientation of recruited E3 ligase. Nature Communications. 10(1). 131–131. 371 indexed citations breakdown →
6.
Burslem, George M., Blake E. Smith, Saul Jaime‐Figueroa, et al.. (2017). The Advantages of Targeted Protein Degradation Over Inhibition: An RTK Case Study. Cell chemical biology. 25(1). 67–77.e3. 488 indexed citations breakdown →
7.
Bondeson, Daniel P., Blake E. Smith, George M. Burslem, et al.. (2017). Lessons in PROTAC Design from Selective Degradation with a Promiscuous Warhead. Cell chemical biology. 25(1). 78–87.e5. 636 indexed citations breakdown →
8.
Sangodkar, Jaya, Neil S. Dhawan, Caroline Farrington, et al.. (2012). Abstract 1885: Targeting the FOXO1/KLF6 transcriptional network to modulate response to anti-EGFR based therapy. Cancer Research. 72(8_Supplement). 1885–1885. 1 indexed citations

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.

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