Blake A. Jacobson

1.2k total citations
42 papers, 985 citations indexed

About

Blake A. Jacobson is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Blake A. Jacobson has authored 42 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Oncology and 10 papers in Genetics. Recurrent topics in Blake A. Jacobson's work include PI3K/AKT/mTOR signaling in cancer (6 papers), RNA and protein synthesis mechanisms (6 papers) and RNA modifications and cancer (6 papers). Blake A. Jacobson is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (6 papers), RNA and protein synthesis mechanisms (6 papers) and RNA modifications and cancer (6 papers). Blake A. Jacobson collaborates with scholars based in United States, Canada and China. Blake A. Jacobson's co-authors include Robert A. Kratzke, Manish R. Patel, James R. Mickelson, Charles F. Louis, J A Fuchs, Michael Fill, Roberto Coronado, Yan Ji, Peter B. Bitterman and Lynn A. Litterer and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Biochemistry.

In The Last Decade

Blake A. Jacobson

40 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Blake A. Jacobson United States 18 684 218 217 126 110 42 985
Yuichiro Takagi United States 25 1.5k 2.2× 136 0.6× 91 0.4× 154 1.2× 99 0.9× 63 1.9k
Eleanor B. McGowan United States 12 335 0.5× 113 0.5× 52 0.2× 38 0.3× 64 0.6× 18 717
Yuanhui Huang United States 15 638 0.9× 86 0.4× 159 0.7× 13 0.1× 54 0.5× 22 923
Nathaniel Robichaud Canada 12 1.6k 2.3× 95 0.4× 266 1.2× 28 0.2× 91 0.8× 14 1.9k
Michael Teufel Germany 12 475 0.7× 54 0.2× 334 1.5× 28 0.2× 146 1.3× 37 1.2k
L Harel France 18 620 0.9× 157 0.7× 90 0.4× 66 0.5× 26 0.2× 69 949
Yoshihiro Yasui Japan 17 1.0k 1.5× 51 0.2× 287 1.3× 18 0.1× 69 0.6× 33 1.5k
Virneliz Fernández-Vega United States 15 460 0.7× 51 0.2× 155 0.7× 45 0.4× 16 0.1× 35 738
Ziyun Du United States 18 647 0.9× 54 0.2× 231 1.1× 21 0.2× 63 0.6× 28 1.0k
Tomáš Vomastek Czechia 19 674 1.0× 90 0.4× 139 0.6× 14 0.1× 91 0.8× 31 1.0k

Countries citing papers authored by Blake A. Jacobson

Since Specialization
Citations

This map shows the geographic impact of Blake A. Jacobson'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 A. Jacobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blake A. Jacobson more than expected).

Fields of papers citing papers by Blake A. Jacobson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Blake A. Jacobson. 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 A. Jacobson. The network helps show where Blake A. Jacobson may publish in the future.

Co-authorship network of co-authors of Blake A. Jacobson

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

All Works

20 of 20 papers shown
1.
2.
Yang, Libang, Adam Gilbertsen, Blake A. Jacobson, Robert A. Kratzke, & Craig A. Henke. (2024). Serum Splicing Factor Proline- and Glutamine-Rich Is a Diagnostic Marker for Non-Small-Cell Lung Cancer and Other Solid Cancers. International Journal of Molecular Sciences. 25(16). 8766–8766. 1 indexed citations
3.
Belhadj, Zakia, et al.. (2023). Cancer sensitizing effect of deazaflavin analogs is associated with increased intracellular drug accumulation. European Journal of Pharmaceutical Sciences. 193. 106686–106686. 1 indexed citations
4.
Yang, Libang, Adam Gilbertsen, Blake A. Jacobson, et al.. (2023). SFPQ and Its Isoform as Potential Biomarker for Non-Small-Cell Lung Cancer. International Journal of Molecular Sciences. 24(15). 12500–12500. 5 indexed citations
5.
Yang, Libang, Jianbo Yang, Blake A. Jacobson, et al.. (2022). SFPQ Promotes Lung Cancer Malignancy via Regulation of CD44 v6 Expression. Frontiers in Oncology. 12. 862250–862250. 8 indexed citations
6.
Patel, Manish R., Blake A. Jacobson, Yan Ji, Robert P. Hebbel, & Robert A. Kratzke. (2020). Blood Outgrowth Endothelial Cells as a Cellular Carrier for Oncolytic Vesicular Stomatitis Virus Expressing Interferon-β in Preclinical Models of Non-Small Cell Lung Cancer. Translational Oncology. 13(7). 100782–100782. 13 indexed citations
7.
8.
Patel, Manish R., et al.. (2019). JAK/STAT inhibition with ruxolitinib enhances oncolytic virotherapy in non-small cell lung cancer models. Cancer Gene Therapy. 26(11-12). 411–418. 77 indexed citations
9.
Jacobson, Blake A., Mark S. Peterson, Marian G. Kratzke, et al.. (2017). 4EGI-1 represses cap-dependent translation and regulates genome-wide translation in malignant pleural mesothelioma. Investigational New Drugs. 36(2). 217–229. 11 indexed citations
10.
Jacobson, Blake A., et al.. (2014). Small-molecule inhibition of oncogenic eukaryotic protein translation in mesothelioma cells. Investigational New Drugs. 32(4). 598–603. 22 indexed citations
11.
Jacobson, Blake A., Adam R. Benoit, Manish R. Patel, et al.. (2011). Novel acridine-based agents with topoisomerase II inhibitor activity suppress mesothelioma cell proliferation and induce apoptosis. Investigational New Drugs. 30(4). 1443–1448. 18 indexed citations
12.
Sadiq, Ahad A., Manish R. Patel, Blake A. Jacobson, et al.. (2009). Anti-proliferative effects of simocyclinone D8 (SD8), a novel catalytic inhibitor of topoisomerase II. Investigational New Drugs. 28(1). 20–25. 27 indexed citations
13.
Jacobson, Blake A., et al.. (2008). 4EGI-1 represses cap-dependent translation in malignant pleural mesothelioma. Cancer Research. 68. 163–163. 1 indexed citations
14.
Patel, Manish R., Blake A. Jacobson, Sandra Frizelle, et al.. (2007). Ras Pathway Activation in Malignant Mesothelioma. Journal of Thoracic Oncology. 2(9). 789–795. 28 indexed citations
15.
Whitson, Bryan A., Blake A. Jacobson, Sandra Frizelle, et al.. (2006). Effects of Insulin-Like Growth Factor-1 Receptor Inhibition in Mesothelioma. The Annals of Thoracic Surgery. 82(3). 996–1002. 17 indexed citations
16.
Dahlberg, Peter S., et al.. (2004). Gene expression profiles in esophageal adenocarcinoma. The Annals of Thoracic Surgery. 77(3). 1008–1015. 33 indexed citations
17.
Zheng, Yun‐Ling, et al.. (2001). High‐density allelotype of the commonly studied gastric cancer cell lines. Genes Chromosomes and Cancer. 32(1). 67–81. 2 indexed citations
18.
Jacobson, Blake A. & J A Fuchs. (1998). A 45 bp inverted repeat is required for cell cycle regulation of the Escherichia coli nrd operon. Molecular Microbiology. 28(6). 1307–1314. 12 indexed citations
19.
Fill, Michael, et al.. (1990). Abnormal ryanodine receptor channels in malignant hyperthermia. Biophysical Journal. 57(3). 471–475. 173 indexed citations
20.
Gleason, Florence K., et al.. (1988). Characterization of Escherichia coli-Anabaena sp. hybrid thioredoxins. Biochemistry. 27(5). 1401–1408. 17 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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