Michelle Blake

956 total citations
11 papers, 670 citations indexed

About

Michelle Blake is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Michelle Blake has authored 11 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Hematology. Recurrent topics in Michelle Blake's work include Bone health and treatments (4 papers), CAR-T cell therapy research (4 papers) and Bone Metabolism and Diseases (4 papers). Michelle Blake is often cited by papers focused on Bone health and treatments (4 papers), CAR-T cell therapy research (4 papers) and Bone Metabolism and Diseases (4 papers). Michelle Blake collaborates with scholars based in United States, South Africa and Canada. Michelle Blake's co-authors include Mark Tometsko, William C. Dougall, Jon C. Jones, Robert E. Miller, Jeremy Travins, Sung Choe, Everton Mandley, Kaiko Kunii, Andrew Kernytsky and Marion Dorsch and has published in prestigious journals such as Blood, Cancer Research and Cell Reports.

In The Last Decade

Michelle Blake

10 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Blake United States 8 442 410 107 86 86 11 670
Lida Pacaud United States 12 245 0.6× 520 1.3× 113 1.1× 63 0.7× 45 0.5× 56 621
Caner Saygin United States 10 426 1.0× 337 0.8× 156 1.5× 49 0.6× 181 2.1× 27 767
Linus Angenendt Germany 11 173 0.4× 204 0.5× 104 1.0× 31 0.4× 44 0.5× 29 404
Sreeni Yalamanchili United States 8 266 0.6× 440 1.1× 64 0.6× 23 0.3× 29 0.3× 17 634
Sergey Karakashev United States 10 636 1.4× 270 0.7× 24 0.2× 25 0.3× 203 2.4× 16 778
Shovik Bandyopadhyay United States 10 300 0.7× 174 0.4× 67 0.6× 51 0.6× 221 2.6× 17 589
Cory Mavis United States 16 441 1.0× 285 0.7× 77 0.7× 21 0.2× 77 0.9× 74 754
Austin Dulak United States 11 440 1.0× 162 0.4× 57 0.5× 22 0.3× 256 3.0× 16 675
Hongbing Shi China 12 159 0.4× 321 0.8× 30 0.3× 63 0.7× 89 1.0× 25 626
Heather Kostner United States 7 263 0.6× 413 1.0× 107 1.0× 27 0.3× 35 0.4× 12 624

Countries citing papers authored by Michelle Blake

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Blake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Blake

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

All Works

11 of 11 papers shown
1.
Kohli, Michele, et al.. (2025). The potential impact of the next-generation COVID-19 mRNA-1283 vaccine in Canada. Journal of Medical Economics. 28(1). 1440–1450. 2 indexed citations
3.
Green, Damian J., Margot J. Pont, Andrew J. Cowan, et al.. (2019). Response to Bcma CAR-T Cells Correlates with Pretreatment Target Antigen Density and Is Improved By Small Molecule Inhibition of Gamma Secretase. Blood. 134(Supplement_1). 1856–1856. 22 indexed citations
4.
5.
Mailankody, Sham, Myo Htut, Kelvin P. Lee, et al.. (2018). JCARH125, Anti-BCMA CAR T-cell Therapy for Relapsed/Refractory Multiple Myeloma: Initial Proof of Concept Results from a Phase 1/2 Multicenter Study (EVOLVE). Blood. 132(Supplement 1). 957–957. 88 indexed citations
6.
Green, Damian J., Margot J. Pont, Blythe Sather, et al.. (2018). Fully Human Bcma Targeted Chimeric Antigen Receptor T Cells Administered in a Defined Composition Demonstrate Potency at Low Doses in Advanced Stage High Risk Multiple Myeloma. Blood. 132(Supplement 1). 1011–1011. 101 indexed citations
7.
Marjon, Katya, Michael J. Cameron, Phong Quang, et al.. (2016). MTAP Deletions in Cancer Create Vulnerability to Targeting of the MAT2A/PRMT5/RIOK1 Axis. Cell Reports. 15(3). 574–587. 280 indexed citations
8.
Branstetter, Daniel, Kathy Rohrbach, Liya Huang, et al.. (2015). RANK and RANK ligand expression in primary human osteosarcoma. Journal of bone oncology. 4(3). 59–68. 41 indexed citations
9.
Miller, Robert E., Jon C. Jones, Mark Tometsko, Michelle Blake, & William C. Dougall. (2014). RANKL Inhibition Blocks Osteolytic Lesions and Reduces Skeletal Tumor Burden in Models of Non–Small-Cell Lung Cancer Bone Metastases. Journal of Thoracic Oncology. 9(3). 345–354. 33 indexed citations
10.
Blake, Michelle, Mark Tometsko, Robert E. Miller, Jon C. Jones, & William C. Dougall. (2013). RANK expression on breast cancer cells promotes skeletal metastasis. Clinical & Experimental Metastasis. 31(2). 233–245. 49 indexed citations
11.
Jacob, Allison P., Daniel Branstetter, Kathy Rohrbach, et al.. (2011). P3-01-14: RANK and RANK Ligand (RANKL) Expression in Invasive Breast Carcinoma and Human Breast Cancer Cell Lines.. Cancer Research. 71(24_Supplement). P3–1. 4 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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