Jake Delmore

4.5k total citations
32 papers, 967 citations indexed

About

Jake Delmore is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Jake Delmore has authored 32 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Hematology and 8 papers in Oncology. Recurrent topics in Jake Delmore's work include Multiple Myeloma Research and Treatments (16 papers), Protein Degradation and Inhibitors (5 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). Jake Delmore is often cited by papers focused on Multiple Myeloma Research and Treatments (16 papers), Protein Degradation and Inhibitors (5 papers) and PI3K/AKT/mTOR signaling in cancer (5 papers). Jake Delmore collaborates with scholars based in United States, Switzerland and Slovakia. Jake Delmore's co-authors include Constantine S. Mitsiades, Paul G. Richardson, Douglas W. McMillin, Kenneth C. Anderson, Joseph Negri, Steffen Klippel, Nikhil C. Munshi, Melissa Ooi, Nicholas Mitsiades and Robert Schlossman and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Jake Delmore

32 papers receiving 953 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jake Delmore United States 17 614 367 332 91 86 32 967
Xiao-Feng Le United States 21 910 1.5× 462 1.3× 132 0.4× 274 3.0× 111 1.3× 23 1.3k
Gennaro Colella Italy 16 800 1.3× 439 1.2× 106 0.3× 154 1.7× 107 1.2× 29 1.1k
Jeffrey D. Bray United States 12 441 0.7× 139 0.4× 95 0.3× 56 0.6× 150 1.7× 20 885
Neil MacLean Canada 17 588 1.0× 253 0.7× 167 0.5× 155 1.7× 92 1.1× 38 816
Cong Peng China 20 655 1.1× 215 0.6× 578 1.7× 139 1.5× 157 1.8× 51 1.3k
Kee Chuan Goh Singapore 16 596 1.0× 389 1.1× 119 0.4× 72 0.8× 197 2.3× 26 1.1k
Hengrui Zhu United States 14 895 1.5× 458 1.2× 103 0.3× 186 2.0× 262 3.0× 22 1.2k
Pia Herrmann Germany 18 665 1.1× 443 1.2× 152 0.5× 236 2.6× 175 2.0× 31 1.1k
Melissa Ooi Singapore 15 589 1.0× 280 0.8× 409 1.2× 64 0.7× 73 0.8× 75 848
Julia Kirshner United States 15 368 0.6× 379 1.0× 175 0.5× 97 1.1× 77 0.9× 30 848

Countries citing papers authored by Jake Delmore

Since Specialization
Citations

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

Fields of papers citing papers by Jake Delmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jake Delmore

This figure shows the co-authorship network connecting the top 25 collaborators of Jake Delmore. A scholar is included among the top collaborators of Jake Delmore 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 Jake Delmore. Jake Delmore 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.
Esquejo, Ryan M., Bina Albuquerque, Anna Sher, et al.. (2022). AMPK activation is sufficient to increase skeletal muscle glucose uptake and glycogen synthesis but is not required for contraction-mediated increases in glucose metabolism. Heliyon. 8(10). e11091–e11091. 9 indexed citations
3.
McMillin, Douglas W., Hannah M. Jacobs, Jake Delmore, et al.. (2012). Molecular and Cellular Effects of NEDD8-Activating Enzyme Inhibition in Myeloma. Molecular Cancer Therapeutics. 11(4). 942–951. 46 indexed citations
4.
McMillin, Douglas W., Jake Delmore, Joseph Negri, et al.. (2012). Compartment-specific bioluminescence imaging platform for the high-throughput evaluation of antitumor immune function. Blood. 119(15). e131–e138. 24 indexed citations
5.
Jakubı́ková, Jana, Sophia Adamia, Maria Kost‐Alimova, et al.. (2011). Lenalidomide targets clonogenic side population in multiple myeloma: pathophysiologic and clinical implications. Blood. 117(17). 4409–4419. 122 indexed citations
6.
Jakubı́ková, Jana, David Cervi, Melissa Ooi, et al.. (2011). Anti-tumor activity and signaling events triggered by the isothiocyanates, sulforaphane and phenethyl isothiocyanate, in multiple myeloma. Haematologica. 96(8). 1170–1179. 63 indexed citations
7.
McMillin, Douglas W., Jake Delmore, Joseph Negri, et al.. (2011). Molecular and cellular effects of multi‐targeted cyclin‐dependent kinase inhibition in myeloma: biological and clinical implications. British Journal of Haematology. 152(4). 420–432. 24 indexed citations
8.
Donk, Niels W.C.J. van de, Henk M. Lokhorst, Maarten E. Emmelot, et al.. (2011). Proteasome Inhibitors Sensitize Myeloma Cells to T Cell-Mediated Killing. Blood. 118(21). 1838–1838. 2 indexed citations
9.
McMillin, Douglas W., Jake Delmore, Joseph Negri, et al.. (2011). Microenvironmental Influence on Pre-Clinical Activity of Polo-Like Kinase Inhibition in Multiple Myeloma: Implications for Clinical Translation. PLoS ONE. 6(7). e20226–e20226. 24 indexed citations
10.
McMillin, Douglas W., Jake Delmore, Ellen Weisberg, et al.. (2010). Tumor cell-specific bioluminescence platform to identify stroma-induced changes to anticancer drug activity. Nature Medicine. 16(4). 483–489. 236 indexed citations
11.
McMillin, Douglas W., Zachary R. Hunter, Jake Delmore, et al.. (2010). Activity of the NEDD8-specific inhibitor MLN 4924 in multiple myeloma and Waldenström's macroglobulinemia, and effect on miRNA expression.. Journal of Clinical Oncology. 28(15_suppl). 8110–8110. 1 indexed citations
12.
McMillin, Douglas W., Melissa Ooi, Jake Delmore, et al.. (2009). Antimyeloma Activity of the Orally Bioavailable Dual Phosphatidylinositol 3-Kinase/Mammalian Target of Rapamycin Inhibitor NVP-BEZ235. Cancer Research. 69(14). 5835–5842. 105 indexed citations
13.
Negri, Joseph, Douglas W. McMillin, Jake Delmore, et al.. (2009). In vitro anti‐myeloma activity of the Aurora kinase inhibitor VE‐465. British Journal of Haematology. 147(5). 672–676. 26 indexed citations
14.
Ooi, Melissa, Robert O’Connor, Jana Jakubı́ková, et al.. (2009). The Interaction of Bortezomib with P-Gp, MRP-1 and BCRP Drug Transporters: Implications for Therapeutic Applications of Bortezomib in Advanced Multiple Myeloma and Other Neoplasias.. Blood. 114(22). 1729–1729. 1 indexed citations
17.
Ooi, Melissa, Douglas W. McMillin, Joseph Negri, et al.. (2008). The Antidiabetic Biguanide Metformin Induces Growth Arrest in Multiple Myeloma Cells in Vitro, overcoming the Effect of Stromal Cells. Blood. 112(11). 2652–2652. 2 indexed citations
18.
Mitsiades, Constantine S., Patrick Hayden, Vassiliki Kotoula, et al.. (2007). Bcl-2 Overexpression in Thyroid Carcinoma Cells Increases Sensitivity to Bcl-2 Homology 3 Domain Inhibition. The Journal of Clinical Endocrinology & Metabolism. 92(12). 4845–4852. 24 indexed citations
19.
McMillin, Douglas W., Joseph Negri, Jake Delmore, et al.. (2007). Anti-Myeloma Activity of the Dual Akt/p70S6K Inhibitor EXEL-6075.. Blood. 110(11). 649–649. 1 indexed citations
20.
McMillin, Douglas W., Joseph Negri, Jake Delmore, et al.. (2007). Activity of New Heat Shock Protein 90 (hsp90) Inhibitor NVP-AUY922 Against Myeloma Cells Sensitive and Resistant to Conventional Agents.. Blood. 110(11). 1587–1587. 9 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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