Jake Delmore

4.5k citations
32 papers · 967 · h-index 17

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • Cancer Cells and Metastasis

Papers in

    • Protein Degradation and Inhibitors 5
    • PI3K/AKT/mTOR signaling in cancer 5
    • Ubiquitin and proteasome pathways 5
    • Metabolism, Diabetes, and Cancer 3
    • Cancer therapeutics and mechanisms 3
    • Multiple Myeloma Research and Treatments 16

Jake Delmore

32 papers receiving 953 citations

Peers

Jake Delmore
Comparison fields: 5 of 75
  • Hematology 332
  • Oncology 367
  • Molecular Biology 614
  • Reproductive Medicine 58
  • Cancer Research 91
Replace Xiao-Feng Le with:
Xiao-Feng Le United States
Jeffrey D. Bray United States
Neil MacLean Canada
Pia Herrmann Germany
Hengrui Zhu United States
Stacey L. Hembruff United States
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Holly Edwards United States
Gennaro Colella Italy
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Jake Delmore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jake Delmore Line = papers co-authored together Jake Delmore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010236
2 2011122
3 2009105
4 201163
5 201356
6 201246
7
Mixed germ cell malignancy of the ovary concurrent with pregnancy.
199446
8 201236
9 201029
10 201227
11 200926
12 201124
13 201224
14 201124
15 200724
16
Parameters of differentiation and proliferation in adult granulosa cell tumors of the ovary.
200121
17 201818
18 20229
19 20079
20 20104

About Jake Delmore

Jake Delmore is a scholar working on Molecular Biology, Hematology, Oncology, Pathology and Forensic Medicine and Organic Chemistry, having authored 32 papers that have together received 967 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Protein Degradation and Inhibitors (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Ubiquitin and proteasome pathways (5 papers), Cancer Mechanisms and Therapy (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Cancer therapeutics and mechanisms (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Hematology (332 citations), Oncology (367 citations), Molecular Biology (614 citations), Reproductive Medicine (58 citations) and Cancer Research (91 citations). Jake Delmore has collaborated with scholars based in United States, Switzerland and Slovakia. Frequent 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. Their work appears in journals such as Blood, British Journal of Haematology, Molecular Cancer Therapeutics, Nature Medicine and The Journal of Clinical Endocrinology & Metabolism.

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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