David Blake

1.2k citations
33 papers · 843 · h-index 12

Impact in

Papers in

    • Cancer-related Molecular Pathways 13
    • PARP inhibition in cancer therapy 3
    • Protein Degradation and Inhibitors 3

David Blake

30 papers receiving 825 citations

Peers

David Blake
Comparison fields: 5 of 89
  • Biochemistry 112
  • Oncology 348
  • Molecular Biology 489
  • Cell Biology 109
  • Genetics 61
Replace James W. Darnowski with:
James W. Darnowski United States
Yanqi He China
Beverly A. Teicher United States
Diane K. Luci United States
Wen‐Ying Lee Taiwan
Henrik Lövborg Sweden
Min Du United States
Myles Astor United States
J.R. Bertino United States
Lela Buckingham United States
David Blake relative to James W. Darnowski United States James W. Darnowski's profile →
Citations per field
00.5×3.6×
James W. Darnowski · 1×
Citations per year

Countries citing papers authored by David Blake

Since Specialization
Citations

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

Fields of papers citing papers by David Blake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Blake, 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 David Blake Line = papers co-authored together David Blake links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002306
2 1997103
3 200071
4 202064
5 199951
6 201937
7 201129
8 201027
9 199522
10 202220
11 199916
12 199913
13 201811
14 200811
15 201810
16 201610
17 20128
18 20156
19 20205
20 20134

About David Blake

David Blake is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Cell Biology, having authored 33 papers that have together received 843 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (13 papers), Advanced Breast Cancer Therapies (10 papers), Chronic Lymphocytic Leukemia Research (5 papers), Acute Myeloid Leukemia Research (4 papers), Sulfur Compounds in Biology (4 papers), Microtubule and mitosis dynamics (4 papers), Protein Degradation and Inhibitors (3 papers) and PARP inhibition in cancer therapy (3 papers). The work is most often cited by research in Biochemistry (112 citations), Oncology (348 citations), Molecular Biology (489 citations), Cell Biology (109 citations) and Genetics (61 citations). David Blake has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Daniella Zheleva, Peter M. Fischer, David P. Lane, Nikolai Zhelev, Shudong Wang, Steven J. McClue, Jean Melville, Angela Cowan, Rosemary G. Clarke and Lesley I. McLellan. Their work appears in journals such as Cancer Research, Biochemical Journal, Journal of Clinical Oncology, Blood and Molecular Cancer Therapeutics.

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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