D End

18 papers receiving 1.2k citations

Peers

D End
Comparison fields: 5 of 83
  • Oncology 401
  • Cancer Research 173
  • Molecular Biology 744
  • Hematology 108
  • Genetics 100
Replace David W. End with:
David W. End United States
Richard I. Feldman United States
Hong Chang United States
Jacqueline S. Biscardi United States
Martin A. Broome United States
Kelli Glenn United States
Jeffrey D. Bjorge Canada
Ron de Jong United States
Patrick A. Plé United Kingdom
Alastair J. King United States
D End relative to David W. End United States David W. End's profile →
Citations per field
00.5×2.8×
David W. End · 1×
Citations per year

Countries citing papers authored by D End

Since Specialization
Citations

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

Fields of papers citing papers by D End

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1981233
2 2000218
3 2007209
4 2004110
5
Preclinical antitumor activity and pharmacodynamic studies with the farnesyl protein transferase inhibitor R115777 in human breast cancer.
200179
6 200277
7
The farnesyltransferase inhibitor R115777 reduces hypoxia and matrix metalloproteinase 2 expression in human glioma xenograft.
200360
8 198350
9 199241
10 200522
11 198222
12 200820
13 200518
14 197718
15 198016
16 198116
17 19859
18
Characterization of a high affinity interleukin-1 (IL-1) specific binding site in a human synovial sarcoma (Hs431) cell line.
19903

About D End

D End is a scholar working on Behavioral Neuroscience, Cell Biology, Oncology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Cancer Treatment and Pharmacology (2 papers), Nerve injury and regeneration (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Platelet Disorders and Treatments (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Oncology (401 citations), Cancer Research (173 citations), Molecular Biology (744 citations), Hematology (108 citations) and Genetics (100 citations). D End has collaborated with scholars based in United States, Belgium and Cameroon. Frequent co-authors include Gordon Guroff, Karen Huff, Christine Toulas, Caroline Delmas, Gilles Favre, Elizabeth Cohen–Jonathan, Seiichi Hashimoto, N. Tolson, Marc Venet and Patrick Angibaud. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology, European Journal of Organic Chemistry, Journal of Clinical Oncology and Clinical Pharmacology & 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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