David Sekula

1.4k citations
26 papers · 1.2k · h-index 18

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
  • Biochemistry top 10%
    • Antioxidant Activity and Oxidative Stress

Papers in

    • Ubiquitin and proteasome pathways 12
    • Retinoids in leukemia and cellular processes 12
    • Epigenetics and DNA Methylation 3
    • Protein Degradation and Inhibitors 3
    • Hedgehog Signaling Pathway Studies 3
    • Cancer-related Molecular Pathways 11

David Sekula

26 papers receiving 1.1k citations

Peers

David Sekula
Comparison fields: 5 of 73
  • Oncology 387
  • Biochemistry 76
  • Molecular Biology 820
  • Cancer Research 148
  • Immunology 207
Replace Alex R. Shoemaker with:
Alex R. Shoemaker United States
Dominique Bonnier France
Xiao-Feng Le United States
Wan-Ching Yen United States
Nonggao He United States
Hisato Gunji United States
M. J. Birrer United States
Charles R. Holst United States
Federica Brugnoli Italy
Shi-Yong Sun United States
David Sekula relative to Alex R. Shoemaker United States Alex R. Shoemaker's profile →
Citations per field
00.5×1.5×2.1×
Alex R. Shoemaker · 1×
Citations per year

Countries citing papers authored by David Sekula

Since Specialization
Citations

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

Fields of papers citing papers by David Sekula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997176
2 1999144
3 200294
4 199988
5
Evidence for the epidermal growth factor receptor as a target for lung cancer prevention.
200287
6 200875
7 201054
8 200454
9 200148
10 201643
11 201638
12 201237
13 200736
14 201432
15 199832
16 200529
17 200729
18 201518
19 201517
20 201216

About David Sekula

David Sekula is a scholar working on Molecular Biology, Oncology, Immunology, Cell Biology and Hematology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), Retinoids in leukemia and cellular processes (12 papers), Cancer-related Molecular Pathways (11 papers), interferon and immune responses (4 papers), Epigenetics and DNA Methylation (3 papers), Protein Degradation and Inhibitors (3 papers), Microtubule and mitosis dynamics (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). The work is most often cited by research in Oncology (387 citations), Biochemistry (76 citations), Molecular Biology (820 citations), Cancer Research (148 citations) and Immunology (207 citations). David Sekula has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ethan Dmitrovsky, Sarah J. Freemantle, John Langenfeld, Michael J. Spinella, Jay Boyle, Hiroaki Kiyokawa, Konstantin H. Dragnev, Qing Feng, Sutisak Kitareewan and Fulvio Lonardo. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Oncogene, International Journal of Oncology and Cancer Biology & Therapy.

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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