David Sekula

1.4k citations
25 papers · 1.1k indexed · h-index 18
  • Oncology top 10%
    • Cancer-related Molecular Pathways 13
    • Ubiquitin and proteasome pathways 13
    • Retinoids in leukemia and cellular processes 12
    • Hedgehog Signaling Pathway Studies 3
    • Epigenetics and DNA Methylation 3
    • Protein Degradation and Inhibitors 3
  • Biochemistry top 10%
    • interferon and immune responses 3
    • Microtubule and mitosis dynamics 3

David Sekula

25 papers receiving 1.1k citations

Peers

David Sekula
Comparison fields: 5 of 75
  • Oncology 440
  • Molecular Biology 850
  • Biochemistry 68
  • Cancer Research 163
  • Immunology 213
Replace Nonggao He with:
Nonggao He United States
Gabriela Paroni Italy
Ramon Chua United States
Mirjam T. Epping Netherlands
Chanyu Yue United States
Xiao-Feng Le United States
M. J. Birrer United States
Alex R. Shoemaker United States
Hisato Gunji United States
Barbara Nicke Germany
David Sekula relative to Nonggao He United States Nonggao He's profile →
Citations per field
00.5×2.6×
Nonggao He · 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-authorship network

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
#Work
1 201636
2 201643
3 201518
4 201515
5 20151
6 201431
7 201410
8 20132
9 201236
10 201216
11 20111
12 201052
13 200873
14 200728
15 200736
16 20061
17 200147
18 199984
19 1999142
20 199830

About David Sekula

David Sekula is a scholar working on Oncology, Molecular Biology, Physiology, Immunology and Cell Biology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), Cancer-related Molecular Pathways (13 papers), Retinoids in leukemia and cellular processes (12 papers), interferon and immune responses (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Epigenetics and DNA Methylation (3 papers), Microtubule and mitosis dynamics (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Oncology (440 citations), Molecular Biology (850 citations), Biochemistry (68 citations), Cancer Research (163 citations) and Immunology (213 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, Cancer Biology & Therapy and International Journal of Oncology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026