Elsa R. Flores

9.0k citations
86 papers · 5.5k indexed · 2 hit papers · h-index 35
  • Oncology top 0.5%
    • Cancer-related Molecular Pathways 31
  • Biotechnology top 0.5%
    • Cancer Research and Treatments 10
    • MicroRNA in disease regulation 8
    • Cancer, Hypoxia, and Metabolism 7
    • Epigenetics and DNA Methylation 19
    • RNA modifications and cancer 15
    • RNA Research and Splicing 6
  • Immunology top 5%
    • Virus-based gene therapy research 6

Elsa R. Flores

82 papers receiving 5.4k citations

Hit Papers

p63 and p73 are required for p53-dependent apoptosis in r...6512000202620082017200400600

Peers

Elsa R. Flores
Comparison fields: 5 of 117
  • Oncology 2.8k
  • Biotechnology 688
  • Cancer Research 1.1k
  • Molecular Biology 3.9k
  • Immunology 582
Replace Matthias Dobbelstein with:
Matthias Dobbelstein Germany
Doron Ginsberg Israel
Brigitte M. Pützer Germany
Christine M. Eischen United States
Luís Teixeira da Costa Portugal
Jiří Lukáš Denmark
Fiamma Mantovani Italy
Ralph Meuwissen Netherlands
Kent W. Hunter United States
Yoshihiko Hirohashi Japan
Elsa R. Flores relative to Matthias Dobbelstein Germany Matthias Dobbelstein's profile →
Citations per field
00.5×1.5×
Matthias Dobbelstein · 1×
Citations per year

Countries citing papers authored by Elsa R. Flores

Since Specialization
Citations

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

Fields of papers citing papers by Elsa R. Flores

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elsa R. Flores. 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 Elsa R. Flores. The network helps show where Elsa R. Flores may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20245
4 20244
5 20233
6 202320
7 20218
8 202021
9 202025
10 202015
11 20205
12 201939
13 201861
14 201838
15 201723
16 201718
17 201719
18 20166
19 201337
20 2010351

About Elsa R. Flores

Elsa R. Flores is a scholar working on Cancer Research, Oncology and Biotechnology, having authored 86 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (31 papers), Epigenetics and DNA Methylation (19 papers), RNA modifications and cancer (15 papers), Cancer Research and Treatments (10 papers), MicroRNA in disease regulation (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Virus-based gene therapy research (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Oncology (2.8k citations), Biotechnology (688 citations) and Cancer Research (1.1k citations). Elsa R. Flores has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Tyler Jacks, Kenneth Y. Tsai, Paul F. Lambert, Annie Yang, Frank McKeon, Shomit Sengupta, Denise Crowley, Xiaohua Su, Deepavali Chakravarti and R. James Matthews. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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