Aleata A. Triplett

1.8k citations
34 papers · 1.4k indexed · h-index 22
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions 10
    • Cancer Cells and Metastasis 7
    • Cancer-related Molecular Pathways 5
    • Epigenetics and DNA Methylation 4
    • PI3K/AKT/mTOR signaling in cancer 4
    • Ubiquitin and proteasome pathways 4
    • Cancer-related gene regulation 4
  • Cell Biology top 10%
  • Genetics top 10%
    • Virus-based gene therapy research 3

Aleata A. Triplett

33 papers receiving 1.4k citations

Peers

Aleata A. Triplett
Comparison fields: 5 of 92
  • Oncology 724
  • Cancer Research 207
  • Molecular Biology 728
  • Cell Biology 154
  • Genetics 218
Replace Ignacio García‐Tuñón with:
Ignacio García‐Tuñón Spain
Jenean O’Brien United States
Larbi Amazit France
Akira Inomata Japan
Nilamani Jena United States
Romaine I. Fernando United States
Heidi L. Kenerson United States
H P Koeffler United States
Tomoko Hashimoto-Tamaoki Japan
Christine Huard United States
Aleata A. Triplett relative to Ignacio García‐Tuñón Spain Ignacio García‐Tuñón's profile →
Citations per field
00.5×1.5×1.9×
Ignacio García‐Tuñón · 1×
Citations per year

Countries citing papers authored by Aleata A. Triplett

Since Specialization
Citations

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

Fields of papers citing papers by Aleata A. Triplett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aleata A. Triplett. 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 Aleata A. Triplett. The network helps show where Aleata A. Triplett may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20242
3 202130
4 20204
5 201454
6 20144
7 201360
8 20134
9 201131
10 200931
11 200917
12 200810
13 200687
14 200549
15 200534
16 2004101
17 2004160
18 200454
19 200478
20 200343

About Aleata A. Triplett

Aleata A. Triplett is a scholar working on Oncology, Cancer Research and Immunology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (10 papers), Cancer Cells and Metastasis (7 papers), Cancer-related Molecular Pathways (5 papers), Epigenetics and DNA Methylation (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related gene regulation (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Oncology (724 citations), Cancer Research (207 citations) and Molecular Biology (728 citations). Aleata A. Triplett has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Kay‐Uwe Wagner, Andrea Krempler, Kazuhito Sakamoto, Yongyue Qi, Hallgeir Rui, Jianqiong Zhu, Gilbert H. Smith, Nicholas M. George, Richard H. Finnell and Keon Bong Oh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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