Verlene Henry

2.8k citations
17 papers · 1.2k · h-index 14

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
  • Immunology top 5%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • PI3K/AKT/mTOR signaling in cancer 1
    • Angiogenesis and VEGF in Cancer 1
    • Ubiquitin and proteasome pathways 1
    • Protein Degradation and Inhibitors 1
    • CAR-T cell therapy research 3

Verlene Henry

17 papers receiving 1.2k citations

Peers

Verlene Henry
Comparison fields: 5 of 70
  • Genetics 400
  • Immunology 415
  • Cancer Research 242
  • Oncology 428
  • Neurology 96
Replace Rikke Rasmussen with:
Rikke Rasmussen Denmark
Garima Yagnik United States
Tyler Alban United States
Menggui Huang United States
Horacio Soto United States
David Yang United States
Al Charest United States
Yasuharu Akasaki Japan
Daniela Marubbi Italy
Amanda Katz United States
Verlene Henry relative to Rikke Rasmussen Denmark Rikke Rasmussen's profile →
Citations per field
00.5×1.5×
Rikke Rasmussen · 1×
Citations per year

Countries citing papers authored by Verlene Henry

Since Specialization
Citations

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

Fields of papers citing papers by Verlene Henry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2019253
2 2013238
3 2010231
4 2013160
5 201653
6 202051
7 201943
8 201633
9 201932
10 200529
11 201729
12 201528
13 201925
14 201816
15
Depletion of CLK2 sensitizes glioma stem-like cells to PI3K/mTOR and FGFR inhibitors.
20208
16 20182
17 20171

About Verlene Henry

Verlene Henry is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Genetics, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Virus-based gene therapy research (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Ubiquitin and proteasome pathways (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Immunotherapy and Immune Responses (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Genetics (400 citations), Immunology (415 citations), Cancer Research (242 citations), Oncology (428 citations) and Neurology (96 citations). Verlene Henry has collaborated with scholars based in United States and Spain. Frequent co-authors include Yuji Piao, Ji Liang, Lindsay Holmes, John F. de Groot, Ningyi Tiao, Gregory N. Fuller, Erik P. Sulman, Amy B. Heimberger, Frederick F. Lang and Ganesh Rao. Their work appears in journals such as Neuro-Oncology, Clinical Cancer Research, Oncotarget, Cancer Research and Journal of Neuro-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.

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