Deanna Tiek

1.1k total citations · 1 hit paper
18 papers, 597 citations indexed

About

Deanna Tiek is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Deanna Tiek has authored 18 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Deanna Tiek's work include Glioma Diagnosis and Treatment (5 papers), Estrogen and related hormone effects (3 papers) and Cancer Genomics and Diagnostics (3 papers). Deanna Tiek is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Estrogen and related hormone effects (3 papers) and Cancer Genomics and Diagnostics (3 papers). Deanna Tiek collaborates with scholars based in United States, Germany and Brazil. Deanna Tiek's co-authors include Shi‐Yuan Cheng, Bo Hu, Anshika Goenka, Xiao Song, Tianzhi Huang, Bingli Wu, Dandan Xu, Namratha Sastry, Rebecca B. Riggins and Shailaja D. Divekar and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Genome biology.

In The Last Decade

Deanna Tiek

15 papers receiving 595 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Stem cell programs in cancer initiation, progression, and therapy resistance

2020 318 citations Tianzhi Huang, Xiao Song et al. Theranostics profile →

Peers

Deanna Tiek

ONCOL

GENET

IMMUN

Anshika Goenka United States

Parvinder Hothi United States

Seok Won Ham South Korea

Amar Desai United States

Dorine Bellanger France

Bharathi Gorantla United States

Margarite D. Matossian United States

Ki-Chun Yoo South Korea

Sang Kyun Lim United States

Swathi V. Iyer United States

Anshika Goenka United States

Deanna Tiek

409 ×1.2

235 ×1.1

228 ×1.2

ONCOL

74 ×0.8

GENET

123 ×1.6

IMMUN

Citations per year, relative to Deanna Tiek Deanna Tiek (= 1×) peers Anshika Goenka

Countries citing papers authored by Deanna Tiek

Since Specialization

Citations

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

Fields of papers citing papers by Deanna Tiek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deanna Tiek

This figure shows the co-authorship network connecting the top 25 collaborators of Deanna Tiek. A scholar is included among the top collaborators of Deanna Tiek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deanna Tiek. Deanna Tiek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Wu, Runxin, Shubin Yu, Aiwei Bi, et al.. (2025). Therapeutic targeting of circTNK2 with nanoparticles restores tamoxifen sensitivity and enhances NK cell-mediated immunity in ER-positive breast cancer. Cancer Letters. 627. 217823–217823. 2 indexed citations

Yu, Xiaozhou, Xiao Song, Deanna Tiek, et al.. (2025). Targeting PDGFRA-SHP2 signaling enhances radiotherapy in IDH1-mutant glioma. Neuro-Oncology. 27(8). 2023–2034.

Tiek, Deanna, Xiao Song, Xiaozhou Yu, et al.. (2025). Oxidative stress induced protein aggregation via GGCT produced pyroglutamic acid in drug resistant glioblastoma. iScience. 28(2). 111769–111769.

Song, Xiao, Deanna Tiek, Minghui Lu, et al.. (2025). A single-cell atlas of RNA alternative splicing in the glioma-immune ecosystem. Genome biology. 26(1). 426–426.

Tiek, Deanna, Xiao Song, Runxin Wu, et al.. (2024). TMET-31. OXIDATIVE STRESS INDUCED PROTEIN AGGREGATION VIA GGCT PRODUCED PYROGLUTAMIC ACID IN DRUG RESISTANT GLIOBLASTOMA. Neuro-Oncology. 26(Supplement_8). viii295–viii295. 1 indexed citations

Tiek, Deanna, Carrow I. Wells, Martin Schröder, et al.. (2023). SGC-CLK-1: A chemical probe for the Cdc2-like kinases CLK1, CLK2, and CLK4. PubMed. 3. 100045–100045. 1 indexed citations

Goenka, Anshika, Xiao Song, Deanna Tiek, et al.. (2023). Oncogenic long noncoding RNA LINC02283 enhances PDGF receptor A-mediated signaling and drives glioblastoma tumorigenesis. Neuro-Oncology. 25(9). 1592–1604. 9 indexed citations

Cheng, Shi‐Yuan, Deanna Tiek, Derek R. Duckett, et al.. (2023). CDK7 and CDK9 inhibition interferes with transcription, translation, and stemness, and induces cytotoxicity in GBM irrespective of temozolomide sensitivity. Neuro-Oncology. 26(1). 70–84. 9 indexed citations

Tiek, Deanna & Shi‐Yuan Cheng. (2022). DNA damage and metabolic mechanisms of cancer drug resistance. Cancer Drug Resistance. 5(2). 368–379. 29 indexed citations

10.

Goenka, Anshika, Deanna Tiek, Xiao Song, et al.. (2022). The Role of Non-Coding RNAs in Glioma. Biomedicines. 10(8). 2031–2031. 21 indexed citations

11.

Iglesia, Rebeca Piatniczka, Deanna Tiek, Anshika Goenka, et al.. (2022). Unconventional Protein Secretion in Brain Tumors Biology: Enlightening the Mechanisms for Tumor Survival and Progression. Frontiers in Cell and Developmental Biology. 10. 907423–907423. 6 indexed citations

12.

Goenka, Anshika, Deanna Tiek, Xiao Song, et al.. (2021). The Many Facets of Therapy Resistance and Tumor Recurrence in Glioblastoma. Cells. 10(3). 484–484. 103 indexed citations

13.

Huang, Tianzhi, Xiao Song, Dandan Xu, et al.. (2020). Stem cell programs in cancer initiation, progression, and therapy resistance. Theranostics. 10(19). 8721–8743. 318 indexed citations breakdown →

14.

Tiek, Deanna, Subreen A. Khatib, Shailaja D. Divekar, et al.. (2019). Estrogen‐related receptor β activation and isoform shifting by cdc2‐like kinase inhibition restricts migration and intracranial tumor growth in glioblastoma. The FASEB Journal. 33(12). 13476–13491. 18 indexed citations

15.

Tiek, Deanna, Janice D. Rone, Garrett T. Graham, et al.. (2018). Alterations in Cell Motility, Proliferation, and Metabolism in Novel Models of Acquired Temozolomide Resistant Glioblastoma. Scientific Reports. 8(1). 7222–7222. 32 indexed citations

16.

Issa, Naiem T., Aileen I. Fernandez, Deanna Tiek, et al.. (2017). Differential prioritization of therapies to subtypes of triple negative breast cancer using a systems medicine method. Oncotarget. 8(54). 92926–92942. 6 indexed citations

17.

Divekar, Shailaja D., Deanna Tiek, Aileen I. Fernandez, & Rebecca B. Riggins. (2016). Estrogen-related Receptor β (ERRβ) – Renaissance Receptor or Receptor Renaissance?. PubMed. 14(1). e002–e002. 29 indexed citations

18.

Divekar, Shailaja D., Aileen I. Fernandez, Deanna Tiek, et al.. (2016). Antimitotic activity of DY131 and the estrogen-related receptor beta 2 (ERRβ2) splice variant in breast cancer. Oncotarget. 7(30). 47201–47220. 13 indexed citations

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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