Deema Hussein

1.8k total citations
37 papers, 1.2k citations indexed

About

Deema Hussein is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Deema Hussein has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Genetics and 8 papers in Epidemiology. Recurrent topics in Deema Hussein's work include Glioma Diagnosis and Treatment (11 papers), Meningioma and schwannoma management (6 papers) and Microtubule and mitosis dynamics (5 papers). Deema Hussein is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Meningioma and schwannoma management (6 papers) and Microtubule and mitosis dynamics (5 papers). Deema Hussein collaborates with scholars based in Saudi Arabia, United Kingdom and United States. Deema Hussein's co-authors include Stephen S. Taylor, Sarah V. Holt, Victoria Johnson, Sarah Elderkin, Yunmei Wang, Christopher J. Morrow, Huanbiao Mo, Hans-Juergen Schulten, Guy Makin and Edward J. Estlin and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Cell Science.

In The Last Decade

Deema Hussein

35 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deema Hussein Saudi Arabia 15 858 568 255 180 140 37 1.2k
Michael DeRan United States 12 899 1.0× 800 1.4× 212 0.8× 150 0.8× 84 0.6× 13 1.5k
Dianhua Qiao United States 16 697 0.8× 312 0.5× 257 1.0× 175 1.0× 32 0.2× 25 1.0k
Manjari Dimri United States 23 1.1k 1.2× 209 0.4× 364 1.4× 232 1.3× 31 0.2× 35 1.4k
Zsolt Szíjgyártó United Kingdom 12 465 0.5× 215 0.4× 120 0.5× 86 0.5× 133 0.9× 24 866
Guangbo Liu China 11 606 0.7× 325 0.6× 129 0.5× 173 1.0× 26 0.2× 17 1.0k
Longchuan Chen United States 17 1.1k 1.2× 157 0.3× 420 1.6× 180 1.0× 55 0.4× 28 1.4k
Inken Wierstra Germany 13 989 1.2× 111 0.2× 205 0.8× 184 1.0× 62 0.4× 15 1.2k
Zeng‐Fu Shang China 23 988 1.2× 170 0.3× 333 1.3× 249 1.4× 30 0.2× 55 1.4k
Patrick L. Garcia United States 19 1.0k 1.2× 100 0.2× 390 1.5× 319 1.8× 192 1.4× 30 1.3k

Countries citing papers authored by Deema Hussein

Since Specialization
Citations

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

Fields of papers citing papers by Deema Hussein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deema Hussein

This figure shows the co-authorship network connecting the top 25 collaborators of Deema Hussein. A scholar is included among the top collaborators of Deema Hussein 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 Deema Hussein. Deema Hussein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
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Govindarajan, Sridhar, et al.. (2024). A comparative study of electrochemical stability and biocompatibility of TiN nanowires and thin films for neural-electrode application. Electrochimica Acta. 497. 144527–144527. 1 indexed citations
3.
4.
Hussein, Deema, Mohamad Saka, Saleh Baeesa, et al.. (2023). Structure-based virtual screening and molecular docking approaches to identify potential inhibitors against KIF2C to combat glioma. Journal of Biomolecular Structure and Dynamics. 42(24). 13816–13829. 4 indexed citations
5.
Al-Jawhari, Hala, Aisha A. Ganash, Shofarul Wustoni, et al.. (2023). Electrochemical Performance of Biocompatible TiC Films Deposited through Nonreactive RF Magnetron Sputtering for Neural Interfacing. ACS Biomaterials Science & Engineering. 10(1). 391–404. 2 indexed citations
6.
Hussein, Deema, Ashraf Dallol, Hans-Juergen Schulten, et al.. (2022). A paediatric dysembryoplastic neuroepithelial tumour (DNET) with deregulated stem cell markers: a case report. Translational Pediatrics. 11(6). 1040–1049. 2 indexed citations
7.
Hussein, Deema, Mohamad Saka, Chris Stride, et al.. (2021). The efficacy of interactive group psychoeducation for children with leukaemia: A randomised controlled trial. Patient Education and Counseling. 104(12). 3008–3015. 1 indexed citations
8.
Hindawi, Salwa, et al.. (2021). The impact of blood donation on blood counts and ferritin levels: A multi-center study from the Eastern Mediterranean region. Transfusion and Apheresis Science. 60(3). 103072–103072. 5 indexed citations
9.
Hussein, Deema, Ashraf Dallol, Hans-Juergen Schulten, et al.. (2020). Overlapping variants in the blood, tissues and cell lines for patients with intracranial meningiomas are predominant in stem cell-related genes. Heliyon. 6(11). e05632–e05632. 4 indexed citations
10.
Ahmed, Jawad, et al.. (2020). Role of ATP-Binding Cassette Transporter Proteins in CNS Tumors: Resistance- Based Perspectives and Clinical Updates. Current Pharmaceutical Design. 26(37). 4747–4763. 7 indexed citations
11.
12.
Schulten, Hans-Juergen & Deema Hussein. (2019). Array expression meta-analysis of cancer stem cell genes identifies upregulation of PODXL especially in DCC low expression meningiomas. PLoS ONE. 14(5). e0215452–e0215452. 6 indexed citations
13.
Saka, Mohamad, Mohammed Bangash, Saleh Baeesa, et al.. (2018). In situ characterization of stem cells-like biomarkers in meningiomas. Cancer Cell International. 18(1). 77–77. 21 indexed citations
14.
Baeesa, Saleh, Deema Hussein, Mohamad Bakhaidar, et al.. (2018). Malignant Transformation and Spine Metastasis of an Intracranial Grade I Meningioma: In Situ Immunofluorescence Analysis of Cancer Stem Cells Case Report and Literature Review. World Neurosurgery. 120. 274–289. 4 indexed citations
15.
Baeesa, Saleh, Adeel Chaudhary, Adel Abuzenadah, et al.. (2018). Public awareness of central nervous system tumors in the Kingdom of Saudi Arabia. Neurosciences. 23(3). 227–237. 2 indexed citations
16.
Khan, Ishaq, Saleh Baeesa, Mohammed Bangash, et al.. (2017). Pleomorphism and drug resistant cancer stem cells are characteristic of aggressive primary meningioma cell lines. Cancer Cell International. 17(1). 72–72. 29 indexed citations
17.
Khan, Ishaq, Najeeb Ullah, Deema Hussein, & Kulvinder Singh Saini. (2017). Current and emerging biomarkers in tumors of the central nervous system: Possible diagnostic, prognostic and therapeutic applications. Seminars in Cancer Biology. 52(Pt 1). 85–102. 32 indexed citations
18.
Al‐Ghafari, Ayat B., Lisa Storer, David J. Carrier, et al.. (2016). Long-term exposure to irinotecan reduces cell migration in glioma cells. Journal of Neuro-Oncology. 127(3). 455–462. 1 indexed citations
19.
Schulten, Hans-Juergen, Deema Hussein, Sajjad Karim, et al.. (2016). Microarray Expression Data Identify DCC as a Candidate Gene for Early Meningioma Progression. PLoS ONE. 11(4). e0153681–e0153681. 27 indexed citations
20.
Khan, Ishaq, Mohammed Bangash, Saleh Baeesa, et al.. (2015). Epidemiological Trends of Histopathologically WHO Classified CNS Tumors in Developing Countries: Systematic Review. Asian Pacific Journal of Cancer Prevention. 16(1). 205–216. 10 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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