Mohammed Qutaish

599 total citations
18 papers, 422 citations indexed

About

Mohammed Qutaish is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Molecular Biology. According to data from OpenAlex, Mohammed Qutaish has authored 18 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Biophysics and 5 papers in Molecular Biology. Recurrent topics in Mohammed Qutaish's work include Cell Image Analysis Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). Mohammed Qutaish is often cited by papers focused on Cell Image Analysis Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (4 papers). Mohammed Qutaish collaborates with scholars based in United States and China. Mohammed Qutaish's co-authors include David L. Wilson, Zheng‐Rong Lu, Yiqiao Liu, Zhuxian Zhou, Zheng Han, Rebecca M. Schur, James P. Basilion, Susann M. Brady‐Kalnay, Susan M. Burden‐Gulley and Madhusudhana Gargesha and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and NeuroImage.

In The Last Decade

Mohammed Qutaish

17 papers receiving 416 citations

Peers

Mohammed Qutaish

RNMI

BIOMA

ONCOL

Réjean Lebel Canada

Bangwen Xie United Kingdom

Brooke Helfer United States

A. Wunder Germany

Jeffrey M. Gaudet Canada

Fanny Chapelin United States

Daniel R. Draney United States

Kathryn C. Partlow United States

Stephanie J. Blocker United States

Anikitos Garofalakis Greece

Réjean Lebel Canada

Mohammed Qutaish

125 ×0.9

113 ×0.8

125 ×1.3

RNMI

32 ×0.4

BIOMA

59 ×0.9

ONCOL

Citations per year, relative to Mohammed Qutaish Mohammed Qutaish (= 1×) peers Réjean Lebel

Countries citing papers authored by Mohammed Qutaish

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Qutaish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Qutaish

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Qutaish. A scholar is included among the top collaborators of Mohammed Qutaish 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 Mohammed Qutaish. Mohammed Qutaish 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

Maghsoudi, Omid Haji, Haojia Li, Lauren Brady, et al.. (2025). Effect of fusion of radiomic, pathomic, and clinical biomarkers on multi-scale tumor biology and OS stratification in HNSCC receiving standard of care (SOC).. Journal of Clinical Oncology. 43(16_suppl). 6046–6046.

Brady, Lauren, Eric A. Cohen, Leonid Roshkovan, et al.. (2024). Abstract 2587: Evaluating the potential of radiomics features to predict outcome to an antibody-drug conjugate therapy in non-small cell lung cancer patients. Cancer Research. 84(6_Supplement). 2587–2587. 1 indexed citations

Liu, Yiqiao, Madhusudhana Gargesha, Mohammed Qutaish, et al.. (2021). Quantitative analysis of metastatic breast cancer in mice using deep learning on cryo-image data. Scientific Reports. 11(1). 17527–17527. 10 indexed citations

Hardy, Larry W., Jenna M. Sullivan, Noel A. Powell, et al.. (2020). Functional deficit in hippocampal activity during fear extinction recall in the single prolonged-stress model of PTSD in male rats. Behavioural Brain Research. 396. 112902–112902. 5 indexed citations

Liu, Yiqiao, Madhu Gargesha, Mohammed Qutaish, et al.. (2020). Deep learning based multi-organ segmentation and metastases segmentation in whole mouse body and the cryo-imaging cancer imaging and therapy analysis platform (CITAP). 30–30. 6 indexed citations

Qutaish, Mohammed, Zhuxian Zhou, David Prabhu, et al.. (2018). Cryo-Imaging and Software Platform for Analysis of Molecular MR Imaging of Micrometastases. International Journal of Biomedical Imaging. 2018. 1–16. 10 indexed citations

Ilovich, Ohad, Mohammed Qutaish, Jacob Hesterman, et al.. (2018). Dual-Isotope Cryoimaging Quantitative Autoradiography: Investigating Antibody–Drug Conjugate Distribution and Payload Delivery Through Imaging. Journal of Nuclear Medicine. 59(9). 1461–1466. 16 indexed citations

Mota, Roberto, Matthew J. Campen, Matthew E. Cuellar, et al.. (2018). ¹¹¹In-DANBIRT In Vivo Molecular Imaging of Inflammatory Cells in Atherosclerosis. Contrast Media & Molecular Imaging. 2018. 1–10. 7 indexed citations

Liu, Yiqiao, Bo Zhou, Mohammed Qutaish, & David L. Wilson. (2016). Microscopic validation of whole mouse micro-metastatic tumor imaging agents using cryo-imaging and sliding organ image registration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9788. 97882L–97882L. 1 indexed citations

10.

Zhou, Zhuxian, Mohammed Qutaish, Zheng Han, et al.. (2015). MRI detection of breast cancer micrometastases with a fibronectin-targeting contrast agent. Nature Communications. 6(1). 7984–7984. 228 indexed citations

11.

Qutaish, Mohammed. (2014). CRYO-IMAGING ASSESSMENT OF IMAGING AGENT TARGETING TO DISPERSING AND METASTATIC TUMOR CELLS. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations

12.

Li, Xin, Mohammed Qutaish, L. Henry Goodnough, et al.. (2014). Lack of dystrophin results in abnormal cerebral diffusion and perfusion in vivo. NeuroImage. 102. 809–816. 22 indexed citations

13.

Burden‐Gulley, Susan M., Mohammed Qutaish, Mingqian Tan, et al.. (2012). Single cell molecular recognition of migrating and invading tumor cells using a targeted fluorescent probe to receptor PTPmu. International Journal of Cancer. 132(7). 1624–1632. 19 indexed citations

14.

Burden‐Gulley, Susan M., Mohammed Qutaish, Hong Lü, et al.. (2011). Novel Cryo-Imaging of the Glioma Tumor Microenvironment Reveals Migration and Dispersal Pathways in Vivid Three-Dimensional Detail. Cancer Research. 71(17). 5932–5940. 42 indexed citations

15.

Qutaish, Mohammed, Susan M. Burden‐Gulley, Hong Lu, et al.. (2011). Cryo-image Analysis of Tumor Cell Migration, Invasion, and Dispersal in a Mouse Xenograft Model of Human Glioblastoma Multiforme. Molecular Imaging and Biology. 14(5). 572–583. 21 indexed citations

16.

Wilson, David L., Madhusudhana Gargesha, Debashish Roy, et al.. (2011). Cryo-imaging of 70+GB mice: Image processing/visualization challenges and biotechnology applications. 330. 224–229. 3 indexed citations

17.

Gargesha, Madhusudhana, et al.. (2010). Visualization of color anatomy and molecular fluorescence in whole-mouse cryo-imaging. Computerized Medical Imaging and Graphics. 35(3). 195–205. 19 indexed citations

18.

Gargesha, Madhusudhana, et al.. (2009). Enhanced volume rendering techniques for high-resolution color cryo-imaging data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7262. 72622V–72622V. 11 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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