Masumeh Hatami

552 total citations
19 papers, 386 citations indexed

About

Masumeh Hatami is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Masumeh Hatami has authored 19 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Masumeh Hatami's work include Glioma Diagnosis and Treatment (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Masumeh Hatami is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Masumeh Hatami collaborates with scholars based in United States, Iran and Switzerland. Masumeh Hatami's co-authors include Farzad Hadaegh, Fereidoun Azizi, Maryam Tohidi, Rivka R. Colen, Navid Saadat, Parvin Sarbakhsh, Gita Shafiee, Pascal O. Zinn, Markus M. Luedi and Hadi Harati and has published in prestigious journals such as Blood, Neurology and Clinical Cancer Research.

In The Last Decade

Masumeh Hatami

17 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masumeh Hatami United States 10 130 110 91 83 74 19 386
Diana Ly United States 6 63 0.5× 137 1.2× 24 0.3× 22 0.3× 79 1.1× 6 385
Christoph Waldeyer Germany 14 45 0.3× 36 0.3× 74 0.8× 243 2.9× 63 0.9× 46 543
Senlin Yin China 14 99 0.8× 185 1.7× 11 0.1× 37 0.4× 105 1.4× 32 396
Almudena López‐Sampalo Spain 12 74 0.6× 59 0.5× 10 0.1× 35 0.4× 27 0.4× 29 360
Dong‐Hyuk Park South Korea 11 33 0.3× 48 0.4× 30 0.3× 51 0.6× 42 0.6× 38 274
Yafeng Zhou China 12 23 0.2× 75 0.7× 29 0.3× 175 2.1× 32 0.4× 43 420
William J. Vicic United States 9 93 0.7× 109 1.0× 12 0.1× 107 1.3× 31 0.4× 12 606
Johannes M.I.H. Gho Netherlands 13 30 0.2× 21 0.2× 103 1.1× 307 3.7× 41 0.6× 17 487
Maria Kalantzi Greece 9 67 0.5× 19 0.2× 222 2.4× 355 4.3× 105 1.4× 24 536

Countries citing papers authored by Masumeh Hatami

Since Specialization
Citations

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

Fields of papers citing papers by Masumeh Hatami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masumeh Hatami

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

All Works

19 of 19 papers shown
1.
2.
Hatami, Masumeh, et al.. (2019). Assessment and Reduction of Unnecessary Thrombophilia Testing in Patients 18-60 Years with Acute Cryptogenic Ischemic Stroke. Blood. 134(Supplement_1). 3397–3397. 1 indexed citations
3.
Keser, Zafer, et al.. (2019). Empowering residents to enhance Medical Students’ Education during their Neurology Clerkship (P2.9-030). Neurology. 92(15_supplement). 1 indexed citations
4.
Luedi, Markus M., Sanjay K. Singh, Islam Hassan, et al.. (2018). Dexamethasone-mediated oncogenicity in vitro and in an animal model of glioblastoma. Journal of neurosurgery. 129(6). 1446–1455. 25 indexed citations
5.
Avril, Tony, Amandine Etcheverry, Raphaël Pineau, et al.. (2017). CD90 Expression Controls Migration and Predicts Dasatinib Response in Glioblastoma. Clinical Cancer Research. 23(23). 7360–7374. 34 indexed citations
6.
Cachia, David, Nabil Elshafeey, Carlos Kamiya-Matsuoka, et al.. (2017). Radiographic patterns of progression with associated outcomes after bevacizumab therapy in glioblastoma patients. Journal of Neuro-Oncology. 135(1). 75–81. 14 indexed citations
7.
Zinn, Pascal O., Markus M. Luedi, Sanjay K. Singh, et al.. (2017). 222 Dexamethasone Induces Mesenchymal Trans-differentiation and Promotes Hallmarks of Cancer in Glioblastoma. Neurosurgery. 64(CN_suppl_1). 260–261.
8.
Zinn, Pascal O., Masumeh Hatami, Ginu Thomas, et al.. (2016). Diffusion Weighted Magnetic Resonance Imaging Radiophenotypes and Associated Molecular Pathways in Glioblastoma. Neurosurgery. 63(Supplement 1). 127–135. 6 indexed citations
9.
Luedi, Markus M., Sanjay K. Singh, Masumeh Hatami, et al.. (2016). A Dexamethasone-regulated Gene Signature Is Prognostic for Poor Survival in Glioblastoma Patients. Journal of Neurosurgical Anesthesiology. 29(1). 46–58. 22 indexed citations
10.
Zinn, Pascal O., Sanjay K. Singh, Aikaterini Kotrotsou, et al.. (2016). 139 Clinically Applicable and Biologically Validated MRI Radiomic Test Method Predicts Glioblastoma Genomic Landscape and Survival. Neurosurgery. 63(Supplement 1). 156–157. 15 indexed citations
11.
Hatami, Masumeh, Jixin Wang, Ginu Thomas, et al.. (2015). Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival. Neuro-Oncology. 17(11). 1525–1537. 69 indexed citations
12.
Colen, Rivka R., Masumeh Hatami, Aikaterini Kotrotsou, et al.. (2015). NIMG-11RADIOMIC SUBCLASSIFICATION OF GLIOBLASTOMA. Neuro-Oncology. 17(suppl 5). v155.3–v155. 3 indexed citations
13.
Hatami, Masumeh, et al.. (2012). Prediction of Cardiovascular Events with Consideration of General and Central Obesity Measures in Diabetic Adults: Results of the 8.4-Year Follow-Up. Metabolic Syndrome and Related Disorders. 10(3). 218–224. 13 indexed citations
14.
15.
Hadaegh, Farzad, Gita Shafiee, Masumeh Hatami, & Fereidoun Azizi. (2011). Systolic and diastolic blood pressure, mean arterial pressure and pulse pressure for prediction of cardiovascular events and mortality in a Middle Eastern population. Blood Pressure. 21(1). 12–18. 46 indexed citations
16.
Hadaegh, Farzad, Masumeh Hatami, Reza Mohebi, et al.. (2011). Electrocardiography-defined silent CHD and risk of cardiovascular events among diabetic patients in a Middle Eastern population. European Journal of Preventive Cardiology. 19(6). 1227–1233. 4 indexed citations
17.
Hadaegh, Farzad, Masumeh Hatami, Maryam Tohidi, et al.. (2010). Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women. Lipids in Health and Disease. 9(1). 85–85. 75 indexed citations
18.
Hatami, Masumeh, et al.. (2010). Association of educational status with cardiovascular disease: Teheran Lipid and Glucose Study. International Journal of Public Health. 56(3). 281–287. 7 indexed citations
19.

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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