Nadia Biassou

667 total citations
23 papers, 495 citations indexed

About

Nadia Biassou is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Nadia Biassou has authored 23 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Epidemiology. Recurrent topics in Nadia Biassou's work include Functional Brain Connectivity Studies (6 papers), Neurobiology of Language and Bilingualism (5 papers) and Medical Imaging Techniques and Applications (3 papers). Nadia Biassou is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neurobiology of Language and Bilingualism (5 papers) and Medical Imaging Techniques and Applications (3 papers). Nadia Biassou collaborates with scholars based in United States, Germany and United Kingdom. Nadia Biassou's co-authors include Murray Grossman, Vernon L. Towle, Hyunah Yoon, David M. Frim, Michael Kohrman, Jean‐Paul Spire, J. Christopher Edgar, K. Robinson, Mark D’Esposito and Elizabeth M. Hughes and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Brain.

In The Last Decade

Nadia Biassou

21 papers receiving 475 citations

Peers

Countries citing papers authored by Nadia Biassou

Since Specialization

Citations

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

Fields of papers citing papers by Nadia Biassou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Biassou

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Modeling functional connectivity changes during an auditory language task using line graph neural networks 2024 ·Frontiers in Computational Neuroscience ·(unknown), Junwu Liang, Ninet Sinaii, (unknown), (unknown), Sunder S. Rajan, Sara K. Inati, William H. Theodore, Nadia Biassou	0
2	Central nervous system involvement in Erdheim-Chester disease: a magnetic resonance imaging study 2024 ·Clinical Imaging ·(unknown), (unknown), Fatemeh Homayounieh, (unknown), (unknown), Nadia Biassou, Ritu Shah, Moozhan Nikpanah, (unknown), Faraz Farhadi, Rahul Dave, Skand Shekhar, William A. Gahl, Juvianee Estrada‐Veras, Ashkan A. Malayeri, Kevin O’Brien	1
3	Virtual monoenergetic imaging in photon-counting CT of the head and neck 2023 ·Clinical Imaging ·Faraz Farhadi, Pooyan Sahbaee, (unknown), Moozhan Nikpanah, Babak Saboury, Ralf Gutjahr, Nadia Biassou, Ritu Shah, Thomas Flohr, Ehsan Samei, William F. Pritchard, Ashkan A. Malayeri, David A. Bluemke, Elizabeth C. Jones	7
4	A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging 2023 ·Tomography ·(unknown), (unknown), (unknown), (unknown), Pedro E. Martinez, Jack A. Yanovski, Karen F. Berman, Peter J. Schmidt, Elizabeth C. Jones, Hadi Bagheri, Nadia Biassou, Li‐Yueh Hsu	2
5	CT Evaluation of Lymph Nodes That Merge or Split during the Course of a Clinical Trial: Limitations of RECIST 1.1 2021 ·Radiology Imaging Cancer ·(unknown), Mohammadhadi Bagheri, Faraz Farhadi, Andrea B. Apolo, Nadia Biassou, Les Folio, Elizabeth C. Jones, Ronald M. Summers	9
6	Morphometric and Functional Brain Connectivity Differentiates Chess Masters From Amateur Players 2021 ·Frontiers in Neuroscience ·(unknown), Syed Muhammad Anwar, Nadia Biassou, Ulaş Bağcı	7
7	Temozolomide in Secondary Prevention of HER2-Positive Breast Cancer Brain Metastases 2020 ·Future Oncology ·Alexandra S. Zimmer, Seth M. Steinberg, Dee Dee Smart, Mark R. Gilbert, Terri S. Armstrong, Eric Burton, Nicole Houston, Nadia Biassou, Brunilde Gril, Priscilla K. Brastianos, Scott L. Carter, David Lyden, Stanley Lipkowitz, Patricia S. Steeg	21
8	HIV-Negative Cryptococcal Meningoencephalitis Results in a Persistent Frontal-Subcortical Syndrome 2019 ·Scientific Reports ·(unknown), Joseph Snow, (unknown), Angela C. Summers, (unknown), Talia Shirazi, Nadia Biassou, Anil A. Panackal, (unknown), Kieren A. Marr, William Charles Kreisl, John E. Bennett, Peter R. Williamson	9
9	Lens Dose Reduction by Patient Posture Modification During Neck CT 2018 ·American Journal of Roentgenology ·(unknown), John A. Butman, Les Folio, Nadia Biassou, Choonsik Lee	9
10	Thymic epithelial tumors and metastasis to the brain: a case series and systematic review 2017 ·Translational Lung Cancer Research ·Helen Gharwan, Chul Kim, Anish Thomas, Arlene Berman, Sun A. Kim, Nadia Biassou, Seth M. Steinberg, Arun Rajan	3
11	Improving the use of principal component analysis to reduce physiological noise and motion artifacts to increase the sensitivity of task-based fMRI 2014 ·Journal of Neuroscience Methods ·David A. Soltysik, David Thomasson, Sunder S. Rajan, Nadia Biassou	18
12	Semi-Automated Trajectory Analysis of Deep Ballistic Penetrating Brain Injury 2013 ·Military Medicine ·Les Folio, Jeffrey Solomon, Nadia Biassou, Tatjana Fischer, (unknown), Vanessa Raymont, Ninet Sinaii, Eric M. Wassermann, Jordan Grafman	5
13	Head-repositioning does not reduce the reproducibility of fMRI activation in a block-design motor task 2011 ·NeuroImage ·David A. Soltysik, David Thomasson, Sunder S. Rajan, Javier González-Castillo, (unknown), Nadia Biassou	9
14	Unrelated umbilical cord blood transplant for juvenile metachromatic leukodystrophy: A 5-year follow-up in three affected siblings 2010 ·Molecular Genetics and Metabolism ·(unknown), Richard S. Finkel, Tanya Lehky, Nadia Biassou, Edythe Wiggs, Nancy Bunin, Tyler Mark Pierson	16
15	ECoG gamma activity during a language task: differentiating expressive and receptive speech areas 2008 ·Brain ·Vernon L. Towle, Hyunah Yoon, (unknown), J. Christopher Edgar, Nadia Biassou, David M. Frim, Jean‐Paul Spire, Michael Kohrman	177
16	Semantic memory in Alzheimer's disease: Representativeness, ontologic category, and material. 1998 ·Neuropsychology ·Murray Grossman, K. Robinson, Nadia Biassou, (unknown), Mark D’Esposito	29
17	Dual Processing of Open- and Closed-Class Words 1997 ·Brain and Language ·Nadia Biassou, Loraine K. Obler, Jean–Luc Nespoulous, M Dordain, Katherine S. Harris	21
18	Language comprehension profiles in Alzheimer's disease, multi-infarct dementia, and frontotemporal degeneration 1996 ·Neurology ·Murray Grossman, Mark D’Esposito, Elizabeth M. Hughes, K. Onishi, Nadia Biassou, (unknown), K. Robinson	89
19	Verb confrontation naming and word-picture matching in Alzheimer's disease. 1996 ·Neuropsychology ·(unknown), Murray Grossman, Keith Robinson, Kris Onishi, Nadia Biassou	2
20	Phonologic processing deficits in Alzheimer's disease 1995 ·Neurology ·Nadia Biassou, Murray Grossman, K. Onishi, Jenifer Mickanin, Elizabeth M. Hughes, K. Robinson, Mark D’Esposito	18

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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