Nivedita Agarwal

1.2k total citations
45 papers, 677 citations indexed

About

Nivedita Agarwal is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Nivedita Agarwal has authored 45 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 13 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Neurology. Recurrent topics in Nivedita Agarwal's work include Cerebrospinal fluid and hydrocephalus (11 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Nivedita Agarwal is often cited by papers focused on Cerebrospinal fluid and hydrocephalus (11 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Fetal and Pediatric Neurological Disorders (7 papers). Nivedita Agarwal collaborates with scholars based in Italy, United States and United Kingdom. Nivedita Agarwal's co-authors include Perry F. Renshaw, Roxana O. Carare, John D. Port, Bartolo Lanuzza, S Musumeci, Raffaele Ferri, Giovanni Pennisi, Maurizio Elia, Massimo Bazzocchi and Christian Contarino and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Nivedita Agarwal

39 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nivedita Agarwal Italy 13 279 148 133 126 117 45 677
Kunal P. Raygor United States 14 302 1.1× 179 1.2× 211 1.6× 117 0.9× 361 3.1× 61 1.0k
T. Hagen Germany 17 240 0.9× 255 1.7× 55 0.4× 86 0.7× 180 1.5× 52 956
Conrad Rockel Canada 16 423 1.5× 376 2.5× 174 1.3× 90 0.7× 85 0.7× 26 938
Ghulam Syed United Kingdom 12 360 1.3× 184 1.2× 300 2.3× 67 0.5× 103 0.9× 39 777
Hisashi Yonezawa Japan 10 204 0.7× 254 1.7× 179 1.3× 68 0.5× 125 1.1× 28 649
Heather M. O’Leary United States 15 527 1.9× 98 0.7× 72 0.5× 40 0.3× 66 0.6× 20 842
Carolina Ciumas France 17 370 1.3× 110 0.7× 407 3.1× 185 1.5× 83 0.7× 28 897
Geert-Jan Rutten Netherlands 13 751 2.7× 395 2.7× 271 2.0× 73 0.6× 73 0.6× 26 1.1k

Countries citing papers authored by Nivedita Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Nivedita Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nivedita Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Nivedita Agarwal. A scholar is included among the top collaborators of Nivedita Agarwal 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 Nivedita Agarwal. Nivedita Agarwal 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.
Rizzato, G, Denis Peruzzo, Elisa Mani, et al.. (2025). Perivascular Space Burden in Children With Autism Spectrum Disorder Correlates With Neurodevelopmental Severity. Journal of Magnetic Resonance Imaging. 62(5). 1496–1506.
2.
Agarwal, Nivedita, Willemijn M. Klein, & Ruth Tuura. (2025). MR Imaging of Neurofluids in the Developing Brain. Neuroimaging Clinics of North America. 35(2). 287–302. 1 indexed citations
3.
Agarwal, Nivedita, G Rizzato, Elisa Mani, et al.. (2024). Parasagittal dural volume correlates with cerebrospinal fluid volume and developmental delay in children with autism spectrum disorder. SHILAP Revista de lepidopterología. 4(1). 191–191. 3 indexed citations
4.
Peruzzo, Denis, et al.. (2024). Enhancing T1 signal of normal‐appearing white matter with divided subtracted inversion recovery: A pilot study in mild traumatic brain injury. NMR in Biomedicine. 37(10). e5175–e5175. 2 indexed citations
5.
Peruzzo, Denis, Sara Mascheretti, Valentina Lampis, et al.. (2024). Brain Alteration Patterns in Children with Duchenne Muscular Dystrophy: A Machine Learning Approach to Magnetic Resonance Imaging. Journal of Neuromuscular Diseases. 13(1). 121–132. 3 indexed citations
6.
Agarwal, Nivedita. (2024). Clinical Utility of DTI‐ALPS in Identifying Dysfunction in the “Glymphatic” System. Journal of Magnetic Resonance Imaging. 61(6). 2503–2504. 1 indexed citations
7.
Agarwal, Nivedita, et al.. (2024). ISMRM Clinical Focus Meeting 2023: “Imaging the Fire in the Brain”. Journal of Magnetic Resonance Imaging. 61(4). 1580–1596.
8.
Casartelli, Luca, Stefania Conte, Letizia Squarcina, et al.. (2024). Fetal brain MRI atlases and datasets: A review. NeuroImage. 292. 120603–120603. 11 indexed citations
9.
Maggioni, Eleonora, Maddalena Mauri, Corrado Fagnani, et al.. (2023). Environmental effects on brain functional networks in a juvenile twin population. Scientific Reports. 13(1). 3921–3921. 1 indexed citations
10.
11.
Agarwal, Nivedita & Roxana O. Carare. (2021). Cerebral Vessels: An Overview of Anatomy, Physiology, and Role in the Drainage of Fluids and Solutes. Frontiers in Neurology. 11. 611485–611485. 64 indexed citations
12.
Toro, Eleuterio F., Qinghui Zhang, Christian Contarino, et al.. (2021). Cerebrospinal fluid dynamics coupled to the global circulation in holistic setting: Mathematical models, numerical methods and applications. International Journal for Numerical Methods in Biomedical Engineering. 38(1). e3532–e3532. 27 indexed citations
13.
Agarwal, Nivedita, et al.. (2021). Cervical spinal degenerative disease in multiple sclerosis. European Journal of Neurology. 28(8). 2497–2502. 3 indexed citations
14.
Agarwal, Nivedita, Ali Ahmed, Richard H. Wiggins, et al.. (2020). Segmental Imaging of the Trochlear Nerve: Anatomic and Pathologic Considerations. Journal of Neuro-Ophthalmology. 41(1). e7–e15. 3 indexed citations
15.
Agarwal, Nivedita, Christian Contarino, & Eleuterio F. Toro. (2019). Neurofluids: A holistic approach to their physiology, interactive dynamics and clinical implications for neurological diseases. SHILAP Revista de lepidopterología. 8(3). 20 indexed citations
16.
Agarwal, Nivedita & Perry F. Renshaw. (2011). Proton MR Spectroscopy–Detectable Major Neurotransmitters of the Brain: Biology and Possible Clinical Applications. American Journal of Neuroradiology. 33(4). 595–602. 40 indexed citations
17.
Port, John D. & Nivedita Agarwal. (2011). MR spectroscopy in schizophrenia. Journal of Magnetic Resonance Imaging. 34(6). 1251–1261. 20 indexed citations
18.
Agarwal, Nivedita, John D. Port, Massimo Bazzocchi, & Perry F. Renshaw. (2010). Update on the Use of MR for Assessment and Diagnosis of Psychiatric Diseases. Radiology. 255(1). 23–41. 73 indexed citations
19.
Zanatta, Paolo, et al.. (2008). Brain function monitoring during off-pump cardiac surgery: a case report. Cases Journal. 1(1). 94–94. 3 indexed citations
20.
Agarwal, Nivedita, Marcella Bellani, Cinzia Perlini, et al.. (2008). Increased fronto-temporal perfusion in bipolar disorder. Journal of Affective Disorders. 110(1-2). 106–114. 24 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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