Rajiv Mangla

1.4k total citations
48 papers, 994 citations indexed

About

Rajiv Mangla is a scholar working on Neurology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rajiv Mangla has authored 48 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Neurology, 14 papers in Genetics and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rajiv Mangla's work include Glioma Diagnosis and Treatment (13 papers), MRI in cancer diagnosis (9 papers) and Cerebral Venous Sinus Thrombosis (5 papers). Rajiv Mangla is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), MRI in cancer diagnosis (9 papers) and Cerebral Venous Sinus Thrombosis (5 papers). Rajiv Mangla collaborates with scholars based in United States, India and Pakistan. Rajiv Mangla's co-authors include Sven Ekholm, Jeevak Almast, Balasubramanya Kolar, Daniel Thomas Ginat, Gabrielle Yeaney, David N. Korones, Michael T. Milano, Nishant Gupta, Jianhui Zhong and Doerthe Ziegelitz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

In The Last Decade

Rajiv Mangla

48 papers receiving 978 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajiv Mangla United States 16 399 343 316 265 202 48 994
Jana Ivanidze United States 18 253 0.6× 211 0.6× 419 1.3× 338 1.3× 161 0.8× 80 1.1k
Roberto Spiegelmann Israel 17 447 1.1× 260 0.8× 591 1.9× 377 1.4× 122 0.6× 41 1.2k
Parham Moftakhar United States 17 197 0.5× 275 0.8× 454 1.4× 258 1.0× 206 1.0× 27 1.2k
Ouzi Nissim Israel 13 395 1.0× 167 0.5× 420 1.3× 428 1.6× 81 0.4× 23 926
Koichiro Kaneko Japan 19 488 1.2× 81 0.2× 148 0.5× 188 0.7× 450 2.2× 81 1.3k
Bruce L. Dean United States 17 379 0.9× 251 0.7× 901 2.9× 454 1.7× 557 2.8× 34 1.7k
J. Antonio Gutierrez United States 20 194 0.5× 297 0.9× 128 0.4× 147 0.6× 432 2.1× 54 1.3k
Chun‐Jung Juan Taiwan 20 410 1.0× 57 0.2× 261 0.8× 201 0.8× 155 0.8× 94 1.1k
Surjith Vattoth United States 13 128 0.3× 137 0.4× 232 0.7× 100 0.4× 194 1.0× 66 681

Countries citing papers authored by Rajiv Mangla

Since Specialization
Citations

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

Fields of papers citing papers by Rajiv Mangla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajiv Mangla

This figure shows the co-authorship network connecting the top 25 collaborators of Rajiv Mangla. A scholar is included among the top collaborators of Rajiv Mangla 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 Rajiv Mangla. Rajiv Mangla 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.
Soni, Neetu, Manish Ora, Amarnath Jena, et al.. (2023). Amino Acid Tracer PET MRI in Glioma Management: What a Neuroradiologist Needs to Know. American Journal of Neuroradiology. 44(3). 236–246. 11 indexed citations
2.
Soni, Neetu, Manish Ora, Rajiv Mangla, et al.. (2023). Radiological abnormalities in progressive multifocal leukoencephalopathy: Identifying typical and atypical imaging patterns for early diagnosis and differential considerations. Multiple Sclerosis and Related Disorders. 77. 104830–104830. 1 indexed citations
3.
Swarnkar, Amar, et al.. (2022). Striatal dominant lupus encephalitis–Is it vasculitis or an autoimmune process? Literature review & new case report with vessel wall imaging. SHILAP Revista de lepidopterología. 17(4). 1205–1210. 4 indexed citations
4.
Mangla, Rajiv, et al.. (2022). Chronic inflammatory demyelinating polyneuropathy: A unique case of chronic disease with atypical features. SHILAP Revista de lepidopterología. 17(7). 2441–2447. 1 indexed citations
5.
Rao, Priya, et al.. (2021). Hypervascular vestibular schwannoma: A case report and review of the literature. SHILAP Revista de lepidopterología. 16(10). 2841–2846. 1 indexed citations
6.
Williams, Michael, et al.. (2021). Clinical, Pathologic, and Radiologic Features of Orbital Solitary Fibrous Tumors and Meningiomas. Cureus. 13(11). e19678–e19678. 1 indexed citations
7.
Mangla, Rajiv, et al.. (2018). Perfusion Imaging in Autoimmune Encephalitis. SHILAP Revista de lepidopterología. 2018. 1–4. 9 indexed citations
8.
Mangla, Rajiv, et al.. (2018). Remote Cerebellar Haemorrhage: A Potential Iatrogenic Complication of Spinal Surgery. SHILAP Revista de lepidopterología. 2018. 1–4. 3 indexed citations
9.
Mangla, Rajiv, et al.. (2018). Dedifferentiated parosteal osteosarcoma of the calvaria. Baylor University Medical Center Proceedings. 31(1). 76–78. 3 indexed citations
10.
Li, Shuo, et al.. (2018). Clinical and Neuroimaging Findings in Thalamic Territory Infarctions: A Review. Journal of Neuroimaging. 28(4). 343–349. 30 indexed citations
11.
Kumar, Yogesh, et al.. (2017). Toxins in Brain! Magnetic Resonance (MR) Imaging of Toxic Leukoencephalopathy – A Pictorial Essay. Polish Journal of Radiology. 82. 311–319. 18 indexed citations
12.
13.
Liew, Jason, et al.. (2015). Why are most stroke patients deemed poor candidates for intraaterial therapy? A prospective study (P4.306). Neurology. 84(14_supplement). 1 indexed citations
14.
Mangla, Rajiv, et al.. (2014). Cerebral convexity subarachnoid hemorrhage: various causes and role of diagnostic imaging. Emergency Radiology. 22(2). 181–195. 10 indexed citations
15.
Mironov, Oleg, et al.. (2014). Idiopathic Intracranial Hypertension: Diagnostic Accuracy of the Transverse Dural Venous Sinus Attenuation on CT Scans. The Neuroradiology Journal. 27(6). 665–670. 8 indexed citations
16.
Mangla, Rajiv, et al.. (2013). CT perfusion in acute stroke: Know the mimics, potential pitfalls, artifacts, and technical errors. Emergency Radiology. 21(1). 49–65. 40 indexed citations
17.
Mangla, Rajiv, Daniel Thomas Ginat, Shervin Kamalian, et al.. (2013). Correlation between progression free survival and dynamic susceptibility contrast MRI perfusion in WHO grade III glioma subtypes. Journal of Neuro-Oncology. 116(2). 325–331. 24 indexed citations
18.
Ginat, Daniel Thomas, Rajiv Mangla, Gabrielle Yeaney, Pamela W. Schaefer, & Henry E. Wang. (2012). Correlation between Dynamic Contrast-enhanced Perfusion MRI Relative Cerebral Blood Volume and Vascular Endothelial Growth Factor Expression in Meningiomas. Academic Radiology. 19(8). 986–990. 25 indexed citations
19.
Mangla, Rajiv, Balasubramanya Kolar, Jeevak Almast, & Sven Ekholm. (2011). Border Zone Infarcts: Pathophysiologic and Imaging Characteristics. Radiographics. 31(5). 1201–1214. 141 indexed citations
20.
Ginat, Daniel Thomas, Rajiv Mangla, Gabrielle Yeaney, & Henry Z. Wang. (2010). Correlation of Diffusion and Perfusion MRI With Ki-67 in High-Grade Meningiomas. American Journal of Roentgenology. 195(6). 1391–1395. 46 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jana Ivanidze Breakdown of academic impact, for papers by Roberto Spiegelmann Breakdown of academic impact, for papers by Parham Moftakhar Breakdown of academic impact, for papers by Ouzi Nissim Breakdown of academic impact, for papers by Koichiro Kaneko Breakdown of academic impact, for papers by Bruce L. Dean Breakdown of academic impact, for papers by J. Antonio Gutierrez Breakdown of academic impact, for papers by Chun‐Jung Juan Breakdown of academic impact, for papers by Surjith Vattoth
Rankless by CCL
2026