Ajay Gupta

11.6k total citations · 1 hit paper
218 papers, 6.9k citations indexed

About

Ajay Gupta is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ajay Gupta has authored 218 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Pulmonary and Respiratory Medicine, 85 papers in Epidemiology and 78 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ajay Gupta's work include Cerebrovascular and Carotid Artery Diseases (92 papers), Acute Ischemic Stroke Management (75 papers) and Cardiovascular Health and Disease Prevention (60 papers). Ajay Gupta is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (92 papers), Acute Ischemic Stroke Management (75 papers) and Cardiovascular Health and Disease Prevention (60 papers). Ajay Gupta collaborates with scholars based in United States, Italy and India. Ajay Gupta's co-authors include Hooman Kamel, Hediyeh Baradaran, Diana Delgado, Pina C. Sanelli, Costantino Iadecola, Yi Wang, Ankur Pandya, Babak B. Navi, Jasjit S. Suri and Luca Saba and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Ajay Gupta

209 papers receiving 6.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Carotid Plaque MRI and Stroke Risk

2013 392 citations Ajay Gupta, Hediyeh Baradaran et al. Stroke profile →

Peers

Ajay Gupta

PRM

RNMI

CCM

EPIDE

NEURO

Aart J. Nederveen Netherlands

Marcus Hacker Austria

Luca Saba Italy

Charles B.L.M. Majoie Netherlands

Massimo Midiri Italy

Petros P. Sfikakis Greece

Ed VanBavel Netherlands

Michael Uder Germany

Henrik Sillesen Denmark

Hartmut Hecker Germany

Aart J. Nederveen Netherlands

Ajay Gupta

2.1k ×0.8

PRM

4.0k ×1.7

RNMI

1.7k ×0.8

CCM

2.0k ×1.1

EPIDE

1.1k ×0.8

NEURO

Citations per year, relative to Ajay Gupta Ajay Gupta (= 1×) peers Aart J. Nederveen

Countries citing papers authored by Ajay Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Ajay Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Gupta

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hojjati, Seyed Hani, Tracy Butler, Mony J. de Leon, et al.. (2024). Remote associations between beta‐amyloid and tau are mediated by between‐network connectivity. Alzheimer s & Dementia. 20(S2).

Zhang, Cenai, et al.. (2023). Association between left atrial volume index and infarct volume in patients with ischemic stroke. Frontiers in Neurology. 14. 1265037–1265037.

Zhu, Jinyi, Hooman Kamel, Ajay Gupta, et al.. (2023). Prioritizing Quality Measures in Acute Stroke Care. Annals of Internal Medicine. 176(5). 649–657. 2 indexed citations

Kahan, Joshua, Santosh B. Murthy, Alexander E. Merkler, et al.. (2023). Optic Nerve Diameter on Non-Contrast Computed Tomography and Intracranial Hypertension in Patients With Acute Brain Injury: A Validation Study. Journal of Neurotrauma. 40(21-22). 2282–2288. 2 indexed citations

Parikh, Neal S., Hooman Kamel, Cenai Zhang, et al.. (2022). Association between liver fibrosis and incident dementia in the UK Biobank study. European Journal of Neurology. 29(9). 2622–2630. 25 indexed citations

Mossa‐Basha, Mahmud, Chun Yuan, Bruce A. Wasserman, et al.. (2022). Survey of the American Society of Neuroradiology Membership on the Use and Value of Extracranial Carotid Vessel Wall MRI. American Journal of Neuroradiology. 43(12). 1756–1761. 4 indexed citations

Huang, Weiyuan, Qihao Zhang, Jiao Li, et al.. (2021). DCE-MRI quantitative transport mapping for noninvasively detecting hypoxia inducible factor-1α, epidermal growth factor receptor overexpression, and Ki-67 in nasopharyngeal carcinoma patients. Radiotherapy and Oncology. 164. 146–154. 22 indexed citations

Baradaran, Hediyeh & Ajay Gupta. (2021). Extracranial Vascular Disease. Neuroimaging Clinics of North America. 31(2). 157–166. 12 indexed citations

Puvvula, Anudeep, Ankush D. Jamthikar, Deep Gupta, et al.. (2020). Morphological Carotid Plaque Area Is Associated With Glomerular Filtration Rate: A Study of South Asian Indian Patients With Diabetes and Chronic Kidney Disease. Angiology. 71(6). 520–535. 20 indexed citations

10.

Kamel, Hooman, Babak B. Navi, Neal S. Parikh, et al.. (2020). Machine Learning Prediction of Stroke Mechanism in Embolic Strokes of Undetermined Source. Stroke. 51(9). e203–e210. 36 indexed citations

11.

Lin, Eaton, Joshua Lantos, Sara Strauß, et al.. (2020). Brain Imaging of Patients with COVID-19: Findings at an Academic Institution during the Height of the Outbreak in New York City. American Journal of Neuroradiology. 41(11). 2001–2008. 81 indexed citations

12.

Zhou, Liangdong, Qihao Zhang, Pascal Spincemaille, et al.. (2020). Quantitative transport mapping (QTM) of the kidney with an approximate microvascular network. Magnetic Resonance in Medicine. 85(4). 2247–2262. 13 indexed citations

13.

Saba, Luca, Ajay Gupta, Jasjit S. Suri, et al.. (2020). Perivascular Fat Density and Contrast Plaque Enhancement: Does a Correlation Exist?. American Journal of Neuroradiology. 41(8). 1460–1465. 29 indexed citations

14.

Saba, Luca, Mainak Biswas, Venkatanareshbabu Kuppili, et al.. (2019). The present and future of deep learning in radiology. European Journal of Radiology. 114. 14–24. 236 indexed citations

15.

Khanna, Narendra N., Ankush D. Jamthikar, Tadashi Araki, et al.. (2019). Nonlinear model for the carotid artery disease 10‐year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study. Echocardiography. 36(2). 345–361. 30 indexed citations

16.

Deh, Kofi, Gerald Ponath, Kelly M. Gillen, et al.. (2018). Magnetic susceptibility increases as diamagnetic molecules breakdown: Myelin digestion during multiple sclerosis lesion formation contributes to increase on QSM. Journal of Magnetic Resonance Imaging. 48(5). 1281–1287. 34 indexed citations

17.

Baradaran, Hediyeh, Praneil Patel, Gino Gialdini, et al.. (2017). Association between Intracranial Atherosclerotic Calcium Burden and Angiographic Luminal Stenosis Measurements. American Journal of Neuroradiology. 38(9). 1723–1729. 14 indexed citations

18.

Pandya, Ankur, Ashley A. Eggman, Hooman Kamel, et al.. (2016). Modeling the Cost Effectiveness of Neuroimaging-Based Treatment of Acute Wake-Up Stroke. PLoS ONE. 11(2). e0148106–e0148106. 11 indexed citations

19.

Vo, Katie D., Albert J. Yoo, Ajay Gupta, et al.. (2015). Multimodal Diagnostic Imaging for Hyperacute Stroke. American Journal of Neuroradiology. 36(12). 2206–2213. 10 indexed citations

20.

Zhang, Jingwei, Tian Liu, Ajay Gupta, et al.. (2014). Quantitative mapping of cerebral metabolic rate of oxygen (CMRO₂) using quantitative susceptibility mapping (QSM). Magnetic Resonance in Medicine. 74(4). 945–952. 114 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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