Gagan Sharma

6.7k total citations
38 papers, 729 citations indexed

About

Gagan Sharma is a scholar working on Epidemiology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gagan Sharma has authored 38 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 18 papers in Neurology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gagan Sharma's work include Acute Ischemic Stroke Management (32 papers), Cerebrovascular and Carotid Artery Diseases (15 papers) and Traumatic Brain Injury and Neurovascular Disturbances (9 papers). Gagan Sharma is often cited by papers focused on Acute Ischemic Stroke Management (32 papers), Cerebrovascular and Carotid Artery Diseases (15 papers) and Traumatic Brain Injury and Neurovascular Disturbances (9 papers). Gagan Sharma collaborates with scholars based in Australia, United States and Finland. Gagan Sharma's co-authors include Bruce Campbell, Stephen M. Davis, Mark Parsons, Nawaf Yassi, Patricia Desmond, Geoffrey A. Donnan, Leonid Churilov, Bernard Yan, Atte Meretoja and Andrew Bivard and has published in prestigious journals such as NeuroImage, Neurology and Stroke.

In The Last Decade

Gagan Sharma

32 papers receiving 719 citations

Peers

Gagan Sharma

EPIDE

NEURO

PRM

NEURO

Anna M.M. Boers Netherlands

Yannan Yu United States

Adriaan C.G.M. van Es Netherlands

Marielle Ernst Germany

Niels Hjort Denmark

Kunakorn Atchaneeyasakul United States

Leticia C.S. Souza United States

Mary Kalafut United States

Zarina Assis Canada

Inger Havsteen Denmark

Anna M.M. Boers Netherlands

Gagan Sharma

693 ×1.2

EPIDE

429 ×1.2

NEURO

371 ×1.3

PRM

224 ×1.8

66 ×0.7

NEURO

Citations per year, relative to Gagan Sharma Gagan Sharma (= 1×) peers Anna M.M. Boers

Countries citing papers authored by Gagan Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Gagan Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gagan Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Gagan Sharma. A scholar is included among the top collaborators of Gagan Sharma 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 Gagan Sharma. Gagan Sharma 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

García-Esperón, Carlos, Daniel S. Green, Gagan Sharma, et al.. (2025). Arterial Input Function Dispersal on Acute Brain CT Perfusion Scan in Patients With Acute Stroke and an Intracardiac Thrombus. Neurology. 104(3). e210256–e210256.

Khan, James S., Yosef A. Solewicz, Dennis Cordato, et al.. (2025). Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers. Physiological Measurement. 47(1). 15007–15007.

Sharma, Sameer, Henry Zhao, Atte Meretoja, et al.. (2025). Ultra-early computed tomography markers of haematoma expansion: Potential trial targets?. European Stroke Journal. 74796322–74796322.

Kimberly, W. Taylor, Jeffrey L. Saver, Bruce Campbell, et al.. (2025). Intravenous Glyburide in Medical and Endovascular‐Treated Large‐Core Stroke: A Subgroup Analysis of the CHARM Randomized Clinical Trial. Annals of Neurology. 98(3). 616–624. 1 indexed citations

Sobowale, Oluwaseun A., Isabel C. Hostettler, Teddy Y. Wu, et al.. (2024). Baseline perihematomal edema, C-reactive protein, and 30-day mortality are not associated in intracerebral hemorrhage. Frontiers in Neurology. 15. 1359760–1359760. 1 indexed citations

Yogendrakumar, Vignan, Leonid Churilov, James Beharry, et al.. (2023). Abstract 92: Tenecteplase Treatment And Thrombus Characteristics Associated With Early Reperfusion - An EXTEND-IA TNK Trials Analysis. Stroke. 54(Suppl_1). 1 indexed citations

Ng, Felix, Leonid Churilov, Nawaf Yassi, et al.. (2022). Reduced Severity of Tissue Injury Within the Infarct May Partially Mediate the Benefit of Reperfusion in Ischemic Stroke. Stroke. 53(6). 1915–1923. 9 indexed citations

Tan, Zefeng, Mark Parsons, Andrew Bivard, et al.. (2022). Comparison of Computed Tomography Perfusion and Multiphase Computed Tomography Angiogram in Predicting Clinical Outcomes in Endovascular Thrombectomy. Stroke. 53(9). 2926–2934. 10 indexed citations

Yogendrakumar, Vignan, Teddy Y. Wu, Leonid Churilov, et al.. (2022). Does tranexamic acid affect intraventricular hemorrhage growth in acute ICH? An analysis of the STOP-AUST trial. European Stroke Journal. 7(1). 15–19. 4 indexed citations

10.

Bivard, Andrew, Leonid Churilov, Henry Ma, et al.. (2021). Does variability in automated perfusion software outputs for acute ischemic stroke matter? Reanalysis of EXTEND perfusion imaging. CNS Neuroscience & Therapeutics. 28(1). 139–144. 7 indexed citations

11.

Churilov, Leonid, Peter Mitchell, Andrew Bivard, et al.. (2021). Automated estimation of ischemic core prior to thrombectomy: comparison of two current algorithms. Neuroradiology. 63(10). 1645–1649. 10 indexed citations

12.

Ng, Felix, Vijay Venkatraman, Mark Parsons, et al.. (2020). Gradient of Tissue Injury after Stroke: Rethinking the Infarct versus Noninfarcted Dichotomy. Cerebrovascular Diseases. 49(1). 32–38. 14 indexed citations

13.

Wu, Teddy Y., Nawaf Yassi, Darshan Shah, et al.. (2017). Simultaneous Multiple Intracerebral Hemorrhages (SMICH). Stroke. 48(3). 581–586. 17 indexed citations

14.

Wu, Teddy Y., Jukka Putaala, Gagan Sharma, et al.. (2017). Abstract WP346: Persistent Hyperglycemia is Independently Associated With Increased Mortality After Intracerebral Hemorrhage. Stroke. 48(suppl_1). 1 indexed citations

15.

Wu, Teddy Y., Jukka Putaala, Gagan Sharma, et al.. (2017). Persistent Hyperglycemia Is Associated With Increased Mortality After Intracerebral Hemorrhage. Journal of the American Heart Association. 6(8). 39 indexed citations

16.

Wu, Teddy Y., Oluwaseun A. Sobowale, Robert Hurford, et al.. (2016). Software output from semi-automated planimetry can underestimate intracerebral haemorrhage and peri-haematomal oedema volumes by up to 41 %. Neuroradiology. 58(9). 867–876. 20 indexed citations

17.

Yassi, Nawaf, Gagan Sharma, Bernard Yan, et al.. (2016). Diagnosing acute lacunar infarction using CT perfusion. Journal of Clinical Neuroscience. 29. 70–72. 24 indexed citations

18.

Mitra, Jhimli, Pierrick Bourgeat, Jürgen Fripp, et al.. (2014). Lesion segmentation from multimodal MRI using random forest following ischemic stroke. NeuroImage. 98. 324–335. 114 indexed citations

19.

Campbell, Bruce, Sören Christensen, Nawaf Yassi, et al.. (2013). Comparison of Automated Whole Brain CT Perfusion Analysis with Perfusion-Diffusion MRI in Ischemic Stroke. Stroke. 44(2). 1 indexed citations

20.

Ma, Minmin, Atte Meretoja, Leonid Churilov, et al.. (2013). Warfarin-associated intracerebral hemorrhage: Volume, anticoagulation intensity and location. Journal of the Neurological Sciences. 332(1-2). 75–79. 22 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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