Shawna Pandya

793 total citations
9 papers, 475 citations indexed

About

Shawna Pandya is a scholar working on Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Shawna Pandya has authored 9 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Physiology. Recurrent topics in Shawna Pandya's work include Spaceflight effects on biology (3 papers), Telemedicine and Telehealth Implementation (3 papers) and COVID-19 and healthcare impacts (2 papers). Shawna Pandya is often cited by papers focused on Spaceflight effects on biology (3 papers), Telemedicine and Telehealth Implementation (3 papers) and COVID-19 and healthcare impacts (2 papers). Shawna Pandya collaborates with scholars based in Canada, United Kingdom and Poland. Shawna Pandya's co-authors include Sian Bradley, Sonu Bhaskar, Sebastián Moguilner, Vijay Kumar Chattu, Maciej Banach, Sateesh Sakhamuri, Daniel Ray, Alma Nurtazina, Saltanat Kyrykbayeva and Anil Adisesh and has published in prestigious journals such as Brain Research, Journal of neurosurgery and Frontiers in Public Health.

In The Last Decade

Shawna Pandya

8 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shawna Pandya Canada 6 194 124 89 59 46 9 475
Sateesh Sakhamuri Trinidad and Tobago 10 249 1.3× 149 1.2× 92 1.0× 52 0.9× 55 1.2× 32 654
Sian Bradley Australia 6 194 1.0× 124 1.0× 94 1.1× 50 0.8× 47 1.0× 7 450
Zain El‐amir United States 8 297 1.5× 194 1.6× 150 1.7× 41 0.7× 48 1.0× 30 611
Ashok Kumar Kanugula United States 4 294 1.5× 191 1.5× 143 1.6× 46 0.8× 47 1.0× 14 535
Shannon Wongvibulsin United States 16 67 0.3× 119 1.0× 158 1.8× 46 0.8× 24 0.5× 38 744
Ciaran Grafton‐Clarke United Kingdom 13 156 0.8× 50 0.4× 39 0.4× 113 1.9× 29 0.6× 51 646
Arne Peine Germany 9 95 0.5× 76 0.6× 56 0.6× 23 0.4× 45 1.0× 25 355
Robert W. Turer United States 9 173 0.9× 140 1.1× 95 1.1× 113 1.9× 59 1.3× 32 614
Marie‐Laure Charpignon United States 11 81 0.4× 74 0.6× 41 0.5× 101 1.7× 71 1.5× 38 686
Juan Estrada United States 9 297 1.5× 201 1.6× 110 1.2× 19 0.3× 42 0.9× 18 515

Countries citing papers authored by Shawna Pandya

Since Specialization
Citations

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

Fields of papers citing papers by Shawna Pandya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawna Pandya

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

All Works

9 of 9 papers shown
1.
Jachura, Michał, et al.. (2024). Machine learning approach for ambient-light-corrected parameters and the Pupil Reactivity (PuRe) score in smartphone-based pupillometry. Frontiers in Neurology. 15. 1363190–1363190. 7 indexed citations
2.
Shirah, Bader, et al.. (2023). Automated pupillometry in space neuroscience. Life Sciences in Space Research. 37. 1–2.
3.
Shirah, Bader, et al.. (2023). Benefits of Space Medicine Research for Healthcare on Earth. Cureus. 15(5). e39174–e39174. 4 indexed citations
4.
Schroeder, G., et al.. (2021). Medical guidelines for suborbital commercial human spaceflight: A review. Acta Astronautica. 187. 529–536. 3 indexed citations
5.
Bhaskar, Sonu, Sian Bradley, Sateesh Sakhamuri, et al.. (2020). Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era. Frontiers in Public Health. 8. 556789–556789. 81 indexed citations
6.
Bhaskar, Sonu, Sian Bradley, Vijay Kumar Chattu, et al.. (2020). Telemedicine as the New Outpatient Clinic Gone Digital: Position Paper From the Pandemic Health System REsilience PROGRAM (REPROGRAM) International Consortium (Part 2). Frontiers in Public Health. 8. 410–410. 118 indexed citations
7.
Bhaskar, Sonu, Sian Bradley, Vijay Kumar Chattu, et al.. (2020). Telemedicine Across the Globe-Position Paper From the COVID-19 Pandemic Health System Resilience PROGRAM (REPROGRAM) International Consortium (Part 1). Frontiers in Public Health. 8. 556720–556720. 190 indexed citations
8.
Pandya, Shawna, et al.. (2009). Advancing neurosurgery with image-guided robotics. Journal of neurosurgery. 111(6). 1141–1149. 42 indexed citations
9.
Pandya, Shawna, et al.. (2008). Effect of caffeine and morphine on the developing pre-mature brain. Brain Research. 1219. 136–142. 30 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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