Bappaditya Ray

910 total citations
34 papers, 322 citations indexed

About

Bappaditya Ray is a scholar working on Neurology, Epidemiology and Surgery. According to data from OpenAlex, Bappaditya Ray has authored 34 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 11 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Bappaditya Ray's work include Intracranial Aneurysms: Treatment and Complications (10 papers), Acute Ischemic Stroke Management (9 papers) and Traumatic Brain Injury and Neurovascular Disturbances (9 papers). Bappaditya Ray is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (10 papers), Acute Ischemic Stroke Management (9 papers) and Traumatic Brain Injury and Neurovascular Disturbances (9 papers). Bappaditya Ray collaborates with scholars based in United States, India and Canada. Bappaditya Ray's co-authors include Tara Sankar Roy, Bradley N. Bohnstedt, Salah Keyrouz, David M. Thompson, Kallol Kumar Roy, Chao Xu, Shashi Wadhwa, Bin Zheng, Evgeny Sidorov and Kimberly Hollabaugh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

In The Last Decade

Bappaditya Ray

30 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bappaditya Ray United States 13 130 86 55 46 44 34 322
Birgit Poltrum Austria 11 132 1.0× 198 2.3× 65 1.2× 34 0.7× 78 1.8× 12 414
Marcin Wnuk Poland 11 109 0.8× 60 0.7× 41 0.7× 24 0.5× 24 0.5× 35 299
Xinyue Zhang China 12 117 0.9× 47 0.5× 46 0.8× 22 0.5× 20 0.5× 46 325
Liquan Lv China 12 193 1.5× 78 0.9× 79 1.4× 39 0.8× 21 0.5× 18 351
Matteo Luigi Giuseppe Leoni Italy 9 76 0.6× 41 0.5× 34 0.6× 28 0.6× 26 0.6× 50 310
Gökhan Özdemir Türkiye 8 101 0.8× 54 0.6× 24 0.4× 19 0.4× 22 0.5× 28 291
Rolla Nuoman United States 12 370 2.8× 94 1.1× 36 0.7× 46 1.0× 82 1.9× 34 491
Huimin Fan China 12 129 1.0× 93 1.1× 40 0.7× 78 1.7× 79 1.8× 23 399
Alejandro Martínez‐Domeño Spain 14 292 2.2× 233 2.7× 55 1.0× 37 0.8× 97 2.2× 40 541
M. V. Padma Srivastava India 11 76 0.6× 62 0.7× 46 0.8× 56 1.2× 11 0.3× 37 293

Countries citing papers authored by Bappaditya Ray

Since Specialization
Citations

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

Fields of papers citing papers by Bappaditya Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bappaditya Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Bappaditya Ray. A scholar is included among the top collaborators of Bappaditya Ray 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 Bappaditya Ray. Bappaditya Ray 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.
Ray, Bappaditya, et al.. (2024). Clinical outcome and cost effectiveness of acute ischemic stroke transfers for endovascular reperfusion therapy from geographically distant counties. Journal of Stroke and Cerebrovascular Diseases. 33(11). 107981–107981.
2.
3.
Ray, Bappaditya, et al.. (2023). Strokes and Predictors of Outcomes. Critical Care Nursing Clinics of North America. 35(1). 1–15. 6 indexed citations
4.
Xu, Chao, et al.. (2022). Scoring System to Predict Hospital Outcome After Subarachnoid Hemorrhage–Incorporating Systemic Response: The CRIG Score. Journal of Stroke and Cerebrovascular Diseases. 31(8). 106577–106577. 3 indexed citations
5.
Ray, Bappaditya, Chao Xu, Bin Zheng, et al.. (2022). Quantitative Analysis of Stress-Induced Hyperglycemia and Intracranial Blood Volumes for Predicting Mortality After Intracerebral Hemorrhage. Translational Stroke Research. 13(4). 595–603. 11 indexed citations
6.
Sidorov, Evgeny G., Nidhi Kapoor, Bappaditya Ray, et al.. (2021). Criteria for Emergency Brain MRI During Stroke-Alert. Journal of Stroke and Cerebrovascular Diseases. 30(8). 105890–105890. 2 indexed citations
7.
8.
Sidorov, Evgeny G., et al.. (2020). Novel Metabolites as Potential Indicators of Ischemic Infarction Volume: a Pilot Study. Translational Stroke Research. 12(5). 778–784. 12 indexed citations
9.
Sidorov, Evgeny G., Chao Xu, Bappaditya Ray, et al.. (2020). Potential Metabolite Biomarkers for Acute Versus Chronic Stage of Ischemic Stroke: A Pilot Study. Journal of Stroke and Cerebrovascular Diseases. 29(4). 104618–104618. 26 indexed citations
10.
Ray, Bappaditya, Stephen R. Ross, Gopichandh Danala, et al.. (2019). Systemic response of coated-platelet and peripheral blood inflammatory cell indices after aneurysmal subarachnoid hemorrhage and long-term clinical outcome. Journal of Critical Care. 52. 1–9. 25 indexed citations
11.
O’Connor, Kyle P., Gopichandh Danala, Chao Xu, et al.. (2019). Predicting Clinical Outcome After Mechanical Thrombectomy: The GADIS (Gender, Age, Diabetes Mellitus History, Infarct Volume, and Sex) Score. World Neurosurgery. 134. e1130–e1142. 13 indexed citations
12.
Ross, Stephen R., Kimberly Hollabaugh, Dee Wu, et al.. (2018). Radiological Estimation of Intracranial Blood Volume and Occurrence of Hydrocephalus Determines Stress-Induced Hyperglycemia After Aneurysmal Subarachnoid Hemorrhage. Translational Stroke Research. 10(3). 327–337. 15 indexed citations
13.
Ray, Bappaditya, Eleanor Mathews, David M. Thompson, et al.. (2017). Coated-Platelet Trends Predict Short-Term Clinical OutcomeAfter Subarachnoid Hemorrhage. Translational Stroke Research. 9(5). 459–470. 17 indexed citations
14.
Ray, Bappaditya, et al.. (2017). Stress-Induced Hyperglycemia After Spontaneous Subarachnoid Hemorrhage and Its Role in Predicting Cerebrospinal Fluid Diversion. World Neurosurgery. 100. 208–215. 20 indexed citations
15.
Scott, William W., Bappaditya Ray, Kim L. Rickert, et al.. (2013). Functional müllerian tissue within the conus medullaris generating cyclical neurological morbidity in an otherwise healthy female. Child s Nervous System. 30(4). 717–721. 7 indexed citations
16.
Ray, Bappaditya, Kim L. Rickert, Babu G. Welch, et al.. (2013). Development of Contrast-Induced Nephropathy in Subarachnoid Hemorrhage: a Single Center Perspective. Neurocritical Care. 19(2). 150–156. 14 indexed citations
17.
Yaghi, Shadi, Page C. Moore, Bappaditya Ray, & Salah Keyrouz. (2012). Predictors of tracheostomy in patients with spontaneous intracerebral hemorrhage. Clinical Neurology and Neurosurgery. 115(6). 695–698. 17 indexed citations
18.
Ray, Bappaditya, et al.. (2009). Age changes in the human oculomotor nerve – A stereological study. Annals of Anatomy - Anatomischer Anzeiger. 191(3). 260–266. 11 indexed citations
19.
Ray, Bappaditya, et al.. (2004). Unusual insertion of the coracobrachialis muscle to the brachial fascia associated with high division of brachial artery. Clinical Anatomy. 17(8). 672–676. 8 indexed citations
20.
Ray, Bappaditya, Tara Sankar Roy, Shashi Wadhwa, & Kallol Kumar Roy. (2004). Development of the human fetal cochlear nerve: a morphometric study. Hearing Research. 202(1-2). 74–86. 33 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 Birgit Poltrum Breakdown of academic impact, for papers by Marcin Wnuk Breakdown of academic impact, for papers by Xinyue Zhang Breakdown of academic impact, for papers by Liquan Lv Breakdown of academic impact, for papers by Matteo Luigi Giuseppe Leoni Breakdown of academic impact, for papers by Gökhan Özdemir Breakdown of academic impact, for papers by Rolla Nuoman Breakdown of academic impact, for papers by Huimin Fan Breakdown of academic impact, for papers by Alejandro Martínez‐Domeño Breakdown of academic impact, for papers by M. V. Padma Srivastava
Rankless by CCL
2026