Shubham Misra

2.0k total citations
83 papers, 1.2k citations indexed

About

Shubham Misra is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Shubham Misra has authored 83 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 24 papers in Epidemiology and 18 papers in Neurology. Recurrent topics in Shubham Misra's work include Acute Ischemic Stroke Management (17 papers), S100 Proteins and Annexins (16 papers) and Intracerebral and Subarachnoid Hemorrhage Research (11 papers). Shubham Misra is often cited by papers focused on Acute Ischemic Stroke Management (17 papers), S100 Proteins and Annexins (16 papers) and Intracerebral and Subarachnoid Hemorrhage Research (11 papers). Shubham Misra collaborates with scholars based in India, United States and Australia. Shubham Misra's co-authors include Kanwaljit Chopra, Pradeep Kumar, Kameshwar Prasad, Bikash Medhi, Amit Kumar, Anurag Kuhad, Awadh Kishor Pandit, Kamalesh Chakravarty, Vivek Ranjan Sinha and Deepti Vibha and has published in prestigious journals such as PLoS ONE, Neurology and Stroke.

In The Last Decade

Shubham Misra

79 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shubham Misra India 19 281 259 184 174 162 83 1.2k
Lihong Li China 19 292 1.0× 311 1.2× 106 0.6× 330 1.9× 142 0.9× 80 1.3k
Huiqin Li China 19 292 1.0× 162 0.6× 206 1.1× 139 0.8× 77 0.5× 104 1.3k
Chenyu Li China 21 448 1.6× 205 0.8× 145 0.8× 100 0.6× 113 0.7× 126 1.5k
Fu-Liang Zhang China 15 234 0.8× 275 1.1× 125 0.7× 94 0.5× 226 1.4× 39 987
Ian C. Harding United States 11 387 1.4× 167 0.6× 126 0.7× 92 0.5× 119 0.7× 13 1.1k
Claire Allen United Kingdom 12 528 1.9× 244 0.9× 191 1.0× 92 0.5× 456 2.8× 35 1.5k
Jishou Zhang China 23 563 2.0× 195 0.8× 112 0.6× 147 0.8× 140 0.9× 58 1.7k
Mario Daidone Italy 16 291 1.0× 310 1.2× 242 1.3× 75 0.4× 273 1.7× 30 1.2k
Carlo Maida Italy 19 332 1.2× 424 1.6× 169 0.9× 96 0.6× 351 2.2× 35 1.5k

Countries citing papers authored by Shubham Misra

Since Specialization
Citations

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

Fields of papers citing papers by Shubham Misra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubham Misra

This figure shows the co-authorship network connecting the top 25 collaborators of Shubham Misra. A scholar is included among the top collaborators of Shubham Misra 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 Shubham Misra. Shubham Misra 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.
Misra, Shubham, Johan Zelano, Rajarshi Mazumder, et al.. (2024). Polygenic Risk of Epilepsy and Poststroke Epilepsy. Stroke. 55(12). 2835–2843. 6 indexed citations
2.
Misra, Shubham, Yuki I. Kawamura, Praveen Singh, et al.. (2024). Prognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms. PLoS ONE. 19(6). e0296616–e0296616. 5 indexed citations
3.
Misra, Shubham, Erum Khan, TuKiet T. Lam, et al.. (2023). Common Pathways of Epileptogenesis in Patients With Epilepsy Post–Brain Injury. Neurology. 101(22). e2243–e2256. 9 indexed citations
4.
Pandit, Awadh Kishor, Shubham Misra, Shantanu Sengupta, et al.. (2023). Cerebrospinal fluid proteins in idiopathic intracranial hypertension: An exploratory SWATH proteomics analysis. PROTEOMICS - CLINICAL APPLICATIONS. 18(1). e2300021–e2300021. 1 indexed citations
5.
Misra, Shubham, Praveen Singh, Shantanu Sengupta, et al.. (2022). Blood-based protein biomarkers for the diagnosis of acute stroke: A discovery-based SWATH-MS proteomic approach. Frontiers in Neurology. 13. 989856–989856. 8 indexed citations
6.
Vibha, Deepti, Shubham Misra, Shashvat M. Desai, et al.. (2022). Endovascular Thrombectomy Eligibility in the 0-24-Hour Time Window at a Large Academic Center in India. Neurology India. 70(2). 606–611. 1 indexed citations
7.
Misra, Shubham, Pradeep Kumar, Deepti Vibha, et al.. (2021). Micro-embolic signal monitoring in stroke subtypes: A systematic review and meta-analysis of 58 studies. European Stroke Journal. 6(4). 403–411. 6 indexed citations
8.
Kumar, Amit, et al.. (2021). Epigenetics Mechanisms in Ischemic Stroke: A Promising Avenue?. Journal of Stroke and Cerebrovascular Diseases. 30(5). 105690–105690. 14 indexed citations
9.
10.
Kumar, Pradeep, et al.. (2021). Lipoprotein (a) level as a risk factor for stroke and its subtype: A systematic review and meta-analysis. Scientific Reports. 11(1). 15660–15660. 43 indexed citations
11.
Misra, Shubham, et al.. (2020). Efficacy of various treatment modalities for nCOV‐2019: A systematic review and meta‐analysis. European Journal of Clinical Investigation. 50(11). e13383–e13383. 16 indexed citations
12.
Misra, Shubham, et al.. (2020). Cystatin C and Risk of Mild Cognitive Impairment: A Systematic Review and Meta-Analysis. Dementia and Geriatric Cognitive Disorders. 49(5). 471–482. 16 indexed citations
13.
14.
Kumar, Amit, Shubham Misra, Pradeep Kumar, et al.. (2017). Association between endothelial nitric oxide synthase gene polymorphisms and risk of ischemic stroke: A meta-analysis. Neurology India. 65(1). 22–22. 14 indexed citations
15.
Kumar, Pradeep, Arun Kumar Yadav, Shubham Misra, et al.. (2016). Prediction of upper extremity motor recovery after subacute intracerebral hemorrhage through diffusion tensor imaging: a systematic review and meta-analysis. Neuroradiology. 58(10). 1043–1050. 25 indexed citations
16.
17.
Kumar, Pradeep, Amit Kumar, Ram Sagar, et al.. (2015). Association between Interleukin-10 -1082G/A Gene Polymorphism and Risk of Stroke in the North Indian Population: A Case–Control Study. Journal of Stroke and Cerebrovascular Diseases. 25(2). 461–468. 11 indexed citations
18.
Kumar, Pradeep, Amit Kumar, Shubham Misra, et al.. (2015). Association between lymphotoxin alpha (-252 A/G and -804 C/A) gene polymorphisms and risk of stroke in North Indian population: a hospital-based case-control study. International Journal of Neuroscience. 126(12). 1127–1135. 3 indexed citations
19.
Misra, Shubham, Anurag Kuhad, & Kanwaljit Chopra. (2013). Neurobiological effect of 7-nitroindazole, a neuronal nitric oxide synthase inhibitor, in experimental paradigm of Alzheimer's disease.. PubMed. 51(12). 1086–93. 6 indexed citations
20.
Bhatt, Vijaya Raj, et al.. (2012). T cell acute lymphoblastic leukaemia presenting with sudden onset right oculomotor nerve palsy with normal neuroradiography and cerebrospinal fluid studies. BMJ Case Reports. 2012. bcr0120125685–bcr0120125685. 2 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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