Shraddha Mainali

2.1k total citations
35 papers, 470 citations indexed

About

Shraddha Mainali is a scholar working on Neurology, Epidemiology and Emergency Medicine. According to data from OpenAlex, Shraddha Mainali has authored 35 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 14 papers in Epidemiology and 9 papers in Emergency Medicine. Recurrent topics in Shraddha Mainali's work include Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Acute Ischemic Stroke Management (9 papers) and Cardiac Arrest and Resuscitation (6 papers). Shraddha Mainali is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Acute Ischemic Stroke Management (9 papers) and Cardiac Arrest and Resuscitation (6 papers). Shraddha Mainali collaborates with scholars based in United States, Germany and Austria. Shraddha Mainali's co-authors include Keaton S. Smetana, Lucas Elijovich, Adam S Arthur, Nitin Goyal, Asim F. Choudhri, Matthew T. Whitehead, Keri S. Kim, Susanne Muehlschlegel, G Fontaine and Sheila Alexander and has published in prestigious journals such as Stroke, International Journal of Molecular Sciences and CHEST Journal.

In The Last Decade

Shraddha Mainali

32 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shraddha Mainali United States 12 246 218 93 70 61 35 470
John Liang United States 11 186 0.8× 195 0.9× 66 0.7× 59 0.8× 48 0.8× 53 400
Maximiliano A. Hawkes United States 13 129 0.5× 162 0.7× 42 0.5× 27 0.4× 40 0.7× 47 441
Hebun Erdur Germany 14 373 1.5× 198 0.9× 107 1.2× 15 0.2× 105 1.7× 32 642
Henri Bailly France 6 242 1.0× 89 0.4× 123 1.3× 13 0.2× 162 2.7× 11 528
Amelia Adcock United States 10 172 0.7× 84 0.4× 60 0.6× 21 0.3× 101 1.7× 37 344
Alessio Pieroni Italy 8 143 0.6× 196 0.9× 55 0.6× 14 0.2× 75 1.2× 25 363
Sandeep Ankolekar United Kingdom 8 220 0.9× 148 0.7× 88 0.9× 11 0.2× 56 0.9× 14 382
Yongchai Nilanont Thailand 10 280 1.1× 156 0.7× 87 0.9× 16 0.2× 334 5.5× 25 661
Lars‐Peder Pallesen Germany 11 296 1.2× 175 0.8× 142 1.5× 9 0.1× 117 1.9× 40 420
V. Schuchardt Germany 7 257 1.0× 290 1.3× 85 0.9× 25 0.4× 47 0.8× 21 456

Countries citing papers authored by Shraddha Mainali

Since Specialization
Citations

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

Fields of papers citing papers by Shraddha Mainali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shraddha Mainali

This figure shows the co-authorship network connecting the top 25 collaborators of Shraddha Mainali. A scholar is included among the top collaborators of Shraddha Mainali 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 Shraddha Mainali. Shraddha Mainali 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.
Mainali, Shraddha, Gaurav Nepal, Amy Webb, et al.. (2025). MicroRNA Expression Profile in Acute Ischemic Stroke. International Journal of Molecular Sciences. 26(2). 747–747. 5 indexed citations
2.
Mainali, Shraddha, et al.. (2024). Artificial Intelligence Models for the Automation of Standard Diagnostics in Sleep Medicine—A Systematic Review. Bioengineering. 11(3). 206–206. 13 indexed citations
3.
Muehlschlegel, Susanne, Venkatakrishna Rajajee, Katja E. Wartenberg, et al.. (2024). Guidelines for Neuroprognostication in Critically Ill Adults with Moderate–Severe Traumatic Brain Injury. Neurocritical Care. 40(2). 448–476. 30 indexed citations
4.
Hwang, David Y., Keri S. Kim, Susanne Muehlschlegel, et al.. (2023). Guidelines for Neuroprognostication in Critically Ill Adults with Intracerebral Hemorrhage. Neurocritical Care. 40(2). 395–414. 26 indexed citations
5.
Busl, Katharina M., Herbert Fried, Susanne Muehlschlegel, et al.. (2023). Guidelines for Neuroprognostication in Adults with Guillain–Barré Syndrome. Neurocritical Care. 38(3). 564–583. 16 indexed citations
6.
Dhar, Rajat, Atul Kumar, Yasheng Chen, et al.. (2023). Imaging biomarkers of cerebral edema automatically extracted from routine CT scans of large vessel occlusion strokes. Journal of Neuroimaging. 33(4). 606–616. 2 indexed citations
7.
Mahanes, Dea, Susanne Muehlschlegel, Katja E. Wartenberg, et al.. (2023). Guidelines for neuroprognostication in adults with traumatic spinal cord injury. Neurocritical Care. 40(2). 415–437. 13 indexed citations
8.
Olson, DaiWai M., J. Claude Hemphill, J. Javier Provencio, et al.. (2022). The Curing Coma Campaign and the Future of Coma Research. Seminars in Neurology. 42(3). 393–402. 10 indexed citations
9.
Mainali, Shraddha & Soojin Park. (2022). Artificial Intelligence and Big Data Science in Neurocritical Care. Critical Care Clinics. 39(1). 235–242. 7 indexed citations
10.
Mainali, Shraddha, Danilo Cardim, Aarti Sarwal, et al.. (2022). Prolonged Automated Robotic TCD Monitoring in Acute Severe TBI: Study Design and Rationale. Neurocritical Care. 37(S2). 267–275. 8 indexed citations
11.
Mainali, Shraddha, et al.. (2021). Neurologic and Neuroscientific Evidence in Aged COVID-19 Patients. Frontiers in Aging Neuroscience. 13. 648662–648662. 10 indexed citations
12.
13.
Mainali, Shraddha, et al.. (2021). Machine Learning in Action: Stroke Diagnosis and Outcome Prediction. Frontiers in Neurology. 12. 734345–734345. 93 indexed citations
14.
Olson, DaiWai M., et al.. (2021). The Curing Coma Campaign: Challenging the Paradigm for Disorders of Consciousness. Neurocritical Care. 35(S1). 1–3. 13 indexed citations
15.
Mainali, Shraddha, et al.. (2020). Clinician's Perception of Practice Changes for Stroke During the COVID-19 Pandemic. Journal of Stroke and Cerebrovascular Diseases. 29(10). 105179–105179. 5 indexed citations
16.
Frontera, Jennifer, Shraddha Mainali, Ericka L. Fink, et al.. (2020). Global Consortium Study of Neurological Dysfunction in COVID-19 (GCS-NeuroCOVID): Study Design and Rationale. Neurocritical Care. 33(1). 25–34. 35 indexed citations
17.
McNett, Molly, Ericka L. Fink, Michelle E. Schober, et al.. (2020). The Global Consortium Study of Neurological Dysfunction in COVID-19 (GCS-NeuroCOVID): Development of Case Report Forms for Global Use. Neurocritical Care. 33(3). 793–828. 7 indexed citations
18.
Moheet, Asma, Shraddha Mainali, Victoria McCredie, et al.. (2020). A Longitudinal Study of Gender Parity Trends of General Membership and Leadership in the Neurocritical Care Society between 2002 and 2019. Neurocritical Care. 35(1). 16–23. 3 indexed citations
19.
Mainali, Shraddha, et al.. (2016). Feasibility and Efficacy of Nurse-Driven Acute Stroke Care. Journal of Stroke and Cerebrovascular Diseases. 26(5). 987–991. 11 indexed citations
20.
Elijovich, Lucas, Shraddha Mainali, Vinodh T Doss, Adam S Arthur, & Clarence B. Watridge. (2013). Medical management of free-floating carotid thrombus. Clinical Neurology and Neurosurgery. 115(8). 1532–1535. 12 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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