Rita Krishnamurthi

66.1k total citations · 5 hit papers
56 papers, 7.8k citations indexed

About

Rita Krishnamurthi is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Rehabilitation. According to data from OpenAlex, Rita Krishnamurthi has authored 56 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Epidemiology, 16 papers in Cardiology and Cardiovascular Medicine and 13 papers in Rehabilitation. Recurrent topics in Rita Krishnamurthi's work include Acute Ischemic Stroke Management (23 papers), Stroke Rehabilitation and Recovery (13 papers) and Dementia and Cognitive Impairment Research (11 papers). Rita Krishnamurthi is often cited by papers focused on Acute Ischemic Stroke Management (23 papers), Stroke Rehabilitation and Recovery (13 papers) and Dementia and Cognitive Impairment Research (11 papers). Rita Krishnamurthi collaborates with scholars based in New Zealand, United Kingdom and United States. Rita Krishnamurthi's co-authors include Valery L. Feigin, Mohsen Naghavi, George A. Mensah, Mohammad H. Forouzanfar, Suzanne Barker‐Collo, Christopher J L Murray, Derrick Bennett, Andrew Moran, Ralph L. Sacco and Thomas Truelsen and has published in prestigious journals such as The Lancet, Stroke and Scientific Reports.

In The Last Decade

Rita Krishnamurthi

51 papers receiving 7.7k citations

Hit Papers

Global and regional burden of stroke during 1990–2010: fi... 2013 2026 2017 2021 2013 2016 2013 2015 2020 500 1000 1.5k 2.0k 2.5k

Peers

Rita Krishnamurthi
Ralph L. Sacco United States
Andrew Moran United States
Myles Connor United Kingdom
Mary G. George United States
Rita Krishnamurthi
Citations per year, relative to Rita Krishnamurthi Rita Krishnamurthi (= 1×) peers Wenzhi Wang

Countries citing papers authored by Rita Krishnamurthi

Since Specialization
Citations

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

Fields of papers citing papers by Rita Krishnamurthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Krishnamurthi

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Krishnamurthi. A scholar is included among the top collaborators of Rita Krishnamurthi 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 Rita Krishnamurthi. Rita Krishnamurthi 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.
Jones, Kelly, Rita Krishnamurthi, Suzanne Barker‐Collo, et al.. (2024). Fatigue After Stroke Educational Recovery Program: A Prospective, Phase III, Randomized Controlled Trial. Journal of the American Heart Association. 14(1). e034441–e034441. 1 indexed citations
2.
Krishnamurthi, Rita, Alain C. Vandal, Suzanne Barker‐Collo, et al.. (2024). Health and Wellness Coaching for 5-Year Projected Cardiovascular Health. Neurology Clinical Practice. 14(1). e200220–e200220.
3.
Márquez-Romero, Juan Manuel, et al.. (2024). Assessing the individual risk of stroke in caregivers of patients with stroke. Arquivos de Neuro-Psiquiatria. 82(3). 1–5.
5.
Merkin, Alexander, Oleg N. Medvedev, Rita Krishnamurthi, et al.. (2023). A Pilot Study of Application of the Stroke Riskometer Mobile App for Assessment of the Course and Clinical Outcomes of COVID-19 among Hospitalized Patients. Cerebrovascular Diseases Extra. 13(1). 47–55. 1 indexed citations
6.
Gall, Seana, Valery L. Feigin, Amanda G. Thrift, et al.. (2022). Personalized knowledge to reduce the risk of stroke (PERKS-International): Protocol for a randomized controlled trial. International Journal of Stroke. 18(4). 477–483. 2 indexed citations
7.
Feigin, Valery L., et al.. (2022). Digital solutions for primary stroke and cardiovascular disease prevention: A mass individual and public health approach. The Lancet Regional Health - Western Pacific. 29. 100511–100511. 10 indexed citations
8.
Doborjeh, Maryam, Zohreh Doborjeh, Alexander Merkin, et al.. (2021). Personalised Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke. Cognitive Computation. 1–32. 1 indexed citations
9.
Medvedev, Oleg N., et al.. (2021). Cross-cultural validation of the stroke riskometer using generalizability theory. Scientific Reports. 11(1). 19064–19064. 8 indexed citations
10.
Krishnamurthi, Rita, Takayoshi Ikeda, & Valery L. Feigin. (2020). Global, Regional and Country-Specific Burden of Ischaemic Stroke, Intracerebral Haemorrhage and Subarachnoid Haemorrhage: A Systematic Analysis of the Global Burden of Disease Study 2017. Neuroepidemiology. 54(2). 171–179. 479 indexed citations breakdown →
11.
Mahon, Susan, et al.. (2019). Slowed Information Processing Speed at Four Years Poststroke: Evidence and Predictors from a Population-Based Follow-up Study. Journal of Stroke and Cerebrovascular Diseases. 29(2). 104513–104513. 8 indexed citations
12.
Merkin, Alexander, Oleg N. Medvedev, Perminder S. Sachdev, et al.. (2019). New avenue for the geriatric depression scale: Rasch transformation enhances reliability of assessment. Journal of Affective Disorders. 264. 7–14. 8 indexed citations
13.
14.
Mahon, Susan, Priya Parmar, Suzanne Barker‐Collo, et al.. (2017). Determinants, Prevalence, and Trajectory of Long-Term Post-Stroke Cognitive Impairment: Results from a 4-Year Follow-Up of the ARCOS-IV Study. Neuroepidemiology. 49(3-4). 129–134. 43 indexed citations
15.
Feigin, Valery L., Gregory A. Roth, Mohsen Naghavi, et al.. (2016). Global burden of stroke and risk factors in 188 countries, during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet Neurology. 15(9). 913–924. 1066 indexed citations breakdown →
16.
Krishnamurthi, Rita, Andrew Moran, Valery L. Feigin, et al.. (2015). Stroke Prevalence, Mortality and Disability-Adjusted Life Years in Adults Aged 20-64 Years in 1990-2013: Data from the Global Burden of Disease 2013 Study. Neuroepidemiology. 45(3). 190–202. 240 indexed citations
17.
Krishnamurthi, Rita, Andrew Moran, Mohammad H. Forouzanfar, et al.. (2014). The Global Burden of Hemorrhagic Stroke: A Summary of Findings From the GBD 2010 Study. Global Heart. 9(1). 101–101. 155 indexed citations
18.
Feigin, Valery L., Rita Krishnamurthi, P. Alan Barber, & Bruce Arroll. (2013). Stroke Prevention in New Zealand: Can We Do Better?. International Journal of Stroke. 9(1). 61–63. 2 indexed citations
19.
Krishnamurthi, Rita, Simon Stott, Richard L. M. Faull, et al.. (2004). N-terminal tripeptide of IGF-1 improves functional deficits after 6-OHDA lesion in rats. Neuroreport. 15(10). 1601–1604. 40 indexed citations
20.
Guan, Jian, Rita Krishnamurthi, Henry J. Waldvogel, et al.. (2000). N-terminal tripeptide of IGF-1 (GPE) prevents the loss of TH positive neurons after 6-OHDA induced nigral lesion in rats. Brain Research. 859(2). 286–292. 93 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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