PICO Portalanswers from OpenAlex & ORCID
Deepalaxmi Rathakrishnan
ResearcherPublications, citations & collaboration network
Deepalaxmi Rathakrishnan is a researcher indexed in PICO Portal from OpenAlex & ORCID.
How many works does Deepalaxmi Rathakrishnan have?
PICO Portalindexed works
Deepalaxmi Rathakrishnan has 7 works in the PICO Portal index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Deepalaxmi Rathakrishnan have?
PICO Portalcitation count
Deepalaxmi Rathakrishnan has 10 citations in the OpenAlex counts PICO Portal stores.
What is the h-index of Deepalaxmi Rathakrishnan?
PICO Portalh-index
Deepalaxmi Rathakrishnan has an h-index of 2 in OpenAlex.
What is the i10-index of Deepalaxmi Rathakrishnan?
PICO Portali10-index
Deepalaxmi Rathakrishnan has an i10-index of 0 in OpenAlex.
What is the OpenAlex record for Deepalaxmi Rathakrishnan?
PICO Portalopenalex
The OpenAlex for Deepalaxmi Rathakrishnan is on the source record.
What are the most-cited papers on Deepalaxmi Rathakrishnan?
PICO Portalmost cited works
Trends in drug repurposing: Advancing cardiovascular disease management in geriatric populations
Murali Krishna Moka, Melvin George, Deepalaxmi Rathakrishnan, V Jagadeeshwaran, D K Sriram
Overcoming barriers to unlock the therapeutic potential of saroglitazar for the management of metabolic dysfunction-associated steatotic liver disease
Murali Krishna Moka, Deepalaxmi Rathakrishnan, D K Sriram, Melvin George
Advancing therapeutic approaches and shaping future perspectives in the management of autosomal dominant polycystic kidney disease (ADPKD): Insights from clinical trials
Murali Krishna Moka, Deepalaxmi Rathakrishnan, D.K. Sriram, Melvin George
How safe are the TNF alpha inhibitors with respect to pregnancy outcomes in autoimmune diseases?
Murali Krishna Moka, Deepalaxmi Rathakrishnan, Sriram. D.K, Melvin George
Evaluation of Sepsis Outcomes Using SOFA, APACHE II, and SAPS Indices: A Retrospective Study in a Quaternary Care Hospital with Implications for Enhanced Mortality Prediction Models
Melvin George, D K Sriram, Deepalaxmi Rathakrishnan, Murali Krishna Moka, Melina I Sahay, V Jagadeeshwaran