Deepa Sirsi

498 citations
26 papers · 185 · h-index 8

Impact in

Papers in

Deepa Sirsi

19 papers receiving 178 citations

Peers

Deepa Sirsi
Comparison fields: 5 of 44
  • Psychiatry and Mental health 79
  • Pediatrics, Perinatology and Child Health 65
  • Clinical Biochemistry 16
  • Cellular and Molecular Neuroscience 24
  • Endocrine and Autonomic Systems 8
Replace Bo Lyun Lee with:
Bo Lyun Lee South Korea
Hepsen Mine Serin Türkiye
Andrew Kelso United Kingdom
Monica Lodi Italy
Adam L. Numis United States
Caterina Zanus Italy
Leonor Cabral‐Lim Philippines
Kai Siebenbrodt Germany
Mohammed Ghiath Shamdeen Germany
Sarah A. Kelley United States
Deepa Sirsi relative to Bo Lyun Lee South Korea Bo Lyun Lee's profile →
Citations per field
00.5×1.5×
Bo Lyun Lee · 1×
Citations per year

Countries citing papers authored by Deepa Sirsi

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Sirsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepa Sirsi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepa Sirsi Line = papers co-authored together Deepa Sirsi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200747
2 200721
3 200720
4 202216
5 202315
6 201213
7 20249
8 20207
9 20117
10 20236
11 20176
12 20155
13 20233
14 20243
15 20222
16 20152
17 20241
18 20251
19 20161
20 20250

About Deepa Sirsi

Deepa Sirsi is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience, Neurology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 185 indexed citations. Recurring topics across this work include Epilepsy research and treatment (8 papers), Pharmacological Effects and Toxicity Studies (4 papers), Metabolism and Genetic Disorders (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Aortic Disease and Treatment Approaches (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Psychiatry and Mental health (79 citations), Pediatrics, Perinatology and Child Health (65 citations), Clinical Biochemistry (16 citations), Cellular and Molecular Neuroscience (24 citations) and Endocrine and Autonomic Systems (8 citations). Deepa Sirsi has collaborated with scholars based in United States, Ireland and Puerto Rico. Frequent co-authors include Joseph E. Safdieh, Gail E. Solomon, Srishti Nangia, Murray Engel, Barry E. Kosofsky, Dallas Armstrong, Kimberly Goodspeed, Susan Arnold, Patricia Evans and Rana Said. Their work appears in journals such as Journal of Child Neurology, Pediatric Neurology, Scientific Reports, Expert Opinion on Drug Safety and The Journal of Pediatrics.

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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