Ravi Poorun

656 citations
13 papers · 407 · h-index 9

Impact in

Papers in

Ravi Poorun

11 papers receiving 397 citations

Peers

Ravi Poorun
Comparison fields: 5 of 61
  • Pharmacy 69
  • Endocrine and Autonomic Systems 87
  • Reproductive Medicine 87
  • Developmental Neuroscience 39
  • Pediatrics, Perinatology and Child Health 172
Replace Katharina M. Hillerer with:
Katharina M. Hillerer Austria
R. E. Blackburn United States
Judith L. Steinman United States
Deborah A. Lubin United States
Angélica Rosat Consiglio Brazil
Mario Gil United States
Flavio Mena Mexico
Cheryl S. Lynch United States
Allonna Harker Canada
A. Mauri Italy
Ravi Poorun relative to Katharina M. Hillerer Austria Katharina M. Hillerer's profile →
Citations per field
00.5×6.2×
Katharina M. Hillerer · 1×
Citations per year

Countries citing papers authored by Ravi Poorun

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Poorun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ravi Poorun, 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 Ravi Poorun Line = papers co-authored together Ravi Poorun links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2015136
2 200885
3 200955
4 201546
5 201421
6 202117
7 201515
8 201513
9 202211
10 20246
11 20242
12 20240
13 20250

About Ravi Poorun

Ravi Poorun is a scholar working on Pediatrics, Perinatology and Child Health, Pharmacy, Developmental Neuroscience, Social Psychology and Endocrine and Autonomic Systems, having authored 13 papers that have together received 407 indexed citations. Recurring topics across this work include Pediatric Pain Management Techniques (7 papers), Infant Development and Preterm Care (7 papers), Infant Health and Development (3 papers), Anesthesia and Neurotoxicity Research (3 papers), Neuroendocrine regulation and behavior (2 papers), Evolutionary Psychology and Human Behavior (1 paper), Neuroscience of respiration and sleep (1 paper) and Family and Patient Care in Intensive Care Units (1 paper). The work is most often cited by research in Pharmacy (69 citations), Endocrine and Autonomic Systems (87 citations), Reproductive Medicine (87 citations), Developmental Neuroscience (39 citations) and Pediatrics, Perinatology and Child Health (172 citations). Ravi Poorun has collaborated with scholars based in United Kingdom, Ecuador and South Africa. Frequent co-authors include Theodosis Κalamatianos, Clive W. Coen, Caroline Hartley, Rebeccah Slater, Richard Rogers, Sezgi Goksan, Joel D. Hahn, Fiona Moultrie, Eleri Adams and Maria K. Oosthuizen. Their work appears in journals such as Pain, The Journal of Comparative Neurology, Cortex, Clinical Neurophysiology and BMJ Open.

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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