Maya Ramagopal

495 total citations
24 papers, 350 citations indexed

About

Maya Ramagopal is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Maya Ramagopal has authored 24 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 9 papers in Physiology and 6 papers in Endocrine and Autonomic Systems. Recurrent topics in Maya Ramagopal's work include Obstructive Sleep Apnea Research (6 papers), Neuroscience of respiration and sleep (6 papers) and Air Quality and Health Impacts (5 papers). Maya Ramagopal is often cited by papers focused on Obstructive Sleep Apnea Research (6 papers), Neuroscience of respiration and sleep (6 papers) and Air Quality and Health Impacts (5 papers). Maya Ramagopal collaborates with scholars based in United States, Australia and India. Maya Ramagopal's co-authors include Paul L. Molina, Alan S. Brody, Jeffrey S. Klein, Steven M. Scharf, Darryl W. Roberts, Carol J. Blaisdell, Kathleen Black, Stuart L. Shalat, Larry C. Lands and Gediminas Mainelis and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Journal of Aerosol Science and Indoor Air.

In The Last Decade

Maya Ramagopal

24 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Ramagopal United States 11 194 114 65 55 28 24 350
Robert Stansbury United States 10 150 0.8× 177 1.6× 92 1.4× 30 0.5× 33 1.2× 35 327
Carlos Carpio Spain 10 192 1.0× 179 1.6× 71 1.1× 13 0.2× 15 0.5× 43 326
Keren Armoni Domany Israel 12 115 0.6× 112 1.0× 92 1.4× 15 0.3× 13 0.5× 35 306
Össur Ingi Emilsson Sweden 10 133 0.7× 183 1.6× 70 1.1× 8 0.1× 26 0.9× 31 269
T R Weng United States 9 333 1.7× 145 1.3× 59 0.9× 23 0.4× 13 0.5× 15 444
Bhavneesh Sharma United States 10 288 1.5× 269 2.4× 170 2.6× 10 0.2× 23 0.8× 17 436
Erwan Stéphan‐Blanchard France 13 42 0.2× 39 0.3× 77 1.2× 53 1.0× 22 0.8× 25 316
Jörg Walther Germany 11 73 0.4× 138 1.2× 98 1.5× 6 0.1× 81 2.9× 18 276
Hans‐Werner Duchna Germany 10 131 0.7× 132 1.2× 81 1.2× 10 0.2× 17 0.6× 24 295
Arnoldus J.R. van Gestel Switzerland 12 380 2.0× 111 1.0× 16 0.2× 13 0.2× 12 0.4× 17 490

Countries citing papers authored by Maya Ramagopal

Since Specialization
Citations

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

Fields of papers citing papers by Maya Ramagopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Ramagopal

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Ramagopal. A scholar is included among the top collaborators of Maya Ramagopal 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 Maya Ramagopal. Maya Ramagopal 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.
Shah, Usman, et al.. (2025). Evaluation of Sleep Stages During Drug‐Induced Sleep Endoscopy in Pediatric Patients with Obstructive Sleep Apnea: A Pilot Study. Clinical Otolaryngology. 50(4). 758–764. 1 indexed citations
3.
Reiter, Joel, Maya Ramagopal, Alex Gileles‐Hillel, & Erick Forno. (2021). Sleep disorders in children with asthma. Pediatric Pulmonology. 57(8). 1851–1859. 21 indexed citations
4.
Sastry, Jayagowri, et al.. (2021). The effect of the indoor environment on wheeze- and sleep-related symptoms in young Indian children. Lung India. 38(4). 307–313. 3 indexed citations
5.
Gaur, Sunanda, et al.. (2021). E‐cigarette or vaping product use associated lung injury (EVALI) in the time of COVID‐19: A clinical dilemma. Pediatric Pulmonology. 57(3). 623–630. 8 indexed citations
6.
Ramagopal, Maya, et al.. (2021). Evaluation of Sleep Patterns and Practices in Healthy Indian Infants: Is there a Cultural Difference?. 16(3). 82–85. 1 indexed citations
7.
Jagpal, Sugeet, Aesha M. Jobanputra, Omar Ahmed, Teodoro V. Santiago, & Maya Ramagopal. (2020). Sleep‐disordered breathing in cystic fibrosis. Pediatric Pulmonology. 56(S1). S23–S31. 7 indexed citations
8.
Yen, Elizabeth, Barry Weinberger, Robert Laumbach, et al.. (2018). Exhaled breath condensate nitrite in premature infants with bronchopulmonary dysplasia. Journal of Neonatal-Perinatal Medicine. 11(4). 399–407. 5 indexed citations
9.
Shalat, Stuart L., Zuocheng Wang, Maya Ramagopal, et al.. (2016). Comparison of particulate matter exposure estimates in young children from personal sampling equipment and a robotic sampler. Journal of Exposure Science & Environmental Epidemiology. 27(3). 299–305. 10 indexed citations
10.
Mainelis, Gediminas, et al.. (2016). Use of a Robotic Sampler (PIPER) for Evaluation of Particulate Matter Exposure and Eczema in Preschoolers. International Journal of Environmental Research and Public Health. 13(2). 242–242. 9 indexed citations
11.
Shalat, Stuart L., Zuocheng Wang, Maya Ramagopal, et al.. (2015). Evaluation of particle resuspension in young children׳s breathing zone using stationary and robotic (PIPER) aerosol samplers. Journal of Aerosol Science. 85. 30–41. 11 indexed citations
12.
Jagpal, Sugeet, et al.. (2014). A Case of Unilateral Hyperlucent Lung. Annals of the American Thoracic Society. 11(2). 270–273. 13 indexed citations
13.
Ramagopal, Maya, Zuocheng Wang, Kathleen Black, et al.. (2014). Improved exposure characterization with robotic (PIPER) sampling and association with children’s respiratory symptoms, asthma and eczema. Journal of Exposure Science & Environmental Epidemiology. 24(4). 421–427. 13 indexed citations
14.
Ramagopal, Maya, et al.. (2014). Cultural factors impacting asthma management in Asian Indian children. 28(2). 63–63. 5 indexed citations
15.
Wang, Zemin, Stuart L. Shalat, Kathleen Black, et al.. (2011). Use of a robotic sampling platform to assess young children’s exposure to indoor bioaerosols. Indoor Air. 22(2). 159–169. 16 indexed citations
16.
Reeves, Gloria, Carol J. Blaisdell, Manana Lapidus, et al.. (2010). Sleep architecture and behavioral abnormalities in children and adolescents. International Journal of Adolescent Medicine and Health. 22(4). 535–546. 10 indexed citations
17.
Ramagopal, Maya, Ashwin Mehta, Darryl W. Roberts, et al.. (2009). Asthma as a Predictor of Obstructive Sleep Apnea in Urban African-American Children. Journal of Asthma. 46(9). 895–899. 32 indexed citations
18.
Ramagopal, Maya, Steven M. Scharf, Darryl W. Roberts, & Carol J. Blaisdell. (2008). Obstructive sleep apnea and history of asthma in snoring children. Sleep And Breathing. 12(4). 381–392. 35 indexed citations
19.
Ramagopal, Maya & Larry C. Lands. (2000). Inhaled tobramycin and bronchial hyperactivity in cystic fibrosis. Pediatric Pulmonology. 29(5). 366–370. 16 indexed citations
20.
Brody, Alan S., et al.. (1999). High-resolution computed tomography of the chest in children with cystic fibrosis: support for use as an outcome surrogate. Pediatric Radiology. 29(10). 731–735. 109 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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