Maya Ramagopal

506 citations
26 papers · 382 · h-index 11

Impact in

Papers in

Maya Ramagopal

24 papers receiving 364 citations

Peers

Maya Ramagopal
Comparison fields: 5 of 67
  • Pulmonary and Respiratory Medicine 165
  • Endocrine and Autonomic Systems 30
  • Physiology 100
  • Health, Toxicology and Mutagenesis 55
  • Speech and Hearing 18
Replace Birger Norderud Lærum with:
Birger Norderud Lærum Norway
Paweł Nastałek Poland
Carlos Carpio Spain
Hans‐Werner Duchna Germany
Össur Ingi Emilsson Sweden
Jeff A. Regnis Australia
Ulla Schedin Sweden
Cathy Coates United States
Arnoldus J.R. van Gestel Switzerland
Henry Furlott Canada
Maya Ramagopal relative to Birger Norderud Lærum Norway Birger Norderud Lærum's profile →
Citations per field
00.5×2.8×
Birger Norderud Lærum · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Maya Ramagopal, 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 Maya Ramagopal Line = papers co-authored together Maya Ramagopal 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 1999117
2 200841
3 200935
4 202123
5 201121
6 202020
7 200017
8 201414
9 201413
10 201512
11 201011
12 201610
13 20169
14 20218
15 20207
16 20146
17 20185
18 20213
19 20213
20 20212

About Maya Ramagopal

Maya Ramagopal is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Endocrine and Autonomic Systems and Speech and Hearing, having authored 26 papers that have together received 382 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (7 papers), Cystic Fibrosis Research Advances (4 papers), Indoor Air Quality and Microbial Exposure (4 papers), Asthma and respiratory diseases (4 papers), Inhalation and Respiratory Drug Delivery (3 papers), Noise Effects and Management (3 papers), Air Quality and Health Impacts (3 papers) and Neuroscience of respiration and sleep (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (165 citations), Endocrine and Autonomic Systems (30 citations), Physiology (100 citations), Health, Toxicology and Mutagenesis (55 citations) and Speech and Hearing (18 citations). Maya Ramagopal has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Jeffrey S. Klein, Alan S. Brody, Paul L. Molina, Steven M. Scharf, Darryl W. Roberts, Carol J. Blaisdell, Stuart L. Shalat, Larry C. Lands, Gediminas Mainelis and Kathleen Black. Their work appears in journals such as Pediatric Pulmonology, Journal of Exposure Science & Environmental Epidemiology, International Journal of Environmental Research and Public Health, Laryngoscope Investigative Otolaryngology and Indoor Air.

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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