Maya Ramagopal

495 citations
24 papers · 350 · h-index 11

Impact in

Papers in

Maya Ramagopal

24 papers receiving 341 citations

Peers

Maya Ramagopal
Comparison fields: 5 of 72
  • Endocrine and Autonomic Systems 65
  • Pulmonary and Respiratory Medicine 194
  • Physiology 114
  • Health, Toxicology and Mutagenesis 55
  • Speech and Hearing 20
Replace Santiago Bardagí with:
Santiago Bardagí Spain
Carlos Carpio Spain
T R Weng United States
Össur Ingi Emilsson Sweden
Keren Armoni Domany Israel
Robert Stansbury United States
A. Avital Israel
Hans‐Jürgen Smith Germany
Waldemar Tomalak Poland
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Citations per field
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999109
2 200835
3 200932
4 202121
5 202019
6 200016
7 201116
8 201413
9 201413
10 201511
11 201610
12 201010
13 20169
14 20218
15 20207
16 20185
17 20145
18 20213
19 20213
20 20251

About Maya Ramagopal

Maya Ramagopal is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Endocrine and Autonomic Systems, Health, Toxicology and Mutagenesis and Cognitive Neuroscience, having authored 24 papers that have together received 350 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (6 papers), Obstructive Sleep Apnea Research (6 papers), Air Quality and Health Impacts (5 papers), Cystic Fibrosis Research Advances (4 papers), Asthma and respiratory diseases (4 papers), Sleep and Wakefulness Research (4 papers), Indoor Air Quality and Microbial Exposure (3 papers) and Inhalation and Respiratory Drug Delivery (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (65 citations), Pulmonary and Respiratory Medicine (194 citations), Physiology (114 citations), Health, Toxicology and Mutagenesis (55 citations) and Speech and Hearing (20 citations). Maya Ramagopal has collaborated with scholars based in United States, Australia and India. Frequent 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, Gediminas Mainelis and Larry C. Lands. Their work appears in journals such as Pediatric Pulmonology, Journal of Exposure Science & Environmental Epidemiology, Indoor Air, International Journal of Environmental Research and Public Health and Journal of Aerosol Science.

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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