Maya E. Kumar
Impact in
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- Neonatal Respiratory Health Research
- Pulmonary Hypertension Research and Treatments
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
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- Pancreatic function and diabetes
- Congenital Diaphragmatic Hernia Studies
Papers in
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- Neonatal Respiratory Health Research 4
- Pulmonary Hypertension Research and Treatments 3
- Medical Imaging and Pathology Studies 2
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- Congenital heart defects research 3
- RNA modifications and cancer 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- D. A. Melton (1 shared paper)Anne Grapin‐Botton (1 shared paper)F. Hernán Espinoza (2 shared papers)Mark A. Krasnow (2 shared papers)Patrick E. Bogard (1 shared paper)David M. Kingsley (1 shared paper)Douglas B. Menke (1 shared paper)Daniel Metzger (1 shared paper)
- Journals
- Journal of the American Chemical Society (1 paper)Science (1 paper)Clinical Science (1 paper)Current Opinion in Pediatrics (1 paper)Developmental Cell (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Maya E. Kumar
9 papers receiving 616 citations
Peers
Comparison fields: 5 of 74
- Pulmonary and Respiratory Medicine 248
- Surgery 277
- Molecular Biology 353
- Cancer Research 62
- Genetics 93
Countries citing papers authored by Maya E. Kumar
This map shows the geographic impact of Maya E. Kumar'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 E. Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya E. Kumar more than expected).
Fields of papers citing papers by Maya E. Kumar
This network shows the impact of papers produced by Maya E. Kumar. 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 E. Kumar. The network helps show where Maya E. Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya E. Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 178 | |
| 2 | 2016 | 104 | |
| 3 | 2014 | 101 | |
| 4 | 2012 | 69 | |
| 5 | 2014 | 66 | |
| 6 | 1999 | 52 | |
| 7 | 2020 | 49 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Maya E. Kumar
Maya E. Kumar is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Genetics and Pathology and Forensic Medicine, having authored 11 papers that have together received 626 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (4 papers), Pulmonary Hypertension Research and Treatments (3 papers), Congenital heart defects research (3 papers), Medical Imaging and Pathology Studies (2 papers), RNA modifications and cancer (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (248 citations), Surgery (277 citations), Molecular Biology (353 citations), Cancer Research (62 citations) and Genetics (93 citations). Maya E. Kumar has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include D. A. Melton, Anne Grapin‐Botton, F. Hernán Espinoza, Mark A. Krasnow, Patrick E. Bogard, David M. Kingsley, Douglas B. Menke, Daniel Metzger, Alan D. Agulnick and Jeanine D’Armiento. Their work appears in journals such as Journal of the American Chemical Society, Science, Clinical Science, Current Opinion in Pediatrics and Developmental Cell.
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.