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
- Surgery top 10%
- Pancreatic function and diabetes
- Congenital Diaphragmatic Hernia Studies
Papers in
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- Congenital heart defects research 3
- RNA modifications and cancer 2
- Protein Tyrosine Phosphatases 1
- RNA Interference and Gene Delivery 1
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- Neonatal Respiratory Health Research 3
- Pulmonary Hypertension Research and Treatments 2
- Co-authors
- D. A. Melton (1 shared paper)Anne Grapin‐Botton (1 shared paper)Mark A. Krasnow (3 shared papers)F. Hernán Espinoza (2 shared papers)Patrick E. Bogard (1 shared paper)Douglas B. Menke (1 shared paper)David M. Kingsley (1 shared paper)Forbes D. Porter (1 shared paper)
- Journals
- Science (2 papers)Developmental Biology (1 paper)Development (1 paper)Circulation (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Maya E. Kumar
10 papers receiving 654 citations
Peers
Comparison fields: 5 of 72
- Pulmonary and Respiratory Medicine 250
- Surgery 294
- Molecular Biology 347
- Cancer Research 59
- Developmental Neuroscience 16
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 | 201 | |
| 2 | 2014 | 111 | |
| 3 | 2016 | 107 | |
| 4 | 2012 | 73 | |
| 5 | 2014 | 68 | |
| 6 | 1999 | 57 | |
| 7 | 2020 | 54 | |
| 8 | 2023 | 6 | |
| 9 | 2025 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2026 | 0 | |
| 12 | 2025 | 0 |
About Maya E. Kumar
Maya E. Kumar is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine and Oncology, having authored 12 papers that have together received 679 indexed citations. Recurring topics across this work include Congenital heart defects research (3 papers), Neonatal Respiratory Health Research (3 papers), Pulmonary Hypertension Research and Treatments (2 papers), RNA modifications and cancer (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Protein Tyrosine Phosphatases (1 paper), RNA Interference and Gene Delivery (1 paper) and Caveolin-1 and cellular processes (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (250 citations), Surgery (294 citations), Molecular Biology (347 citations), Cancer Research (59 citations) and Developmental Neuroscience (16 citations). Maya E. Kumar has collaborated with scholars based in United States, Germany and France. Frequent co-authors include D. A. Melton, Anne Grapin‐Botton, Mark A. Krasnow, F. Hernán Espinoza, Patrick E. Bogard, Douglas B. Menke, David M. Kingsley, Forbes D. Porter, Alan D. Agulnick and Heiner Westphal. Their work appears in journals such as Science, Developmental Biology, Development, Circulation and Journal of Clinical Investigation.
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.