Maya E. Kumar
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
Papers in
-
- Neonatal Respiratory Health Research 4
- Pulmonary Hypertension Research and Treatments 4
-
- Single-cell and spatial transcriptomics 5
- Congenital heart defects research 3
- RNA modifications and cancer 2
- Co-authors
- Doug 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)Ningshan Liu (1 shared paper)
- Journals
- Science (3 papers)Nature (3 papers)Circulation (2 papers)Journal of the American Chemical Society (1 paper)Developmental Biology (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Maya E. Kumar
18 papers receiving 2.9k citations
Maya E. Kumar's Hit Papers
Peers
Comparison fields: 5 of 122
- Aging 222
- Molecular Biology 1.6k
- Biophysics 127
- Cancer Research 287
- Immunology 419
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 | A single-cell transcriptomic atlas characterizes ageing tissues in the mouse Hit paper breakdown → | 2020 | 799 |
| 2 | The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans Hit paper breakdown → | 2022 | 691 |
| 3 | Ageing hallmarks exhibit organ-specific temporal signatures Hit paper breakdown → | 2020 | 462 |
| 4 | 2003 | 199 | |
| 5 | 2014 | 122 | |
| 6 | 2016 | 118 | |
| 7 | 2022 | 109 | |
| 8 | 2012 | 76 | |
| 9 | 2022 | 73 | |
| 10 | 2014 | 68 | |
| 11 | 2013 | 64 | |
| 12 | 2020 | 64 | |
| 13 | 1999 | 59 | |
| 14 | 2023 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2026 | 0 | |
| 20 | 2025 | 0 |
About Maya E. Kumar
Maya E. Kumar is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Internal Medicine, Immunology and Sensory Systems, having authored 20 papers that have together received 2.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Neonatal Respiratory Health Research (4 papers), Pulmonary Hypertension Research and Treatments (4 papers), Congenital heart defects research (3 papers), Congenital Diaphragmatic Hernia Studies (2 papers), Immune cells in cancer (2 papers), RNA modifications and cancer (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Aging (222 citations), Molecular Biology (1.6k citations), Biophysics (127 citations), Cancer Research (287 citations) and Immunology (419 citations). Maya E. Kumar has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Doug A. Melton, Anne Grapin‐Botton, Mark A. Krasnow, F. Hernán Espinoza, Patrick E. Bogard, Douglas B. Menke, David M. Kingsley, Ningshan Liu, Weijia Liu and Pierre Chambon. Their work appears in journals such as Science, Nature, Circulation, Journal of the American Chemical Society and Developmental Biology.
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.