Tushar Desai
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- Neonatal Respiratory Health Research 19
- Respiratory Support and Mechanisms 3
- Medical Imaging and Pathology Studies 3
- Molecular Biology top 5%
- Extracellular vesicles in disease 3
- Epigenetics and DNA Methylation 3
- Renal and related cancers 3
- Single-cell and spatial transcriptomics 2
- Cancer Research top 5%
- Aging top 5%
- Surgery top 5%
- Congenital Diaphragmatic Hernia Studies 13
- Co-authors
- Douglas BrownfieldMark A. KrasnowPehr B. HarburyNorma NeffF. Hernán EspinozaGary L. MantalasAngela Ruohao WuBarbara Treutlein
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Tushar Desai
35 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Pulmonary and Respiratory Medicine 1.6k
- Molecular Biology 2.2k
- Cancer Research 418
- Aging 45
- Surgery 907
Countries citing papers authored by Tushar Desai
This map shows the geographic impact of Tushar Desai'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 Tushar Desai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tushar Desai more than expected).
Fields of papers citing papers by Tushar Desai
This network shows the impact of papers produced by Tushar Desai. 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 Tushar Desai. The network helps show where Tushar Desai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tushar Desai, 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 | 2025 | 9 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 29 | |
| 8 | 2022 | 3 | |
| 9 | An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomicsbreakdown → | 2019 | 390 |
| 10 | Single-cell Wnt signaling niches maintain stemness of alveolar type 2 cellsbreakdown → | 2018 | 490 |
| 11 | 2017 | 26 | |
| 12 | 2017 | 7 | |
| 13 | 2015 | 2 | |
| 14 | 2015 | 2 | |
| 15 | Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seqbreakdown → | 2014 | 934 |
| 16 | In Vitro and In Vivo Gene Therapy Vector Evolution via Multispecies Interbreeding and Retargeting of Adeno-Associated Virusesbreakdown → | 2008 | 537 |
| 17 | 2007 | 40 | |
| 18 | 2006 | 72 | |
| 19 | 2004 | 97 | |
| 20 | 2001 | 53 |
About Tushar Desai
Tushar Desai is a scholar working on Pulmonary and Respiratory Medicine, Developmental Biology and Surgery, having authored 36 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (19 papers), Congenital Diaphragmatic Hernia Studies (13 papers), Extracellular vesicles in disease (3 papers), Epigenetics and DNA Methylation (3 papers), Renal and related cancers (3 papers), Respiratory Support and Mechanisms (3 papers), Medical Imaging and Pathology Studies (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.6k citations), Molecular Biology (2.2k citations) and Cancer Research (418 citations). Tushar Desai has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Douglas Brownfield, Mark A. Krasnow, Pehr B. Harbury, Norma Neff, F. Hernán Espinoza, Gary L. Mantalas, Angela Ruohao Wu, Barbara Treutlein, Stephen R. Quake and Ahmad N. Nabhan.
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.