Sunil George
Impact in
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- Mesenchymal stem cell research
Papers in
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- Renal and related cancers 6
- CRISPR and Genetic Engineering 3
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- Hemophilia Treatment and Research 3
- Hematopoietic Stem Cell Transplantation 2
- Co-authors
- Baisong Lu (5 shared papers)Colin E. Bishop (4 shared papers)Yan Jiao (3 shared papers)Anthony Atala (13 shared papers)Graça Almeida‐Porada (7 shared papers)Christopher D. Porada (12 shared papers)James J. Yoo (5 shared papers)Sang Jin Lee (3 shared papers)
- Journals
- Blood (5 papers)Nature Communications (1 paper)Frontiers in Immunology (1 paper)Biofabrication (1 paper)American Journal of Physiology-Renal Physiology (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Sunil George
31 papers receiving 460 citations
Peers
Comparison fields: 5 of 88
- Genetics 53
- Hematology 43
- Aging 7
- Biomaterials 35
- Nephrology 17
Countries citing papers authored by Sunil George
This map shows the geographic impact of Sunil George'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 Sunil George with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil George more than expected).
Fields of papers citing papers by Sunil George
This network shows the impact of papers produced by Sunil George. 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 Sunil George. The network helps show where Sunil George may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunil George, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 66 | |
| 2 | 2011 | 60 | |
| 3 | 2019 | 47 | |
| 4 | 2020 | 38 | |
| 5 | 2012 | 29 | |
| 6 | 2016 | 25 | |
| 7 | 2012 | 22 | |
| 8 | 2010 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 2018 | 18 | |
| 11 | 2019 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2010 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2012 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 2021 | 5 | |
| 20 | 2023 | 4 |
About Sunil George
Sunil George is a scholar working on Molecular Biology, Hematology, Surgery, Genetics and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 464 indexed citations. Recurring topics across this work include Renal and related cancers (6 papers), Tissue Engineering and Regenerative Medicine (4 papers), Hemophilia Treatment and Research (3 papers), Mesenchymal stem cell research (3 papers), Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Genetics (53 citations), Hematology (43 citations), Aging (7 citations), Biomaterials (35 citations) and Nephrology (17 citations). Sunil George has collaborated with scholars based in United States, India and China. Frequent co-authors include Baisong Lu, Colin E. Bishop, Yan Jiao, Anthony Atala, Graça Almeida‐Porada, Christopher D. Porada, James J. Yoo, Sang Jin Lee, Aleksander Skardal and Julio Aleman. Their work appears in journals such as Blood, Nature Communications, Frontiers in Immunology, Biofabrication and American Journal of Physiology-Renal Physiology.
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.