Dilip Thomas
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
-
- Mesenchymal stem cell research
Papers in
-
- Pluripotent Stem Cells Research 12
- Congenital heart defects research 3
-
- 3D Printing in Biomedical Research 12
- Co-authors
- Abhay Pandit (13 shared papers)Timothy O’Brien (10 shared papers)Joseph C. Wu (14 shared papers)Gianluca Fontana (4 shared papers)Xizhe Chen (4 shared papers)Dimitrios I. Zeugolis (3 shared papers)Nazish Sayed (12 shared papers)Peter Dockery (3 shared papers)
- Journals
- Advanced Materials (3 papers)Biomaterials (3 papers)Journal of Molecular and Cellular Cardiology (2 papers)Stem Cell Research (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United StatesIrelandIndia
In The Last Decade
Dilip Thomas
32 papers receiving 779 citations
Peers
Comparison fields: 5 of 82
- Biomaterials 188
- Genetics 69
- Biomedical Engineering 308
- Surgery 221
- Cell Biology 87
Countries citing papers authored by Dilip Thomas
This map shows the geographic impact of Dilip Thomas'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 Dilip Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dilip Thomas more than expected).
Fields of papers citing papers by Dilip Thomas
This network shows the impact of papers produced by Dilip Thomas. 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 Dilip Thomas. The network helps show where Dilip Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Dilip Thomas, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 91 | |
| 2 | 2014 | 72 | |
| 3 | 2017 | 57 | |
| 4 | 2022 | 55 | |
| 5 | 2015 | 52 | |
| 6 | 2021 | 49 | |
| 7 | 2014 | 42 | |
| 8 | 2020 | 40 | |
| 9 | 2020 | 39 | |
| 10 | 2015 | 34 | |
| 11 | 2016 | 31 | |
| 12 | 2017 | 25 | |
| 13 | 2021 | 24 | |
| 14 | 2021 | 22 | |
| 15 | 2024 | 20 | |
| 16 | 2024 | 17 | |
| 17 | 2016 | 17 | |
| 18 | 2021 | 16 | |
| 19 | 2014 | 15 | |
| 20 | 2021 | 13 |
About Dilip Thomas
Dilip Thomas is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Biomaterials and Cell Biology, having authored 37 papers that have together received 783 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), 3D Printing in Biomedical Research (12 papers), Tissue Engineering and Regenerative Medicine (8 papers), Cellular Mechanics and Interactions (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Congenital heart defects research (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Biomaterials (188 citations), Genetics (69 citations), Biomedical Engineering (308 citations), Surgery (221 citations) and Cell Biology (87 citations). Dilip Thomas has collaborated with scholars based in United States, Ireland and India. Frequent co-authors include Abhay Pandit, Timothy O’Brien, Joseph C. Wu, Gianluca Fontana, Xizhe Chen, Dimitrios I. Zeugolis, Nazish Sayed, Peter Dockery, Kevin Kit Parker and Estelle Collin. Their work appears in journals such as Advanced Materials, Biomaterials, Journal of Molecular and Cellular Cardiology, Stem Cell Research and Journal of Visualized Experiments.
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.