Nenad Bursac
- Surgery top 0.5%
- Molecular Biology top 2%
- Biomedical Engineering top 0.5%
- Biomaterials top 0.2%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Weining BianMark JuhasChristopher P. JackmanLeslie TungNima BadieGordana Vunjak‐NovakovicBrian LiauIlya Y. Shadrin
- Topics
- Tissue Engineering and Regenerative Medicine (57 papers)Electrospun Nanofibers in Biomedical Applications (33 papers)Neuroscience and Neural Engineering (30 papers)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Nenad Bursac
113 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Surgery 3.8k
- Molecular Biology 3.5k
- Biomedical Engineering 3.1k
- Biomaterials 2.4k
- Cardiology and Cardiovascular Medicine 1.3k
Countries citing papers authored by Nenad Bursac
This map shows the geographic impact of Nenad Bursac'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 Nenad Bursac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nenad Bursac more than expected).
Fields of papers citing papers by Nenad Bursac
This network shows the impact of papers produced by Nenad Bursac. 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 Nenad Bursac. The network helps show where Nenad Bursac may publish in the future.
Co-authorship network of co-authors of Nenad Bursac
This figure shows the co-authorship network connecting the top 25 collaborators of Nenad Bursac. A scholar is included among the top collaborators of Nenad Bursac based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nenad Bursac. Nenad Bursac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 28 | |
| 6 | 160 | |
| 7 | 70 | |
| 8 | 14 | |
| 9 | 37 | |
| 10 | 18 | |
| 11 | 64 | |
| 12 | 17 | |
| 13 | 42 | |
| 14 | 117 | |
| 15 | Tissue-engineered cardiac patch for advanced functional maturation of human ESC-derived cardiomyocytesbreakdown → | 437 |
| 16 | 2 | |
| 17 | Abstract 18051: Engineering of Functional Cardiac Tissue Patch with Realistic Myofiber Orientations | 1 |
| 18 | 49 | |
| 19 | 122 | |
| 20 | 104 |
About Nenad Bursac
Nenad Bursac is a scholar working on Biomaterials, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 118 papers that have together received 7.4k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (57 papers), Electrospun Nanofibers in Biomedical Applications (33 papers) and Neuroscience and Neural Engineering (30 papers). The work is most often cited by research in Biomaterials (2.4k citations), Surgery (3.8k citations) and Biomedical Engineering (3.1k citations). Nenad Bursac has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Weining Bian, Mark Juhas, Christopher P. Jackman, Leslie Tung, Nima Badie, Gordana Vunjak‐Novakovic, Brian Liau, Ilya Y. Shadrin, Maria Papadaki and Lisa E. Freed. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.
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.