Nenad Bursac

9.9k citations
118 papers · 7.4k indexed · 2 hit papers · h-index 46

Nenad Bursac

113 papers receiving 7.3k citations

Hit Papers

The extracellular matrix protein agrin promotes heart reg...4782013202620172021100200300400

Peers

Nenad Bursac
Comparison fields: 5 of 139
  • Biomaterials 2.4k
  • Surgery 3.8k
  • Biomedical Engineering 3.1k
  • Cellular and Molecular Neuroscience 1.2k
  • Cardiology and Cardiovascular Medicine 1.3k
Replace Wolfram‐Hubertus Zimmermann with:
Wolfram‐Hubertus Zimmermann Germany
Michael A. Laflamme United States
Felix B. Engel Germany
Lior Gepstein Israel
Kevin D. Costa United States
Leslie Tung United States
Thomas K. Borg United States
Chunhui Xu United States
Peter W. Zandstra Canada
Michal Amit Israel
Nenad Bursac relative to Wolfram‐Hubertus Zimmermann Germany Wolfram‐Hubertus Zimmermann's profile →
Citations per field
00.5×1.5×1.8×
Wolfram‐Hubertus Zimmermann · 1×
Citations per year

Countries citing papers authored by Nenad Bursac

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Nenad Bursac, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nenad Bursac Line = papers co-authored together Nenad Bursac links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202219
3 20222
4 20223
5 202228
6 2021160
7 201970
8 201914
9 201837
10 201618
11 201664
12 201517
13 201542
14 2013117
15
Tissue-engineered cardiac patch for advanced functional maturation of human ESC-derived cardiomyocytesbreakdown →
2013437
16 20112
17
Abstract 18051: Engineering of Functional Cardiac Tissue Patch with Realistic Myofiber Orientations
20101
18 201049
19 2009122
20 2007104

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), Neuroscience and Neural Engineering (30 papers), 3D Printing in Biomedical Research (24 papers), Pluripotent Stem Cells Research (23 papers), Cardiac electrophysiology and arrhythmias (22 papers), Muscle Physiology and Disorders (21 papers) and Ion channel regulation and function (15 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.

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