Benjamin Van Biber

5.3k citations
7 papers · 240 · h-index 5

Impact in

Papers in

    • Pluripotent Stem Cells Research 5
    • CRISPR and Genetic Engineering 2
    • Congenital heart defects research 1
    • Tissue Engineering and Regenerative Medicine 5
    • Cardiac and Coronary Surgery Techniques 1

Benjamin Van Biber

7 papers receiving 238 citations

Peers

Benjamin Van Biber
Comparison fields: 5 of 37
  • Surgery 142
  • Cellular and Molecular Neuroscience 57
  • Biomaterials 38
  • Molecular Biology 188
  • Biomedical Engineering 65
Replace Tamer Mohamed with:
Tamer Mohamed United States
Tadashi Takaki Japan
Rupal Hatkar Canada
Shota Someya Japan
Mirja L. Schulze Germany
Sho Tanosaki Japan
Ming-Tao Zhao United States
Hidenori Kojima Japan
Ekaterina Kovalev Israel
Pratik A Lalit United States
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin Van Biber

Since Specialization
Citations

This map shows the geographic impact of Benjamin Van Biber'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 Benjamin Van Biber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Van Biber more than expected).

Fields of papers citing papers by Benjamin Van Biber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Van Biber. 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 Benjamin Van Biber. The network helps show where Benjamin Van Biber may publish in the future.

Co-authors

The 25 scholars most cited alongside Benjamin Van Biber, 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 Benjamin Van Biber Line = papers co-authored together Benjamin Van Biber links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201072
2 201469
3 201162
4 201417
5 202014
6 20204
7 20142

About Benjamin Van Biber

Benjamin Van Biber is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Biomaterials, having authored 7 papers that have together received 240 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Neuroscience and Neural Engineering (2 papers), CRISPR and Genetic Engineering (2 papers), Congenital heart defects research (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Anesthesia and Neurotoxicity Research (1 paper) and Cardiac and Coronary Surgery Techniques (1 paper). The work is most often cited by research in Surgery (142 citations), Cellular and Molecular Neuroscience (57 citations), Biomaterials (38 citations), Molecular Biology (188 citations) and Biomedical Engineering (65 citations). Benjamin Van Biber has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Michael A. Laflamme, Wei-Zhong Zhu, Joseph Gold, Elina Minami, Mohan Viswanathan, Yuji Shiba, Yusuke Hirota, Sarah Fernandes, Sarah Dupras and Yan Li. Their work appears in journals such as Journal of Cardiovascular Pharmacology and Therapeutics, Global Heart, Stem Cell Research & Therapy, PLoS ONE and Stem Cells Translational Medicine.

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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