Koby Baranes

1.1k citations
15 papers · 880 · h-index 11

Impact in

Papers in

Koby Baranes

15 papers receiving 878 citations

Peers

Koby Baranes
Comparison fields: 5 of 95
  • Biomaterials 281
  • Cellular and Molecular Neuroscience 266
  • Developmental Neuroscience 41
  • Biomedical Engineering 448
  • Pharmaceutical Science 34
Replace Yangnan Hu with:
Yangnan Hu China
John P. Frampton Canada
Yeon Kyung Lee South Korea
Sy‐Tsong Dean Chueng United States
Aniruddh Solanki United States
Tadashi Nakaji‐Hirabayashi Japan
Anjana Jain United States
Eric J. Berns United States
Darice Y. Wong United States
Sara Taylor United States
Koby Baranes relative to Yangnan Hu China Yangnan Hu's profile →
Citations per field
00.5×50×109×
Yangnan Hu · 1×
Citations per year

Countries citing papers authored by Koby Baranes

Since Specialization
Citations

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

Fields of papers citing papers by Koby Baranes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koby Baranes. 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 Koby Baranes. The network helps show where Koby Baranes may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015190
2 2015175
3 2016120
4 201785
5 201272
6 201561
7 201546
8 201442
9 201237
10 200921
11 201914
12 202310
13 20254
14 20172
15 20191

About Koby Baranes

Koby Baranes is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Cell Biology, Biomaterials and Molecular Biology, having authored 15 papers that have together received 880 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (5 papers), Neuroscience and Neural Engineering (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Cellular Mechanics and Interactions (4 papers), Nanoparticle-Based Drug Delivery (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Biomaterials (281 citations), Cellular and Molecular Neuroscience (266 citations), Developmental Neuroscience (41 citations), Biomedical Engineering (448 citations) and Pharmaceutical Science (34 citations). Koby Baranes has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Orit Shefi, Noa Alon, Michal Shevach, Tal Dvir, Menachem Motiei, Michal Marcus, Rachela Popovtzer, Malka Shilo, Anat Sharon and Amos Sharoni. Their work appears in journals such as Journal of Nanobiotechnology, Nano Letters, Advanced Healthcare Materials, Communications Biology and Biotechnology and Bioengineering.

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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