Bora Gari̇pcan

2.0k citations
81 papers · 1.7k indexed · h-index 25

Impact in

Papers in

Bora Gari̇pcan

77 papers receiving 1.6k citations

Peers

Bora Gari̇pcan
Comparison fields: 5 of 118
  • Biomaterials 280
  • Surfaces, Coatings and Films 135
  • Analytical Chemistry 172
  • Molecular Medicine 83
  • Biomedical Engineering 632
Replace Shou‐Jun Xiao with:
Shou‐Jun Xiao China
Helmut Reinecke Spain
Yue Cui China
Caterina Minelli United Kingdom
Fang Cheng China
Reza Rahighi Iran
Lei Tang China
Didier Léonard France
Xiaojuan Hao Australia
Yongqing Xia China
Bora Gari̇pcan relative to Shou‐Jun Xiao China Shou‐Jun Xiao's profile →
Citations per field
00.5×1.5×2.2×
Shou‐Jun Xiao · 1×
Citations per year

Countries citing papers authored by Bora Gari̇pcan

Since Specialization
Citations

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

Fields of papers citing papers by Bora Gari̇pcan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202416
3 20235
4 202311
5 202310
6 20230
7 20235
8 20219
9 202117
10 202166
11 20216
12 202117
13 202015
14 202034
15 20198
16 201822
17 200919
18 20041
19 200321
20 200235

About Bora Gari̇pcan

Bora Gari̇pcan is a scholar working on Surfaces, Coatings and Films, Biomaterials, Biomedical Engineering, Industrial and Manufacturing Engineering and Orthodontics, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (13 papers), Protein purification and stability (10 papers), 3D Printing in Biomedical Research (10 papers), Bone Tissue Engineering Materials (10 papers), Polymer Surface Interaction Studies (10 papers), Tissue Engineering and Regenerative Medicine (9 papers), Neuroscience and Neural Engineering (6 papers) and Nanofabrication and Lithography Techniques (6 papers). The work is most often cited by research in Biomaterials (280 citations), Surfaces, Coatings and Films (135 citations), Analytical Chemistry (172 citations), Molecular Medicine (83 citations) and Biomedical Engineering (632 citations). Bora Gari̇pcan has collaborated with scholars based in Türkiye, Germany and United States. Frequent co-authors include Adi̇l Deni̇zli̇, Süleyman Patır, Lokman Uzun, Rıdvan Say, Sedat Odabaş, Erhan Pişkın, Murat Gülsoy, Klaus D. Jandt, Abdülkerim Karabakan and Gökhan Demirel. Their work appears in journals such as Advanced Engineering Materials, Journal of Biomedical Materials Research Part B Applied Biomaterials, Journal of Applied Polymer Science, ACS Biomaterials Science & Engineering and Scientific Reports.

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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