Arben Nace

2.4k citations
11 papers · 967 · 1 hit paper · h-index 7

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 4
    • Pluripotent Stem Cells Research 1
    • Hair Growth and Disorders 4

Arben Nace

11 papers receiving 956 citations

Arben Nace's Hit Papers

Reengineering chimeric antigen receptor T cells for targeted therapy of autoimmune disease 2016 · 528 citations
5280+3+6Years since publication100200300400500

Peers

Arben Nace
Comparison fields: 5 of 72
  • Urology 187
  • Rehabilitation 151
  • Dermatology 112
  • Oncology 302
  • Immunology 239
Replace Iskander H. Chaudhry with:
Iskander H. Chaudhry United Kingdom
Nicolas O. Fortunel France
Caroline Hutter Austria
Mikako Sasaki Japan
Felicia Ng United Kingdom
Makoto Senoo Japan
Daisuke Inokuma Japan
Philip Yuguang Wu China
Hidekazu Fukamizu Japan
Nicholas Hole United Kingdom
Arben Nace relative to Iskander H. Chaudhry United Kingdom Iskander H. Chaudhry's profile →
Citations per field
00.5×
Iskander H. Chaudhry · 1×
Citations per year

Countries citing papers authored by Arben Nace

Since Specialization
Citations

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

Fields of papers citing papers by Arben Nace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Reengineering chimeric antigen receptor T cells for targeted therapy of autoimmune disease
Hit paper breakdown →
2016528
2 2013246
3 201490
4 201453
5 201027
6 20238
7 20256
8 20243
9 20203
10 20252
11 20181

About Arben Nace

Arben Nace is a scholar working on Molecular Biology, Urology, Dermatology, Cell Biology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 967 indexed citations. Recurring topics across this work include Hair Growth and Disorders (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Dermatology and Skin Diseases (2 papers), Skin and Cellular Biology Research (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Silk-based biomaterials and applications (1 paper), Pluripotent Stem Cells Research (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Urology (187 citations), Rehabilitation (151 citations), Dermatology (112 citations), Oncology (302 citations) and Immunology (239 citations). Arben Nace has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include George Cotsarelis, Xuming Mao, Eun Jung Choi, Antonio Lanzavecchia, Aimee Payne, Michael C. Milone, Giovanni Di Zenzo, Michael Jeffrey Cho, John T. Seykora and Vijay Bhoj. Their work appears in journals such as Nature Communications, Nature Medicine, The Journal of Immunology, ACS Biomaterials Science & Engineering and Science.

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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