Arben Nace

2.4k citations
12 papers · 1.0k · 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 5

Arben Nace

11 papers receiving 994 citations

Arben Nace's Hit Papers

Reengineering chimeric antigen receptor T cells for targeted therapy of autoimmune disease 2016 · 539 citations
5390+3+6Years since publication100200300400500

Peers

Arben Nace
Comparison fields: 5 of 72
  • Urology 200
  • Rehabilitation 168
  • Dermatology 118
  • Oncology 306
  • Immunology 246
Replace Iskander H. Chaudhry with:
Iskander H. Chaudhry United Kingdom
Nicolas O. Fortunel France
Mikako Sasaki Japan
Daisuke Inokuma Japan
Felicia Ng United Kingdom
Makoto Senoo Japan
Andrew L. Nguyen United States
Emily R. Nelson United States
Philip Yuguang Wu China
Sandra Cid Spain
Arben Nace relative to Iskander H. Chaudhry United Kingdom Iskander H. Chaudhry's profile →
Citations per field
00.5×2×4×5.3×
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

12 of 12 papers shown
#Work
1
Reengineering chimeric antigen receptor T cells for targeted therapy of autoimmune disease
Hit paper breakdown →
2016539
2 2013259
3 2014104
4 201455
5 201029
6 20238
7 20256
8 20243
9 20203
10 20252
11 20161
12 20181

About Arben Nace

Arben Nace is a scholar working on Molecular Biology, Urology, Dermatology, Cell Biology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hair Growth and Disorders (5 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 (200 citations), Rehabilitation (168 citations), Dermatology (118 citations), Oncology (306 citations) and Immunology (246 citations). Arben Nace has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include George Cotsarelis, Aimee Payne, Michael C. Milone, Xuming Mao, John T. Seykora, Giovanni Di Zenzo, Vijay Bhoj, Eun Jung Choi, Michael Jeffrey Cho and Antonio Lanzavecchia. Their work appears in journals such as Nature Communications, Journal of Investigative Dermatology, Advanced Healthcare Materials, Nature Medicine and The Journal of Immunology.

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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