Daniel Jaffurs

1.0k citations
16 papers · 820 indexed · h-index 10

Impact in

Papers in

    • Virus-based gene therapy research 4
    • Craniofacial Disorders and Treatments 2
    • Eicosanoids and Hypertension Pharmacology 2

Daniel Jaffurs

15 papers receiving 799 citations

Peers

Daniel Jaffurs
Comparison fields: 5 of 100
  • Rheumatology 319
  • Cellular and Molecular Neuroscience 133
  • Pharmacology 116
  • Genetics 169
  • Developmental Neuroscience 22
Replace Yoshino Yoshitake with:
Yoshino Yoshitake Japan
C. Dragomir United States
Nicholas R. Hum United States
Fengtao Luo China
Jixing Ye China
Shek Man Chim Australia
Zahava Vadasz Israel
Tadahiko Iijima Japan
Tamás Czömpöly Hungary
Anita Lie Sweden
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Citations per field
00.5×2.9×
Yoshino Yoshitake · 1×
Citations per year

Countries citing papers authored by Daniel Jaffurs

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jaffurs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20192
2 20171
3 20102
4 200929
5 2009159
6 200076
7 200090
8
Review Lessons learned from gene transfer approaches
19991
9 199916
10 1999168
11 1999117
12 199811
13 1997105
14 199432
15 19934
16 19907

About Daniel Jaffurs

Daniel Jaffurs is a scholar working on Genetics, Biochemistry, Rheumatology, Dermatology and Genetics, having authored 16 papers that have together received 820 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Viral Infections and Immunology Research (2 papers), Craniofacial Disorders and Treatments (2 papers) and Orthopedic Surgery and Rehabilitation (2 papers). The work is most often cited by research in Rheumatology (319 citations), Cellular and Molecular Neuroscience (133 citations), Pharmacology (116 citations), Genetics (169 citations) and Developmental Neuroscience (22 citations). Daniel Jaffurs has collaborated with scholars based in United States. Frequent co-authors include Christopher H. Evans, Paul D. Robbins, R. Studer, Eric R. Lechman, Maja Stefanović-Račić, Steven C. Ghivizzani, Zhibao Mi, H. I. Georgescu, Thomas Scholz and Gregory R. D. Evans. Their work appears in journals such as The Journal of Immunology, Plastic & Reconstructive Surgery, Tissue and Cell, Current Biology and Annals of Plastic Surgery.

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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