Daniel Jaffurs

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

Impact in

Papers in

    • Virus-based gene therapy research 4
    • Craniofacial Disorders and Treatments 2
    • RNA Interference and Gene Delivery 3

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-authors

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

About Daniel Jaffurs

Daniel Jaffurs is a scholar working on Genetics, Molecular Biology, Rheumatology, Surgery and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 820 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers), Craniofacial Disorders and Treatments (2 papers), Viral Infections and Immunology Research (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Orthopedic Surgery and Rehabilitation (2 papers) and Eicosanoids and Hypertension Pharmacology (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, Garrett A. Wirth and Keyianoosh Z. Paydar. Their work appears in journals such as Plastic & Reconstructive Surgery, The Journal of Immunology, Tissue and Cell, Journal of Reconstructive Microsurgery and Current Biology.

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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