Stephanie Laufs

1.7k citations
59 papers · 1.3k indexed · h-index 22
  • Genetics top 5%
    • Virus-based gene therapy research 36
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments 5
    • Hematopoietic Stem Cell Transplantation 5
  • Oncology top 10%
    • CAR-T cell therapy research 12
    • Chemokine receptors and signaling 5
    • RNA Interference and Gene Delivery 25
    • CRISPR and Genetic Engineering 18
    • Viral Infectious Diseases and Gene Expression in Insects 7
  • Genetics top 10%
    • Virus-based gene therapy research 36

Stephanie Laufs

58 papers receiving 1.3k citations

Peers

Stephanie Laufs
Comparison fields: 5 of 83
  • Genetics 574
  • Hematology 209
  • Oncology 394
  • Molecular Biology 824
  • Genetics 120
Replace Fabrizio Benedicenti with:
Fabrizio Benedicenti Italy
Francesca Ficara Italy
Andrea Annoni Italy
Sally E. Spence United States
Johannes C.M. van der Loo United States
Alessio Cantore Italy
Chozhavendan Rathinam United States
T Kojima Japan
M Pettersson Sweden
Chad M. McCall United States
Stephanie Laufs relative to Fabrizio Benedicenti Italy Fabrizio Benedicenti's profile →
Citations per field
00.5×1.5×2.3×
Fabrizio Benedicenti · 1×
Citations per year

Countries citing papers authored by Stephanie Laufs

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Laufs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201410
2 201344
3 201252
4 201114
5 201114
6 20091
7 200916
8 200923
9 200649
10 20066
11 200412
12 200473
13 200417
14 200310
15 200298
16 200210
17 20022
18 199910
19 19989
20 199730

About Stephanie Laufs

Stephanie Laufs is a scholar working on Genetics, Virology and Oncology, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (36 papers), RNA Interference and Gene Delivery (25 papers), CRISPR and Genetic Engineering (18 papers), CAR-T cell therapy research (12 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Multiple Myeloma Research and Treatments (5 papers), Chemokine receptors and signaling (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). The work is most often cited by research in Genetics (574 citations), Hematology (209 citations) and Oncology (394 citations). Stephanie Laufs has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Stefan Früehauf, W. Jens Zeller, Frederik Wenz, Marlon R. Veldwijk, Heike Allgayer, Patrick Maier, Julian Topaly, Frank A. Giordano, Jens Schumacher and Agnes Hotz‐Wagenblatt. Their work appears in journals such as Blood, Journal of Virology and Clinical Cancer Research.

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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