Stefan Wild

1.4k citations
28 papers · 1.1k · h-index 18

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Virology top 10%

Papers in

    • Extracellular vesicles in disease 7
    • CRISPR and Genetic Engineering 5
    • RNA Interference and Gene Delivery 4
    • Metal complexes synthesis and properties 4
    • Cancer Cells and Metastasis 3

Stefan Wild

27 papers receiving 1.1k citations

Peers

Stefan Wild
Comparison fields: 5 of 104
  • Cancer Research 398
  • Virology 54
  • Molecular Biology 783
  • Oncology 240
  • Developmental Neuroscience 36
Replace Maiko Higuchi with:
Maiko Higuchi Japan
Aaron S. Meyer United States
Huidong Yuan China
Kriti Agrawal United States
Martin L. Read United Kingdom
Jill O. Fuss United States
Francesca Meloni Italy
Xishan Chen China
Cristina Ghirelli Italy
Marina Ciomei Italy
Stefan Wild relative to Maiko Higuchi Japan Maiko Higuchi's profile →
Citations per field
00.5×4.1×
Maiko Higuchi · 1×
Citations per year

Countries citing papers authored by Stefan Wild

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Wild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016228
2 2009167
3 2005124
4 201683
5 201168
6 201357
7 201249
8 202041
9 199934
10 201633
11 201230
12 201729
13 201527
14 201722
15 202022
16 201921
17 201921
18 201719
19 199915
20 202113

About Stefan Wild

Stefan Wild is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Genetics, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), CRISPR and Genetic Engineering (5 papers), MicroRNA in disease regulation (4 papers), RNA Interference and Gene Delivery (4 papers), Metal complexes synthesis and properties (4 papers), Cancer Cells and Metastasis (3 papers), Complement system in diseases (2 papers) and Ferrocene Chemistry and Applications (2 papers). The work is most often cited by research in Cancer Research (398 citations), Virology (54 citations), Molecular Biology (783 citations), Oncology (240 citations) and Developmental Neuroscience (36 citations). Stefan Wild has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Andreas Bosio, Ute Bissels, Stefan Tomiuk, Thomas Tuschl, Markus Hafner, Susanne Krauthäuser, Ian Johnston, Astrid Schauß, Christian Jüngst and Haralabos Zorbas. Their work appears in journals such as Cytotherapy, Proceedings of the National Academy of Sciences, Stem Cells, Scientific Reports and The CRISPR Journal.

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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