Johan Hyllner

3.7k citations
45 papers · 1.9k · h-index 23

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering

Papers in

    • Pluripotent Stem Cells Research 33
    • CRISPR and Genetic Engineering 17
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Tissue Engineering and Regenerative Medicine 12

Johan Hyllner

45 papers receiving 1.9k citations

Peers

Johan Hyllner
Comparison fields: 5 of 122
  • Genetics 371
  • Molecular Biology 1.2k
  • Biomedical Engineering 645
  • Surgery 516
  • Urology 72
Replace Francesca Gattazzo with:
Francesca Gattazzo Italy
Steve Oh Singapore
Nicole I. zur Nieden United States
Sylvia Joussen Germany
Jae Ho Lee South Korea
Jinfu Wang China
Uma Lakshmipathy United States
Gérard Tachdjian France
Lin Song China
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Citations per field
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Citations per year

Countries citing papers authored by Johan Hyllner

Since Specialization
Citations

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

Fields of papers citing papers by Johan Hyllner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003201
2 2006158
3 2015125
4 2010107
5 2009106
6 200989
7 200788
8 200985
9 201080
10 200778
11 200771
12 200764
13 200555
14 201054
15 200751
16 201449
17 201349
18 201244
19 200544
20 201239

About Johan Hyllner

Johan Hyllner is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Genetics and Physiology, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (33 papers), CRISPR and Genetic Engineering (17 papers), Tissue Engineering and Regenerative Medicine (12 papers), 3D Printing in Biomedical Research (12 papers), Mesenchymal stem cell research (10 papers), Biomedical Ethics and Regulation (7 papers), Animal Genetics and Reproduction (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Genetics (371 citations), Molecular Biology (1.2k citations), Biomedical Engineering (645 citations), Surgery (516 citations) and Urology (72 citations). Johan Hyllner has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Peter Sartipy, Petter Björquist, Anders Lindahl, Catharina Ellerström, Henrik Semb, Camilla Karlsson, Natalie Mount, Stephen Ward, Panos Kefalas and Hilmar Viđarsson. Their work appears in journals such as Stem Cells, Tissue Engineering Part A, Journal of Biotechnology, Philosophical Transactions of the Royal Society B Biological Sciences and Fertility and Sterility.

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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