Ursula Just

2.5k citations
56 papers · 2.0k indexed · h-index 26
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation 6
    • Developmental Biology and Gene Regulation 10
    • Pluripotent Stem Cells Research 8
    • Epigenetics and DNA Methylation 7
    • Glycosylation and Glycoproteins Research 6
  • Immunology top 10%
    • Immunotherapy and Immune Responses 8
    • T-cell and B-cell Immunology 7
  • Genetics top 10%
    • Virus-based gene therapy research 10

Ursula Just

54 papers receiving 1.9k citations

Peers

Ursula Just
Comparison fields: 5 of 99
  • Hematology 226
  • Molecular Biology 1.3k
  • Immunology 356
  • Cell Biology 233
  • Genetics 139
Replace Maria Marone with:
Maria Marone Italy
Jonathan Frampton United Kingdom
George A. Ricca United States
Mitsuo Nishikawa Japan
Gerlinde Stark Switzerland
Jiwang Zhang United States
Sylvia Kaden Germany
Josette Badet France
Amr M. Ghaleb United States
Beth B. McConnell United States
Ursula Just relative to Maria Marone Italy Maria Marone's profile →
Citations per field
00.5×2.9×
Maria Marone · 1×
Citations per year

Countries citing papers authored by Ursula Just

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Just

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201613
2 201143
3 201074
4
Induction of chondrogenic differentiation after Notch1 activation is regulated by Sox9.
20101
5 200911
6 200827
7 200716
8 200714
9 200697
10 200677
11 200388
12 200357
13 20005
14 200029
15 199717
16 199625
17 199322
18 199315
19 199137
20 199180

About Ursula Just

Ursula Just is a scholar working on Hematology, Cell Biology, Immunology, Molecular Biology and Genetics, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Developmental Biology and Gene Regulation (10 papers), Immunotherapy and Immune Responses (8 papers), Pluripotent Stem Cells Research (8 papers), Epigenetics and DNA Methylation (7 papers), T-cell and B-cell Immunology (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Hematopoietic Stem Cell Transplantation (6 papers). The work is most often cited by research in Hematology (226 citations), Molecular Biology (1.3k citations), Immunology (356 citations), Cell Biology (233 citations) and Genetics (139 citations). Ursula Just has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Timm Schroeder, Ralf Schwanbeck, Wolfram Ostertag, Simone Martini, Georg W. Bornkamm, Carol Stocking, Thomas Höfken, Elaine Spooncer, Nikolaus Rieber and Hella Kohlhof. Their work appears in journals such as Blood, Experimental Hematology, Biochemical Journal, Molecular and Cellular Biology and Stem Cells.

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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