Ursula Storb

4.9k citations
96 papers · 4.0k · h-index 34

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 15
    • DNA Repair Mechanisms 13
    • CRISPR and Genetic Engineering 11
    • Genomics and Chromatin Dynamics 9
    • T-cell and B-cell Immunology 39
    • Immune Cell Function and Interaction 24

Ursula Storb

94 papers receiving 3.8k citations

Peers

Ursula Storb
Comparison fields: 5 of 87
  • Immunology 2.2k
  • Radiology, Nuclear Medicine and Imaging 968
  • Molecular Biology 2.3k
  • Genetics 341
  • Genetics 688
Replace Cristina Rada with:
Cristina Rada United Kingdom
Susanna M. Lewis United States
Ton Logtenberg Netherlands
Condie E. Carmack United States
Jeanette Dilley United States
Barbara K. Birshtein United States
Ann J. Feeney United States
Gerald Siu United States
P A Biro United States
U Storb United States
Ursula Storb relative to Cristina Rada United Kingdom Cristina Rada's profile →
Citations per field
00.5×1.6×
Cristina Rada · 1×
Citations per year

Countries citing papers authored by Ursula Storb

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Storb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998439
2 1996357
3 1991192
4 1983161
5 1981155
6 1984148
7 2006137
8 2004121
9 2003100
10 198496
11 200693
12 199886
13 199984
14 199680
15 198180
16 200268
17 200265
18 198957
19 198252
20 200550

About Ursula Storb

Ursula Storb is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Genetics and Oncology, having authored 96 papers that have together received 4.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (39 papers), Monoclonal and Polyclonal Antibodies Research (29 papers), Immune Cell Function and Interaction (24 papers), Glycosylation and Glycoproteins Research (15 papers), DNA Repair Mechanisms (13 papers), CRISPR and Genetic Engineering (11 papers), Animal Genetics and Reproduction (11 papers) and Genomics and Chromatin Dynamics (9 papers). The work is most often cited by research in Immunology (2.2k citations), Radiology, Nuclear Medicine and Imaging (968 citations), Molecular Biology (2.3k citations), Genetics (341 citations) and Genetics (688 citations). Ursula Storb has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Andrew Peters, Hong Ming Shen, Erik Selsing, Ralph L. Brinster, Xiangdong Zhu, Beverly W. Baron, Grazyna Bozek, Nayun Kim, Benjamin Arp and Simonne Longerich. Their work appears in journals such as The Journal of Experimental Medicine, Molecular and Cellular Biology, Nature, Molecular Immunology and Biochemistry.

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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