Ute Laessing

879 citations
15 papers · 754 · h-index 11

Impact in

Papers in

Ute Laessing

15 papers receiving 739 citations

Peers

Ute Laessing
Comparison fields: 5 of 77
  • Cell Biology 385
  • Developmental Neuroscience 88
  • Cellular and Molecular Neuroscience 176
  • Cardiology and Cardiovascular Medicine 152
  • Molecular Biology 385
Replace Aliana Egeo with:
Aliana Egeo Italy
Sophie Currier United States
Dorota Gruber United States
Ryan E. Lamont Canada
Christiane Bachmann Germany
Marco Schiavone Italy
Geng‐Xian Shi United States
Kiyomasa Nishii Japan
S Ahern United States
Jane S. Tuttle United States
Ute Laessing relative to Aliana Egeo Italy Aliana Egeo's profile →
Citations per field
00.5×4.9×
Aliana Egeo · 1×
Citations per year

Countries citing papers authored by Ute Laessing

Since Specialization
Citations

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

Fields of papers citing papers by Ute Laessing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1998217
2 1997180
3 201395
4 199460
5 199658
6 200236
7 199921
8 199721
9 199419
10 199915
11 201815
12 20188
13 20176
14
Expression of CD36 by mouse marginal zone B cell
20052
15 20201

About Ute Laessing

Ute Laessing is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 754 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers), Nerve injury and regeneration (2 papers), Chemokine receptors and signaling (2 papers), Retinal Development and Disorders (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Caveolin-1 and cellular processes (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Cell Biology (385 citations), Developmental Neuroscience (88 citations), Cellular and Molecular Neuroscience (176 citations), Cardiology and Cardiovascular Medicine (152 citations) and Molecular Biology (385 citations). Ute Laessing has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Claudia A. O. Stuermer, Friedrich Lottspeich, Thomas Schulte, Dirk Lang, Richard Ankerhold, Helmut Plattner, Silvia Lommel, Marianne Wiechers, Marion Jung and Suzanne Giordano. Their work appears in journals such as Differentiation, Transplantation, European Heart Journal, The Journal of Cell Biology and The Journal of Comparative Neurology.

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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