Ulrike Gaul

11.6k total citations · 2 hit papers
60 papers, 9.0k citations indexed

About

Ulrike Gaul is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Ulrike Gaul has authored 60 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 8 papers in Cell Biology. Recurrent topics in Ulrike Gaul's work include Genomics and Chromatin Dynamics (19 papers), Developmental Biology and Gene Regulation (18 papers) and RNA Research and Splicing (15 papers). Ulrike Gaul is often cited by papers focused on Genomics and Chromatin Dynamics (19 papers), Developmental Biology and Gene Regulation (18 papers) and RNA Research and Splicing (15 papers). Ulrike Gaul collaborates with scholars based in United States, Germany and Israel. Ulrike Gaul's co-authors include Ulrich Unnerstall, Debora S. Marks, Chris Sander, Thomas Tuschl, Bino John, Anton J. Enright, Eran Segal, Nicola Iovino, Michael A. Kertesz and Herbert Jäckle and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ulrike Gaul

59 papers receiving 8.8k citations

Hit Papers

MicroRNA targets in Drosophila 2003 2026 2010 2018 2003 2007 500 1000 1.5k 2.0k 2.5k

Peers

Ulrike Gaul
Comparison fields: 5 of 140
  • Molecular Biology 7.0k
  • Cancer Research 3.7k
  • Cellular and Molecular Neuroscience 1.1k
  • Genetics 866
  • Plant Science 861
Replace Brenton R. Graveley with:
Brenton R. Graveley United States
Jean‐Paul Concordet France
Eivind Valen Norway
Bruce A. Hay United States
Antonio J. Giráldez United States
Joseph C. Corbo United States
Anne Ephrussi Germany
Eugène Berezikov Netherlands
Boris Lenhard United Kingdom
Lynne E. Maquat United States
Brenton R. Graveley United States View profile →
Citations per field, relative to Ulrike Gaul
Ulrike Gaul · 1×
Citations per year, relative to Ulrike Gaul
Ulrike Gaul · 1×

Countries citing papers authored by Ulrike Gaul

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Gaul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Gaul

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Gaul. A scholar is included among the top collaborators of Ulrike Gaul based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ulrike Gaul. Ulrike Gaul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 15
2 3
3 14
4 1
5 36
6 2
7 41
8 3
9 184
10 158
11
The role of site accessibility in microRNA target recognition breakdown →
1954
12 185
13 2
14 37
15 34
16 10
17 22
18 34
19 11
20 13

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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