Gerhard Schratt

9.7k citations
72 papers · 6.7k indexed · 1 hit paper · h-index 38
Topics
MicroRNA in disease regulation (44 papers)Circular RNAs in diseases (29 papers)RNA Research and Splicing (27 papers)

In The Last Decade

Gerhard Schratt

72 papers receiving 6.7k citations

Hit Papers

A brain-specific microRNA regulates dendritic spine devel...200620262012201920064008001.2k

Peers

Gerhard Schratt
Comparison fields: 5 of 127
  • Molecular Biology 4.9k
  • Cancer Research 3.3k
  • Cellular and Molecular Neuroscience 1.1k
  • Genetics 824
  • Developmental Neuroscience 774
Replace Junjie U. Guo with:
Junjie U. Guo United States
Peter L. Oliver United Kingdom
Michael Kiebler Germany
Kai‐Christian Sonntag United States
Yi Eve Sun United States
Deepak P. Srivastava United Kingdom
Stanislav S. Zakharenko United States
Johan Jakobsson Sweden
Yue Feng United States
Gerhard Schratt relative to Junjie U. Guo United States Junjie U. Guo's profile →
Citations per field
00.5×1.5×2.3×
Junjie U. Guo · 1×
Citations per year

Countries citing papers authored by Gerhard Schratt

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Schratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Schratt

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Schratt. A scholar is included among the top collaborators of Gerhard Schratt 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 Gerhard Schratt. Gerhard Schratt 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
#WorkIndexed citations
1 1
2 2
3 1
4 1
5 1
6 6
7 9
8 17
9 2
10 18
11 10
12 39
13 80
14 184
15 391
16 38
17 57
18 134
19 123
20 153

About Gerhard Schratt

Gerhard Schratt is a scholar working on Cancer Research, Developmental Neuroscience and Molecular Biology, having authored 72 papers that have together received 6.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (44 papers), Circular RNAs in diseases (29 papers) and RNA Research and Splicing (27 papers). The work is most often cited by research in Cancer Research (3.3k citations), Developmental Neuroscience (774 citations) and Molecular Biology (4.9k citations). Gerhard Schratt has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Michael E. Greenberg, Elizabeth A. Nigh, Mary E. Sabatini, Michael Kiebler, Roberto Fiore, Gabriele Siegel, Alfred Nordheim, Silvia Bicker, Reuben Saba and Marek Rajman. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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