Jürgen Soutschek

11.0k citations
13 papers · 2.7k indexed · 2 hit papers · h-index 12
Topics
MicroRNA in disease regulation (9 papers)RNA Interference and Gene Delivery (5 papers)Circular RNAs in diseases (3 papers)

In The Last Decade

Jürgen Soutschek

12 papers receiving 2.7k citations

Hit Papers

MicroRNAs 103 and 107 regulate insulin sensitivity201020262015202020112010250500750

Peers

Jürgen Soutschek
Comparison fields: 5 of 96
  • Molecular Biology 2.0k
  • Cancer Research 1.9k
  • Oncology 267
  • Epidemiology 260
  • Immunology 186
Replace Yingqun Huang with:
Yingqun Huang United States
Joshua Babiarz United States
Manolis Maragkakis United States
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Alexandre Wagschal France
Orly L. Wapinski United States
Zhuo Fang Germany
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Dimple Notani India
Jürgen Soutschek relative to Yingqun Huang United States Yingqun Huang's profile →
Citations per field
00.5×1.5×
Yingqun Huang · 1×
Citations per year

Countries citing papers authored by Jürgen Soutschek

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Soutschek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Soutschek

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Soutschek. A scholar is included among the top collaborators of Jürgen Soutschek 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 Jürgen Soutschek. Jürgen Soutschek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1
MicroRNAs 103 and 107 regulate insulin sensitivitybreakdown →
842
2
Therapeutic silencing of miR-10b inhibits metastasis in a mouse mammary tumor model
33
3
Therapeutic silencing of miR-10b inhibits metastasis in a mouse mammary tumor modelbreakdown →
608
4 39
5 65
6 352
7 111
8 464
9 22
10 78
11
Therapeutic silencing of an endogenous gene by systemic administration of modified siRNAs
1
12 55
13 35

About Jürgen Soutschek

Jürgen Soutschek is a scholar working on Cancer Research, Aging and Aquatic Science, having authored 13 papers that have together received 2.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), RNA Interference and Gene Delivery (5 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (2.0k citations) and Aging (31 citations). Jürgen Soutschek has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Akin Akinc, Markus Stoffel, Mirko Trajkovski, Jean Hausser, Markus H. Heim, Mihaela Zavolan, Julie Teruya‐Feldstein, Ferenc Reinhardt, Balkrishen Bhat and Elizabeth Pan. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Biotechnology.

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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