Sven Diederichs

20.6k citations
112 papers · 15.6k indexed · 7 hit papers · h-index 47
Topics
RNA modifications and cancer (46 papers)Cancer-related molecular mechanisms research (40 papers)RNA Research and Splicing (36 papers)

In The Last Decade

Sven Diederichs

108 papers receiving 15.4k citations

Hit Papers

Many roads to maturity: microRNA biogenesis pathways and ...20032026201020182009200320122012200850010001.5k2.0k

Peers

Sven Diederichs
Comparison fields: 5 of 144
  • Molecular Biology 12.4k
  • Cancer Research 11.1k
  • Oncology 1.9k
  • Pulmonary and Respiratory Medicine 1.2k
  • Immunology 784
Replace Leonardo Salmena with:
Leonardo Salmena Canada
David M. Feldser United States
Gregory J. Goodall Australia
Saravana M. Dhanasekaran United States
Pieter Mestdagh Belgium
Xianghuo He China
Yvonne Tay Singapore
Naohiko Seki Japan
Dan R. Robinson United States
Laura D. Attardi United States
Sven Diederichs relative to Leonardo Salmena Canada Leonardo Salmena's profile →
Citations per field
00.5×1.5×
Leonardo Salmena · 1×
Citations per year

Countries citing papers authored by Sven Diederichs

Since Specialization
Citations

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

Fields of papers citing papers by Sven Diederichs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Diederichs

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Diederichs. A scholar is included among the top collaborators of Sven Diederichs 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 Sven Diederichs. Sven Diederichs 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 0
2 7
3 16
4 2
5 7
6 29
7 46
8 62
9 28
10
The Noncoding RNA MALAT1 Is a Critical Regulator of the Metastasis Phenotype of Lung Cancer Cellsbreakdown →
1307
11 77
12 121
13 167
14 19
15 9
16 232
17 82
18 139
19 46
20 168

About Sven Diederichs

Sven Diederichs is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 112 papers that have together received 15.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (46 papers), Cancer-related molecular mechanisms research (40 papers) and RNA Research and Splicing (36 papers). The work is most often cited by research in Cancer Research (11.1k citations), Molecular Biology (12.4k citations) and Oncology (1.9k citations). Sven Diederichs has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Tony Gutschner, Julia Winter, Stephanie Jung, Daniel A. Haber, Sarina Keller, Richard I. Gregory, Monika Hämmerle, Carsten Müller‐Tidow, Hubert Serve and Matthias Groß. Their work appears in journals such as New England Journal of Medicine, 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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