Ralf Jauch
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Renal and related cancers
- Epigenetics and DNA Methylation
Papers in
-
- Pluripotent Stem Cells Research 30
- CRISPR and Genetic Engineering 29
- Genomics and Chromatin Dynamics 22
- RNA Research and Splicing 15
- RNA and protein synthesis mechanisms 8
- Renal and related cancers 6
- Epigenetics and DNA Methylation 6
- Developmental Biology and Gene Regulation 5
- Co-authors
- Prasanna R. Kolatkar (22 shared papers)Calista Keow Leng Ng (14 shared papers)Yogesh Srivastava (10 shared papers)Andrew P. Hutchins (11 shared papers)Kamesh Narasimhan (11 shared papers)Lawrence W. Stanton (7 shared papers)Shyam Prabhakar (6 shared papers)Paaventhan Palasingam (5 shared papers)
In The Last Decade
Ralf Jauch
72 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 562
- Molecular Biology 2.3k
- Aging 26
- Genetics 306
- Oncology 178
Countries citing papers authored by Ralf Jauch
This map shows the geographic impact of Ralf Jauch'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 Ralf Jauch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Jauch more than expected).
Fields of papers citing papers by Ralf Jauch
This network shows the impact of papers produced by Ralf Jauch. 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 Ralf Jauch. The network helps show where Ralf Jauch may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralf Jauch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 205 | |
| 2 | 2015 | 156 | |
| 3 | 2013 | 150 | |
| 4 | 2013 | 127 | |
| 5 | 2007 | 108 | |
| 6 | 2010 | 96 | |
| 7 | 2011 | 85 | |
| 8 | 2016 | 84 | |
| 9 | 2012 | 75 | |
| 10 | 2007 | 68 | |
| 11 | 2009 | 65 | |
| 12 | 2013 | 65 | |
| 13 | 2015 | 64 | |
| 14 | 2010 | 61 | |
| 15 | 2019 | 60 | |
| 16 | 2011 | 58 | |
| 17 | 2014 | 56 | |
| 18 | 2006 | 55 | |
| 19 | 2018 | 53 | |
| 20 | 2013 | 52 |
About Ralf Jauch
Ralf Jauch is a scholar working on Molecular Biology, Materials Chemistry, Cancer Research, Genetics and Oncology, having authored 72 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (30 papers), CRISPR and Genetic Engineering (29 papers), Genomics and Chromatin Dynamics (22 papers), RNA Research and Splicing (15 papers), RNA and protein synthesis mechanisms (8 papers), Renal and related cancers (6 papers), Epigenetics and DNA Methylation (6 papers) and Developmental Biology and Gene Regulation (5 papers). The work is most often cited by research in Cancer Research (562 citations), Molecular Biology (2.3k citations), Aging (26 citations), Genetics (306 citations) and Oncology (178 citations). Ralf Jauch has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Prasanna R. Kolatkar, Calista Keow Leng Ng, Yogesh Srivastava, Andrew P. Hutchins, Kamesh Narasimhan, Lawrence W. Stanton, Shyam Prabhakar, Paaventhan Palasingam, Vlad Cojocaru and Linlin Hou. Their work appears in journals such as Nucleic Acids Research, Structure, Nature Communications, Journal of Molecular Biology and Stem Cells.
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.