Joerg Stelling
- Biophysics top 5%
- Molecular Biology top 10%
- Gene Regulatory Network Analysis 16
- Bioinformatics and Genomic Networks 6
- Microbial Metabolic Engineering and Bioproduction 6
- CRISPR and Genetic Engineering 4
- Protein Structure and Dynamics 3
-
- Circadian rhythm and melatonin 3
-
- Computational Drug Discovery Methods 3
-
- Light effects on plants 3
- Co-authors
- Fabian RudolfSteffen KlamtBernhard Ø. PalssonJason A. PapinStefan SchusterNathan D. PriceMario Andrea MarchisioDiana S. M. Ottoz
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Joerg Stelling
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Biophysics 93
- Molecular Biology 915
- Endocrine and Autonomic Systems 42
- Aging 8
- Computational Theory and Mathematics 62
Countries citing papers authored by Joerg Stelling
This map shows the geographic impact of Joerg Stelling'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 Joerg Stelling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joerg Stelling more than expected).
Fields of papers citing papers by Joerg Stelling
This network shows the impact of papers produced by Joerg Stelling. 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 Joerg Stelling. The network helps show where Joerg Stelling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joerg Stelling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2023 | 16 | |
| 3 | 2020 | 88 | |
| 4 | 2019 | 15 | |
| 5 | 2017 | 25 | |
| 6 | 2017 | 31 | |
| 7 | 2016 | 14 | |
| 8 | 2015 | 19 | |
| 9 | 2014 | 7 | |
| 10 | 2014 | 113 | |
| 11 | 2014 | 1 | |
| 12 | 2013 | 40 | |
| 13 | 2011 | 70 | |
| 14 | 2010 | 70 | |
| 15 | 2008 | 75 | |
| 16 | 2005 | 13 | |
| 17 | 2004 | 16 | |
| 18 | 2004 | 244 | |
| 19 | Robustness vs. identifiability of regulatory modules? The case of mitotic control in budding yeast cell cycle regulation | 2001 | 6 |
| 20 | 1996 | 3 |
About Joerg Stelling
Joerg Stelling is a scholar working on Endocrine and Autonomic Systems, Biophysics, Molecular Biology, Computational Theory and Mathematics and Orthopedics and Sports Medicine, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (16 papers), Bioinformatics and Genomic Networks (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), CRISPR and Genetic Engineering (4 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Circadian rhythm and melatonin (3 papers) and Light effects on plants (3 papers). The work is most often cited by research in Biophysics (93 citations), Molecular Biology (915 citations), Endocrine and Autonomic Systems (42 citations), Aging (8 citations) and Computational Theory and Mathematics (62 citations). Joerg Stelling has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Fabian Rudolf, Steffen Klamt, Bernhard Ø. Palsson, Jason A. Papin, Stefan Schuster, Nathan D. Price, Mario Andrea Marchisio, Diana S. M. Ottoz, Javier Santos‐Moreno and Yolanda Schaerli. Their work appears in journals such as Bioinformatics, BMC Systems Biology, Nature Communications, PLoS Computational Biology and Nucleic Acids Research.
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.