Jörg Schultz
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies 26
- RNA and protein synthesis mechanisms 18
- Bioinformatics and Genomic Networks 8
- Machine Learning in Bioinformatics 6
- Protein Structure and Dynamics 6
- RNA Research and Splicing 6
- Ecology top 1%
- Cell Biology top 1%
- Aging top 5%
- Plant Science top 1%
- Plant and Biological Electrophysiology Studies 6
-
- Genetic diversity and population structure 10
- Co-authors
- Peer BorkChris P. PontingMatthias WolfTobias MüllerThomas DandekarFrank FörsterAlexander KellerRainer Hedrich
- Cited by
- Molecular BiologyEcologyCell Biology
- Journals
- BMC Bioinformatics (5 papers)Bioinformatics (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Jörg Schultz
74 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 5.2k
- Ecology 1.4k
- Cell Biology 845
- Aging 88
- Plant Science 1.7k
Countries citing papers authored by Jörg Schultz
This map shows the geographic impact of Jörg Schultz'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 Jörg Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Schultz more than expected).
Fields of papers citing papers by Jörg Schultz
This network shows the impact of papers produced by Jörg Schultz. 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 Jörg Schultz. The network helps show where Jörg Schultz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jörg Schultz, 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 | 5 | |
| 2 | 2023 | 6 | |
| 3 | 2020 | 28 | |
| 4 | The Copernicus Climate Change Service (C3S) contribution to Earth Observation Activities | 2019 | 1 |
| 5 | 2018 | 0 | |
| 6 | 2016 | 76 | |
| 7 | 2015 | 10 | |
| 8 | 2015 | 209 | |
| 9 | 2013 | 4 | |
| 10 | 2012 | 0 | |
| 11 | 2012 | 39 | |
| 12 | 2009 | 7 | |
| 13 | 2007 | 20 | |
| 14 | 2006 | 340 | |
| 15 | 2005 | 166 | |
| 16 | 2004 | 27 | |
| 17 | 2004 | 191 | |
| 18 | 2002 | 89 | |
| 19 | 2000 | 56 | |
| 20 | 1997 | 45 |
About Jörg Schultz
Jörg Schultz is a scholar working on Molecular Biology, Cell Biology, Aging, Genetics and Paleontology, having authored 77 papers that have together received 8.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (26 papers), RNA and protein synthesis mechanisms (18 papers), Genetic diversity and population structure (10 papers), Bioinformatics and Genomic Networks (8 papers), Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (6 papers), Plant and Biological Electrophysiology Studies (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Molecular Biology (5.2k citations), Ecology (1.4k citations), Cell Biology (845 citations), Aging (88 citations) and Plant Science (1.7k citations). Jörg Schultz has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Peer Bork, Chris P. Ponting, Matthias Wolf, Tobias Müller, Thomas Dandekar, Frank Förster, Alexander Keller, Rainer Hedrich, Thomas Hackl and Tina Schleicher. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Proceedings of the National Academy of Sciences, Nucleic Acids Research and RNA.
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.