J. Schultz
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Photosynthetic Processes and Mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 4
- RNA modifications and cancer 2
- Bioinformatics and Genomic Networks 2
- Protist diversity and phylogeny 2
- RNA and protein synthesis mechanisms 2
- Ubiquitin and proteasome pathways 2
- Co-authors
- Chris Paul Ponting (4 shared papers)Peer Bork (4 shared papers)Thomas Dandekar (4 shared papers)Tobias Müller (4 shared papers)Matthias Wolf (2 shared papers)L. Aravind (1 shared paper)Eugene V. Koonin (1 shared paper)Marcus T. Dittrich (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Trends in Biochemical Sciences (2 papers)Plant Biology (1 paper)Journal of Molecular Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesChile
In The Last Decade
J. Schultz
14 papers receiving 2.2k citations
J. Schultz's Hit Papers
Peers
Comparison fields: 5 of 118
- Aging 44
- Molecular Biology 1.4k
- Cell Biology 234
- Parasitology 81
- Plant Science 445
Countries citing papers authored by J. Schultz
This map shows the geographic impact of J. 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 J. Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Schultz more than expected).
Fields of papers citing papers by J. Schultz
This network shows the impact of papers produced by J. 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 J. Schultz. The network helps show where J. Schultz may publish in the future.
Co-authors
The 25 scholars most cited alongside J. 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 | SMART: a web-based tool for the study of genetically mobile domains Hit paper breakdown → | 2000 | 1128 |
| 2 | 1999 | 272 | |
| 3 | 1999 | 270 | |
| 4 | 2006 | 164 | |
| 5 | 2007 | 139 | |
| 6 | SMART, a simple modular architecture research tool | 1998 | 55 |
| 7 | 2007 | 51 | |
| 8 | 2007 | 49 | |
| 9 | 1992 | 35 | |
| 10 | 1994 | 32 | |
| 11 | 2016 | 24 | |
| 12 | 1995 | 16 | |
| 13 | 2003 | 16 | |
| 14 | Cytoplasmic signalling domains | 1997 | 1 |
About J. Schultz
J. Schultz is a scholar working on Molecular Biology, Cell Biology, Pathology and Forensic Medicine, Physiology and Plant Science, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Bioinformatics and Genomic Networks (2 papers), Protist diversity and phylogeny (2 papers), RNA and protein synthesis mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers) and Rheology and Fluid Dynamics Studies (1 paper). The work is most often cited by research in Aging (44 citations), Molecular Biology (1.4k citations), Cell Biology (234 citations), Parasitology (81 citations) and Plant Science (445 citations). J. Schultz has collaborated with scholars based in Germany, United States and Chile. Frequent co-authors include Chris Paul Ponting, Peer Bork, Thomas Dandekar, Tobias Müller, Matthias Wolf, L. Aravind, Eugene V. Koonin, Marcus T. Dittrich, Andreas Rosenwald and Georg W. Mayr. Their work appears in journals such as Nucleic Acids Research, Trends in Biochemical Sciences, Plant Biology, Journal of Molecular Biology and Journal of Biological Chemistry.
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.