J. Schultz
- Aging top 5%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 4
- Protist diversity and phylogeny 2
- Bioinformatics and Genomic Networks 2
- RNA modifications and cancer 2
- Ubiquitin and proteasome pathways 2
- RNA and protein synthesis mechanisms 2
- Cell Biology top 5%
- Parasitology top 5%
- Plant Science top 5%
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- Lymphoma Diagnosis and Treatment 2
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- Amino Acid Enzymes and Metabolism 1
- Co-authors
- Chris P. PontingPeer BorkTobias MüllerThomas DandekarMatthias WolfL. AravindEugene V. KooninMarcus Dittrich
- Cited by
- AgingMolecular BiologyCell Biology
- Journals
- Nucleic Acids Research (4 papers)Trends in Biochemical Sciences (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- GermanyUnited StatesChile
In The Last Decade
J. Schultz
15 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Aging 47
- Molecular Biology 1.5k
- Cell Biology 245
- Parasitology 85
- Plant Science 467
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-authorship network
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 | 2016 | 22 | |
| 2 | 2007 | 135 | |
| 3 | 2007 | 46 | |
| 4 | 2007 | 43 | |
| 5 | 2006 | 162 | |
| 6 | 2003 | 15 | |
| 7 | SMART: a web-based tool for the study of genetically mobile domainsbreakdown → | 2000 | 1104 |
| 8 | 1999 | 264 | |
| 9 | 1999 | 260 | |
| 10 | SMART, a simple modular architecture research tool | 1998 | 57 |
| 11 | Cytoplasmic signalling domains | 1997 | 1 |
| 12 | 1995 | 15 | |
| 13 | 1994 | 32 | |
| 14 | 1992 | 33 | |
| 15 | 1956 | 1 |
About J. Schultz
J. Schultz is a scholar working on Physiology, Numerical Analysis and Fluid Flow and Transfer Processes, having authored 15 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Protist diversity and phylogeny (2 papers), Bioinformatics and Genomic Networks (2 papers), RNA modifications and cancer (2 papers), Ubiquitin and proteasome pathways (2 papers), Lymphoma Diagnosis and Treatment (2 papers), RNA and protein synthesis mechanisms (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Aging (47 citations), Molecular Biology (1.5k citations) and Cell Biology (245 citations). J. Schultz has collaborated with scholars based in Germany, United States and Chile. Frequent co-authors include Chris P. Ponting, Peer Bork, Tobias Müller, Thomas Dandekar, Matthias Wolf, L. Aravind, Eugene V. Koonin, Marcus Dittrich, A. Rosenwald and Georg W. Mayr. Their work appears in journals such as Nucleic Acids Research, Trends in Biochemical Sciences, Cold Spring Harbor Symposia on Quantitative Biology, European Journal of Biochemistry and Computers & Chemical Engineering.
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.