Daniel J. Schu
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Endocrinology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 6
- Bacterial biofilms and quorum sensing 3
- RNA Research and Splicing 2
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Susan Gottesman (5 shared papers)Nicholas R. De Lay (1 shared paper)Aixia Zhang (2 shared papers)Gisela Storz (2 shared papers)Sarah A. Woodson (3 shared papers)Subrata Panja (2 shared papers)Andrew Santiago‐Frangos (2 shared papers)Brian Tjaden (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)Journal of Molecular Biology (2 papers)Toxicology and Applied Pharmacology (1 paper)Journal of Biological Chemistry (1 paper)Immunobiology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Daniel J. Schu
11 papers receiving 757 citations
Peers
Comparison fields: 5 of 53
- Genetics 515
- Endocrinology 64
- Ecology 284
- Molecular Biology 612
- Molecular Medicine 37
Countries citing papers authored by Daniel J. Schu
This map shows the geographic impact of Daniel J. Schu'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 Daniel J. Schu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Schu more than expected).
Fields of papers citing papers by Daniel J. Schu
This network shows the impact of papers produced by Daniel J. Schu. 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 Daniel J. Schu. The network helps show where Daniel J. Schu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Schu, 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 | 2013 | 218 | |
| 2 | 2015 | 147 | |
| 3 | 2013 | 116 | |
| 4 | 2013 | 98 | |
| 5 | 2016 | 87 | |
| 6 | 2009 | 36 | |
| 7 | 2015 | 26 | |
| 8 | 2021 | 14 | |
| 9 | 2011 | 12 | |
| 10 | 2014 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 |
About Daniel J. Schu
Daniel J. Schu is a scholar working on Molecular Biology, Genetics, Ecology, Genetics and Hematology, having authored 12 papers that have together received 758 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), RNA and protein synthesis mechanisms (6 papers), Bacteriophages and microbial interactions (4 papers), Bacterial biofilms and quorum sensing (3 papers), Complement system in diseases (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), RNA Research and Splicing (2 papers) and Microbial Inactivation Methods (1 paper). The work is most often cited by research in Genetics (515 citations), Endocrinology (64 citations), Ecology (284 citations), Molecular Biology (612 citations) and Molecular Medicine (37 citations). Daniel J. Schu has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Susan Gottesman, Nicholas R. De Lay, Aixia Zhang, Gisela Storz, Sarah A. Woodson, Subrata Panja, Andrew Santiago‐Frangos, Brian Tjaden, Kumari Kavita and Ann M. Stevens. Their work appears in journals such as Journal of Bacteriology, Journal of Molecular Biology, Toxicology and Applied Pharmacology, Journal of Biological Chemistry and Immunobiology.
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.