Daniel Sylvester
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
Papers in
- Genetics 6
- Bacterial Genetics and Biotechnology 5
-
- Signaling Pathways in Disease 3
- Inflammasome and immune disorders 1
- Co-authors
- Derk J. Bergsma (5 shared papers)Mitchell S. Gross (4 shared papers)Nabil A. Elshourbagy (2 shared papers)John E. Hodgson (1 shared paper)S.P. Curnock (1 shared paper)Keith G. H. Dyke (1 shared paper)G P Livi (1 shared paper)Megan M. McLaughlin (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Journal of Bacteriology (2 papers)Journal of Biological Chemistry (2 papers)Protein Engineering Design and Selection (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Daniel Sylvester
15 papers receiving 922 citations
Peers
Comparison fields: 5 of 71
- Molecular Medicine 64
- Infectious Diseases 148
- Genetics 190
- Molecular Biology 390
- Physiology 146
Countries citing papers authored by Daniel Sylvester
This map shows the geographic impact of Daniel Sylvester'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 Sylvester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sylvester more than expected).
Fields of papers citing papers by Daniel Sylvester
This network shows the impact of papers produced by Daniel Sylvester. 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 Sylvester. The network helps show where Daniel Sylvester may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sylvester, 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 | 1991 | 171 | |
| 2 | 1993 | 141 | |
| 3 | 1994 | 120 | |
| 4 | 2000 | 118 | |
| 5 | 1996 | 82 | |
| 6 | 2003 | 77 | |
| 7 | 2000 | 72 | |
| 8 | 1990 | 62 | |
| 9 | 1992 | 56 | |
| 10 | 1993 | 35 | |
| 11 | T-cell receptor genes and insulin-dependent diabetes mellitus (IDDM): no evidence for linkage from affected sib pairs. | 1990 | 34 |
| 12 | 2001 | 29 | |
| 13 | 1989 | 27 | |
| 14 | 1990 | 19 | |
| 15 | 2001 | 13 | |
| 16 | 1991 | 1 |
About Daniel Sylvester
Daniel Sylvester is a scholar working on Genetics, Molecular Biology, Pharmacology, Infectious Diseases and Physiology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Signaling Pathways in Disease (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Malaria Research and Control (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Inflammasome and immune disorders (1 paper) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Molecular Medicine (64 citations), Infectious Diseases (148 citations), Genetics (190 citations), Molecular Biology (390 citations) and Physiology (146 citations). Daniel Sylvester has collaborated with scholars based in United States and Spain. Frequent co-authors include Derk J. Bergsma, Mitchell S. Gross, Nabil A. Elshourbagy, John E. Hodgson, S.P. Curnock, Keith G. H. Dyke, G P Livi, Megan M. McLaughlin, Edward R. Appelbaum and Alison F. Chalker. Their work appears in journals such as Nucleic Acids Research, Journal of Bacteriology, Journal of Biological Chemistry, Protein Engineering Design and Selection and The Journal of Infectious Diseases.
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.