Daniel C. Stein
Impact in
- Microbiology top 0.2%
- Bacterial Infections and Vaccines
- Reproductive tract infections research
- Endocrinology top 2%
Papers in
- Microbiology 49
- Bacterial Infections and Vaccines 46
- Reproductive tract infections research 24
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- Glycosylation and Glycoproteins Research 10
- Protist diversity and phylogeny 7
- Co-authors
- Andrzej Piekarowicz (23 shared papers)Robert J. Danaher (7 shared papers)John S. Gunn (5 shared papers)Wenxia Song (16 shared papers)Frank E. Young (8 shared papers)Robin C. Sandlin (5 shared papers)Christina L. Burch (2 shared papers)James C. Levin (3 shared papers)
- Journals
- Journal of Bacteriology (21 papers)Gene (9 papers)Infection and Immunity (6 papers)Nucleic Acids Research (4 papers)BMC Microbiology (3 papers)
- Partner nations
- United StatesPolandTaiwan
In The Last Decade
Daniel C. Stein
103 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 122
- Microbiology 1.1k
- Endocrinology 207
- Molecular Medicine 180
- Genetics 456
- Molecular Biology 809
Countries citing papers authored by Daniel C. Stein
This map shows the geographic impact of Daniel C. Stein'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 C. Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Stein more than expected).
Fields of papers citing papers by Daniel C. Stein
This network shows the impact of papers produced by Daniel C. Stein. 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 C. Stein. The network helps show where Daniel C. Stein may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Stein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 109 | |
| 2 | 1994 | 102 | |
| 3 | 1998 | 89 | |
| 4 | 2003 | 81 | |
| 5 | 1996 | 81 | |
| 6 | 1991 | 80 | |
| 7 | 1995 | 77 | |
| 8 | 2000 | 63 | |
| 9 | 1997 | 53 | |
| 10 | 1995 | 50 | |
| 11 | 1984 | 48 | |
| 12 | 1991 | 45 | |
| 13 | 2009 | 45 | |
| 14 | 2012 | 45 | |
| 15 | 1995 | 42 | |
| 16 | 2007 | 41 | |
| 17 | 1988 | 40 | |
| 18 | 1991 | 40 | |
| 19 | 1983 | 38 | |
| 20 | 1999 | 38 |
About Daniel C. Stein
Daniel C. Stein is a scholar working on Microbiology, Molecular Biology, Genetics, Ecology and Immunology, having authored 103 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (46 papers), Reproductive tract infections research (24 papers), Bacterial Genetics and Biotechnology (22 papers), Bacteriophages and microbial interactions (13 papers), Legume Nitrogen Fixing Symbiosis (11 papers), Glycosylation and Glycoproteins Research (10 papers), Antibiotic Resistance in Bacteria (7 papers) and Protist diversity and phylogeny (7 papers). The work is most often cited by research in Microbiology (1.1k citations), Endocrinology (207 citations), Molecular Medicine (180 citations), Genetics (456 citations) and Molecular Biology (809 citations). Daniel C. Stein has collaborated with scholars based in United States, Poland and Taiwan. Frequent co-authors include Andrzej Piekarowicz, Robert J. Danaher, John S. Gunn, Wenxia Song, Frank E. Young, Robin C. Sandlin, Christina L. Burch, James C. Levin, Tim Cook and Thomas N. Denny. Their work appears in journals such as Journal of Bacteriology, Gene, Infection and Immunity, Nucleic Acids Research and BMC Microbiology.
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.