William Cramer
Impact in
- Endocrinology top 2%
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
-
- Lipid Membrane Structure and Behavior 20
- RNA and protein synthesis mechanisms 18
- Protein Structure and Dynamics 4
- Genetics 33
- Bacterial Genetics and Biotechnology 33
- Co-authors
- Stanisłav D. Zakharov (22 shared papers)David B. Knaff (2 shared papers)Yuri N. Antonenko (8 shared papers)Onkar Sharma (12 shared papers)Mariya V. Zhalnina (9 shared papers)Sergio E. Martinez (1 shared paper)Janet L. Smith (1 shared paper)Andrzej Szczepaniak (1 shared paper)
- Journals
- Biochemistry (9 papers)Journal of Bacteriology (7 papers)Journal of Biological Chemistry (4 papers)Structure (3 papers)The Journal of Membrane Biology (3 papers)
- Partner nations
- United StatesRussiaJapan
In The Last Decade
William Cramer
61 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 112
- Endocrinology 195
- Microbiology 221
- Molecular Biology 2.3k
- Genetics 902
- Molecular Medicine 96
Countries citing papers authored by William Cramer
This map shows the geographic impact of William Cramer'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 William Cramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Cramer more than expected).
Fields of papers citing papers by William Cramer
This network shows the impact of papers produced by William Cramer. 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 William Cramer. The network helps show where William Cramer may publish in the future.
Co-authors
The 25 scholars most cited alongside William Cramer, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 273 | |
| 2 | 1990 | 216 | |
| 3 | 1997 | 143 | |
| 4 | 2008 | 129 | |
| 5 | 2003 | 125 | |
| 6 | 1997 | 125 | |
| 7 | 2007 | 117 | |
| 8 | 1998 | 109 | |
| 9 | 2021 | 91 | |
| 10 | 2010 | 88 | |
| 11 | 2004 | 85 | |
| 12 | 1984 | 81 | |
| 13 | 2002 | 78 | |
| 14 | 1990 | 77 | |
| 15 | 1998 | 74 | |
| 16 | 2004 | 68 | |
| 17 | 2006 | 63 | |
| 18 | 2004 | 61 | |
| 19 | 1985 | 53 | |
| 20 | 1991 | 52 |
About William Cramer
William Cramer is a scholar working on Molecular Biology, Genetics, Microbiology, Endocrinology and Immunology, having authored 63 papers that have together received 3.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (33 papers), Lipid Membrane Structure and Behavior (20 papers), RNA and protein synthesis mechanisms (18 papers), Antimicrobial Peptides and Activities (12 papers), Escherichia coli research studies (7 papers), Probiotics and Fermented Foods (5 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Endocrinology (195 citations), Microbiology (221 citations), Molecular Biology (2.3k citations), Genetics (902 citations) and Molecular Medicine (96 citations). William Cramer has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Stanisłav D. Zakharov, David B. Knaff, Yuri N. Antonenko, Onkar Sharma, Mariya V. Zhalnina, Sergio E. Martinez, Janet L. Smith, Andrzej Szczepaniak, Victor L. Davidson and Kurt R. Brunden. Their work appears in journals such as Biochemistry, Journal of Bacteriology, Journal of Biological Chemistry, Structure and The Journal of Membrane Biology.
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.