M.E. Cuff
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Protein Structure and Dynamics 8
- RNA and protein synthesis mechanisms 6
- Biochemical and Molecular Research 3
-
- Enzyme Structure and Function 16
- Co-authors
- A. Joachimiak (20 shared papers)Karen I. Miller (3 shared papers)Kensal E. van Holde (2 shared papers)Wayne A. Hendrickson (3 shared papers)Aimee Shen (1 shared paper)Andrew L. Goodman (1 shared paper)Stephen Lory (1 shared paper)John J. Mekalanos (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (6 papers)Journal of Molecular Biology (4 papers)Journal of Structural and Functional Genomics (3 papers)Biochemistry (2 papers)Protein Science (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
M.E. Cuff
31 papers receiving 2.0k citations
M.E. Cuff's Hit Papers
Peers
Comparison fields: 5 of 93
- Endocrinology 797
- Molecular Medicine 295
- Structural Biology 63
- Immunology 336
- Molecular Biology 1.0k
Countries citing papers authored by M.E. Cuff
This map shows the geographic impact of M.E. Cuff'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 M.E. Cuff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.E. Cuff more than expected).
Fields of papers citing papers by M.E. Cuff
This network shows the impact of papers produced by M.E. Cuff. 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 M.E. Cuff. The network helps show where M.E. Cuff may publish in the future.
Co-authors
The 25 scholars most cited alongside M.E. Cuff, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Virulence Locus of Pseudomonas aeruginosa Encodes a Protein Secretion Apparatus Hit paper breakdown → | 2006 | 898 |
| 2 | 1998 | 337 | |
| 3 | 2008 | 138 | |
| 4 | 1999 | 112 | |
| 5 | 2016 | 96 | |
| 6 | 1998 | 87 | |
| 7 | 2015 | 54 | |
| 8 | 1989 | 50 | |
| 9 | 2018 | 47 | |
| 10 | 1999 | 35 | |
| 11 | 2013 | 31 | |
| 12 | 2006 | 26 | |
| 13 | 2010 | 26 | |
| 14 | 2013 | 21 | |
| 15 | 2010 | 20 | |
| 16 | 2006 | 14 | |
| 17 | 2015 | 12 | |
| 18 | 2014 | 12 | |
| 19 | 2012 | 12 | |
| 20 | 2017 | 9 |
About M.E. Cuff
M.E. Cuff is a scholar working on Molecular Biology, Materials Chemistry, Pharmacology, Biotechnology and Cell Biology, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (16 papers), Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (6 papers), Microbial Natural Products and Biosynthesis (4 papers), Biochemical and Molecular Research (3 papers), Folate and B Vitamins Research (2 papers), Plant nutrient uptake and metabolism (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Endocrinology (797 citations), Molecular Medicine (295 citations), Structural Biology (63 citations), Immunology (336 citations) and Molecular Biology (1.0k citations). M.E. Cuff has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include A. Joachimiak, Karen I. Miller, Kensal E. van Holde, Wayne A. Hendrickson, Aimee Shen, Andrew L. Goodman, Stephen Lory, John J. Mekalanos, Thomas Walz and G. Joachimiak. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Molecular Biology, Journal of Structural and Functional Genomics, Biochemistry and Protein Science.
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.