M.E. Cuff
- Endocrinology top 0.5%
- Vibrio bacteria research studies 2
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 2
- Structural Biology top 5%
- Immunology top 10%
- Molecular Biology top 10%
- Protein Structure and Dynamics 7
- RNA and protein synthesis mechanisms 7
- Biochemical and Molecular Research 3
- Porphyrin Metabolism and Disorders 2
-
- Enzyme Structure and Function 15
-
- Microbial Natural Products and Biosynthesis 4
- Co-authors
- A. JoachimiakKaren I. MillerKensal E. van HoldeWayne A. HendricksonStefan RaunserJohn J. MekalanosCasey A. GiffordG. Joachimiak
- Journals
- Proteins Structure Function and Bioinformatics (6 papers)Journal of Molecular Biology (4 papers)Journal of Structural and Functional Genomics (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
M.E. Cuff
30 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Endocrinology 802
- Molecular Medicine 310
- Structural Biology 62
- Immunology 330
- Molecular Biology 979
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 95 | |
| 2 | 2015 | 12 | |
| 3 | 2013 | 19 | |
| 4 | 2012 | 11 | |
| 5 | 2011 | 5 | |
| 6 | 2010 | 26 | |
| 7 | 2010 | 20 | |
| 8 | 2010 | 4 | |
| 9 | 2007 | 1 | |
| 10 | 2007 | 0 | |
| 11 | A Virulence Locus of Pseudomonas aeruginosa Encodes a Protein Secretion Apparatusbreakdown → | 2006 | 865 |
| 12 | 2006 | 14 | |
| 13 | 2006 | 23 | |
| 14 | 2004 | 2 | |
| 15 | 1999 | 32 | |
| 16 | 1999 | 109 | |
| 17 | 1998 | 85 | |
| 18 | 1998 | 314 | |
| 19 | 1990 | 7 | |
| 20 | 1989 | 41 |
About M.E. Cuff
M.E. Cuff is a scholar working on Structural Biology, Endocrinology, Biotechnology, Molecular Medicine and Molecular Biology, having authored 31 papers that have together received 2.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (15 papers), Protein Structure and Dynamics (7 papers), RNA and protein synthesis mechanisms (7 papers), Microbial Natural Products and Biosynthesis (4 papers), Biochemical and Molecular Research (3 papers), Porphyrin Metabolism and Disorders (2 papers), Vibrio bacteria research studies (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Endocrinology (802 citations), Molecular Medicine (310 citations), Structural Biology (62 citations), Immunology (330 citations) and Molecular Biology (979 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, Stefan Raunser, John J. Mekalanos, Casey A. Gifford, G. Joachimiak, Thomas Walz and Min Zhou. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Molecular Biology, Journal of Structural and Functional Genomics, Structure 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.