Michele Farris
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Pharmaceutical Science top 10%
Papers in
-
- Genomics and Phylogenetic Studies 4
- Biochemical and Structural Characterization 3
- Lipid Membrane Structure and Behavior 2
- Ecology 8
- Bacteriophages and microbial interactions 6
- Co-authors
- C. David O’Connor (8 shared papers)Julie B. Olson (2 shared papers)Andrew J. Grant (3 shared papers)Edward H. Kerns (1 shared paper)Susan Petusky (1 shared paper)Li Di (1 shared paper)Peter R. Alefounder (3 shared papers)P. H. Williams (1 shared paper)
- Journals
- Electrophoresis (3 papers)Molecular Microbiology (2 papers)PROTEOMICS (2 papers)Letters in Applied Microbiology (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Michele Farris
19 papers receiving 636 citations
Peers
Comparison fields: 5 of 93
- Endocrinology 127
- Pharmaceutical Science 45
- Molecular Medicine 27
- Food Science 92
- Molecular Biology 296
Countries citing papers authored by Michele Farris
This map shows the geographic impact of Michele Farris'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 Michele Farris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Farris more than expected).
Fields of papers citing papers by Michele Farris
This network shows the impact of papers produced by Michele Farris. 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 Michele Farris. The network helps show where Michele Farris may publish in the future.
Co-authors
The 25 scholars most cited alongside Michele Farris, 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 | 2004 | 200 | |
| 2 | 2003 | 96 | |
| 3 | 2007 | 85 | |
| 4 | 1998 | 80 | |
| 5 | 2001 | 75 | |
| 6 | 1997 | 26 | |
| 7 | 2000 | 20 | |
| 8 | 2010 | 17 | |
| 9 | 2018 | 16 | |
| 10 | 2003 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2016 | 6 | |
| 13 | 2014 | 5 | |
| 14 | 2020 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2000 | 2 | |
| 18 | 2001 | 2 | |
| 19 | 1998 | 1 |
About Michele Farris
Michele Farris is a scholar working on Molecular Biology, Ecology, Genetics, Infectious Diseases and Endocrinology, having authored 19 papers that have together received 655 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (6 papers), Genomics and Phylogenetic Studies (4 papers), Bacterial Genetics and Biotechnology (4 papers), Escherichia coli research studies (3 papers), Biochemical and Structural Characterization (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Endocrinology (127 citations), Pharmaceutical Science (45 citations), Molecular Medicine (27 citations), Food Science (92 citations) and Molecular Biology (296 citations). Michele Farris has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include C. David O’Connor, Julie B. Olson, Andrew J. Grant, Edward H. Kerns, Susan Petusky, Li Di, Peter R. Alefounder, P. H. Williams, Martin J. Woodward and Niamh Kinsella. Their work appears in journals such as Electrophoresis, Molecular Microbiology, PROTEOMICS, Letters in Applied Microbiology and Journal of Visualized Experiments.
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.