Michele Farris

860 total citations
19 papers, 653 citations indexed

About

Michele Farris is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Michele Farris has authored 19 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Ecology and 4 papers in Genetics. Recurrent topics in Michele Farris's work include Bacteriophages and microbial interactions (7 papers), Genomics and Phylogenetic Studies (7 papers) and Bacterial Genetics and Biotechnology (4 papers). Michele Farris is often cited by papers focused on Bacteriophages and microbial interactions (7 papers), Genomics and Phylogenetic Studies (7 papers) and Bacterial Genetics and Biotechnology (4 papers). Michele Farris collaborates with scholars based in United States, United Kingdom and Austria. Michele Farris's co-authors include C. David O’Connor, Julie B. Olson, Andrew J. Grant, Edward H. Kerns, Li Di, Susan Petusky, Peter R. Alefounder, Martin J. Woodward, P. H. Williams and Niamh Kinsella and has published in prestigious journals such as The Journal of Immunology, Molecular Microbiology and BMC Bioinformatics.

In The Last Decade

Michele Farris

19 papers receiving 634 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michele Farris United States 10 307 130 116 100 93 19 653
Eizo Takahashi Japan 14 208 0.7× 182 1.4× 89 0.8× 88 0.9× 51 0.5× 43 641
Junping Fan China 13 386 1.3× 61 0.5× 153 1.3× 33 0.3× 37 0.4× 30 720
Maria I. Vizcaino United States 8 392 1.3× 81 0.6× 108 0.9× 46 0.5× 75 0.8× 9 579
Yaning Qi Singapore 9 406 1.3× 91 0.7× 179 1.5× 28 0.3× 35 0.4× 11 591
Raimo Franke Germany 15 465 1.5× 31 0.2× 115 1.0× 54 0.5× 48 0.5× 45 917
A.P. Kuzin United States 17 590 1.9× 84 0.6× 159 1.4× 22 0.2× 80 0.9× 21 1.1k
Alan R. Healy United States 14 456 1.5× 68 0.5× 139 1.2× 53 0.5× 22 0.2× 25 671
Niyogi Sk United States 15 399 1.3× 102 0.8× 65 0.6× 59 0.6× 50 0.5× 51 719
B. Pluvinage Canada 21 621 2.0× 43 0.3× 51 0.4× 108 1.1× 54 0.6× 42 1.0k
Suzanne S. Eveland United States 13 476 1.6× 60 0.5× 268 2.3× 33 0.3× 91 1.0× 16 756

Countries citing papers authored by Michele Farris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michele Farris

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Farris. A scholar is included among the top collaborators of Michele Farris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michele Farris. Michele Farris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Walonoski, Jason, Dylan Hall, Michele Farris, et al.. (2022). The “Coherent Data Set”: Combining Patient Data and Imaging in a Comprehensive, Synthetic Health Record. Electronics. 11(8). 1199–1199. 6 indexed citations
2.
Farris, Michele, et al.. (2020). Detection of CRISPR-mediated genome modifications through altered methylation patterns of CpG islands. BMC Genomics. 21(1). 856–856. 3 indexed citations
3.
Sessions, Richard B., Alasdair G. Kay, Michele Farris, et al.. (2018). Novel Anti-Inflammatory Peptides Based on Chemokine–Glycosaminoglycan Interactions Reduce Leukocyte Migration and Disease Severity in a Model of Rheumatoid Arthritis. The Journal of Immunology. 200(9). 3201–3217. 16 indexed citations
4.
Farris, Michele, et al.. (2018). TIA: algorithms for development of identity-linked SNP islands for analysis by massively parallel DNA sequencing. BMC Bioinformatics. 19(1). 126–126. 2 indexed citations
5.
Farris, Michele, et al.. (2016). Qualitative and Quantitative Assays for Detection and Characterization of Protein Antimicrobials. Journal of Visualized Experiments. 443–449. 6 indexed citations
6.
Farris, Michele, et al.. (2016). Qualitative and Quantitative Assays for Detection and Characterization of Protein Antimicrobials. Journal of Visualized Experiments. 3 indexed citations
7.
Farris, Michele & A D Steinberg. (2014). Mitrecin A , an endolysin‐like bacteriolytic enzyme from a newly isolated soil streptomycete. Letters in Applied Microbiology. 58(5). 493–502. 5 indexed citations
8.
Farris, Michele, Carol Duffy, Robert H. Findlay, & Julie B. Olson. (2010). Streptomyces scopuliridis sp. nov., a bacteriocin-producing soil streptomycete. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 61(9). 2112–2116. 17 indexed citations
9.
Farris, Michele & Julie B. Olson. (2007). Detection of Actinobacteria cultivated from environmental samples reveals bias in universal primers. Letters in Applied Microbiology. 45(4). 376–381. 84 indexed citations
10.
Kerns, Edward H., et al.. (2004). Combined Application of Parallel Artificial Membrane Permeability Assay and Caco-2 Permeability Assays in Drug Discovery. Journal of Pharmaceutical Sciences. 93(6). 1440–1453. 200 indexed citations
11.
Farris, Michele, Lucie S. Heath, Harry E. Heath, et al.. (2003). Expression of the genes for lysostaphin and lysostaphin resistance in streptococci. FEMS Microbiology Letters. 228(1). 115–119. 9 indexed citations
12.
Grant, Andrew J., Michele Farris, Peter R. Alefounder, et al.. (2003). Co‐ordination of pathogenicity island expression by the BipA GTPase in enteropathogenic Escherichia coli (EPEC). Molecular Microbiology. 48(2). 507–521. 96 indexed citations
13.
Fowler, Richard, Niamh Kinsella, Gillian Howell, et al.. (2001). Proteomic detection of PhoPQ- and acid-mediated repression ofSalmonella motility. PROTEOMICS. 1(4). 597–607. 75 indexed citations
14.
Adams, Phillip, Richard Fowler, Niamh Kinsella, et al.. (2001). Proteomic detection of PhoPQ- and acid-mediated repression of Salmonella motility. PROTEOMICS. 1(4). 597–607. 2 indexed citations
15.
O’Connor, C. David, Peter R. Alefounder, Michele Farris, et al.. (2000). The analysis of microbial proteomes: Strategies and data exploitation. Electrophoresis. 21(6). 1178–1186. 2 indexed citations
16.
O’Connor, C. David, Peter R. Alefounder, Michele Farris, et al.. (2000). The analysis of microbial proteomes: Strategies and data exploitation. Electrophoresis. 21(6). 1178–1186. 20 indexed citations
17.
Farris, Michele, et al.. (1998). BipA: a tyrosine‐phosphorylated GTPase that mediates interactions between enteropathogenic Escherichia coli (EPEC) and epithelial cells. Molecular Microbiology. 28(2). 265–279. 80 indexed citations
18.
Farris, Michele, et al.. (1998). BipA affects Ca++ fluxes and phosphorylation of the translocated intimin receptor (Tir/Hp90) in host epithelial cells infected with enteropathogenic E. coli. Biochemical Society Transactions. 26(3). S225–S225. 1 indexed citations
19.
O’Connor, C. David, et al.. (1997). The proteome of Salmonella enterica serovar typhimurium: Current progress on its determination and some applications. Electrophoresis. 18(8). 1483–1490. 26 indexed citations

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.

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