David Francis

4.8k total citations
122 papers, 3.8k citations indexed

About

David Francis is a scholar working on Endocrinology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, David Francis has authored 122 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Endocrinology, 37 papers in Infectious Diseases and 28 papers in Molecular Biology. Recurrent topics in David Francis's work include Escherichia coli research studies (48 papers), Viral gastroenteritis research and epidemiology (27 papers) and Clostridium difficile and Clostridium perfringens research (24 papers). David Francis is often cited by papers focused on Escherichia coli research studies (48 papers), Viral gastroenteritis research and epidemiology (27 papers) and Clostridium difficile and Clostridium perfringens research (24 papers). David Francis collaborates with scholars based in United States, Canada and China. David Francis's co-authors include Rodney A. Moxley, Weiping Zhang, Alan K. Erickson, Richard A. Wilson, James E. Collins, Diane R. Baker, Mojun Zhao, Stephen Hester, P. Grange and Emil M. Berberov and has published in prestigious journals such as Nature, Science and The EMBO Journal.

In The Last Decade

David Francis

121 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Francis United States 36 1.9k 1.6k 884 738 331 122 3.8k
Michael Jones United Kingdom 44 868 0.4× 1.1k 0.7× 916 1.0× 2.2k 3.0× 268 0.8× 134 4.6k
Michael E. Konkel United States 47 1.6k 0.8× 3.0k 1.9× 1.4k 1.6× 4.3k 5.9× 447 1.4× 129 6.6k
B. Brett Finlay Canada 34 1.3k 0.7× 1.0k 0.6× 2.2k 2.5× 800 1.1× 961 2.9× 59 4.6k
Mark P. Stevens United Kingdom 47 2.7k 1.4× 1.9k 1.2× 1.5k 1.7× 2.3k 3.1× 868 2.6× 162 7.5k
Richelle C. Charles United States 29 1.2k 0.6× 1.3k 0.9× 576 0.7× 781 1.1× 153 0.5× 83 3.1k
Alasdair Ivens United Kingdom 50 528 0.3× 700 0.4× 3.2k 3.6× 478 0.6× 882 2.7× 156 7.4k
José L. Puente Mexico 46 3.9k 2.0× 2.1k 1.3× 1.8k 2.0× 1.9k 2.5× 2.1k 6.3× 122 6.5k
Odir Antônio Dellagostin Brazil 40 218 0.1× 1.8k 1.1× 817 0.9× 527 0.7× 354 1.1× 254 5.6k
M.A. Smits Netherlands 41 231 0.1× 850 0.5× 3.0k 3.4× 635 0.9× 558 1.7× 153 6.2k
Anthony T. Maurelli United States 45 2.7k 1.4× 1.6k 1.0× 1.7k 1.9× 894 1.2× 1.8k 5.5× 103 5.6k

Countries citing papers authored by David Francis

Since Specialization
Citations

This map shows the geographic impact of David Francis'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 David Francis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Francis more than expected).

Fields of papers citing papers by David Francis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Francis. 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 David Francis. The network helps show where David Francis may publish in the future.

Co-authorship network of co-authors of David Francis

This figure shows the co-authorship network connecting the top 25 collaborators of David Francis. A scholar is included among the top collaborators of David Francis 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 David Francis. David Francis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Moxley, Rodney A., Tom W. Bargar, Stephen D. Kachman, Diane R. Baker, & David Francis. (2020). Intimate Attachment of Escherichia coli O157:H7 to Urinary Bladder Epithelium in the Gnotobiotic Piglet Model. Microorganisms. 8(2). 263–263. 8 indexed citations
2.
Sreenivasan, Chithra, Milton Thomas, Linto Antony, et al.. (2019). Development and characterization of swine primary respiratory epithelial cells and their susceptibility to infection by four influenza virus types. Virology. 528. 152–163. 20 indexed citations
3.
Wang, Zhao, Bing Huang, Milton Thomas, et al.. (2018). Detailed mapping of the linear B Cell epitopes of the hemagglutinin (HA) protein of swine influenza virus. Virology. 522. 131–137. 8 indexed citations
4.
Chen, Lin, Yujie Song, Ying Yang, et al.. (2016). Impact of acquisition of 16S rRNA methylase RmtB on the fitness of Escherichia coli. Journal of Global Antimicrobial Resistance. 6. 32–38. 1 indexed citations
5.
Taylor, Michael, Mojun Zhao, Patrick Cherubin, et al.. (2013). Grape Extracts Inhibit Multiple Events in the Cell Biology of Cholera Intoxication. PLoS ONE. 8(9). e73390–e73390. 23 indexed citations
6.
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8.
Zhao, Mojun, et al.. (2011). Intestinal resection and anastomosis in neonatal gnotobiotic piglets.. PubMed Central. 5 indexed citations
9.
Lin, Jun, et al.. (2009). Effect of bacitracin on tetracycline resistance in Escherichia coli and Salmonella. Veterinary Microbiology. 138(3-4). 353–360. 9 indexed citations
10.
George, Sajan D., Sébastien Vilain, Artur J.M. Rosa, et al.. (2007). Lectin binding profile of the small intestine of five-week-old pigs in response to the use of chlortetracycline as a growth promotant and under gnotobiotic conditions1,2. Journal of Animal Science. 85(7). 1640–1650. 11 indexed citations
11.
Butler, J.E., Jing Sun, Patrick Weber, et al.. (2002). Switch recombination in fetal porcine thymus is uncoupled from somatic mutation. Veterinary Immunology and Immunopathology. 87(3-4). 307–319. 9 indexed citations
12.
Francis, David. (1999). Colibacillosis in pigs and its diagnosis. Journal of Swine Health and Production. 7(5). 241–244. 10 indexed citations
13.
Francis, David, Alan K. Erickson, & P. Grange. (1999). K88 Adhesins of Enterotoxigenic Escherichia Coli and their Porcine Enterocyte Receptors. Advances in experimental medicine and biology. 473. 147–154. 20 indexed citations
14.
Francis, David, et al.. (1999). Connexin diversity and gap junction regulation by pHi. Developmental Genetics. 24(1-2). 123–136. 67 indexed citations
15.
Billey, Lloyd O., Alan K. Erickson, & David Francis. (1998). Multiple receptors on porcine intestinal epithelial cells for the three variants of Escherichia coli K88 fimbrial adhesin. Veterinary Microbiology. 59(2-3). 203–212. 34 indexed citations
16.
Baker, Diane R., Rodney A. Moxley, & David Francis. (1997). Variation in Virulence in the Gnotobiotic Pig Model of O157:H7 Escherichia Coli Strains of Bovine and Human Origin. Advances in experimental medicine and biology. 412. 53–58. 29 indexed citations
17.
Baker, Diane R., Lloyd O. Billey, & David Francis. (1997). Distribution of K88 Escherichia coli-adhesive and nonadhesive phenotypes among pigs of four breeds. Veterinary Microbiology. 54(2). 123–132. 74 indexed citations
18.
Miller, Craig T., John H. McDonald, & David Francis. (1996). Evolution of promoter sequences: Elements of a canonical promoter for prespore genes of dictyostelium. Journal of Molecular Evolution. 43(3). 185–193. 5 indexed citations
19.
Francis, David, et al.. (1991). Evaluation of a live avirulent Escherichia coli vaccine for K88+, LT+ enterotoxigenic colibacillosis in weaned pigs. American Journal of Veterinary Research. 52(7). 1051–1055. 44 indexed citations
20.
Francis, David, D. A. Kinden, & Gerald Μ. Buening. (1979). Characterization of the Inclusion Limiting Membrane of Anaplasma marginale by Immunoferritin Labeling. American Journal of Veterinary Research. 40(6). 777–782. 1 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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