David Francis

4.8k citations
122 papers · 3.8k · h-index 36

Impact in

  • Endocrinology top 0.1%
    • Escherichia coli research studies
    • Viral gastroenteritis research and epidemiology
    • Clostridium difficile and Clostridium perfringens research

Papers in

    • Escherichia coli research studies 48
    • Viral gastroenteritis research and epidemiology 27
    • Clostridium difficile and Clostridium perfringens research 24

David Francis

121 papers receiving 3.6k citations

Peers

David Francis
Comparison fields: 5 of 158
  • Endocrinology 1.9k
  • Infectious Diseases 1.6k
  • Molecular Medicine 276
  • Small Animals 309
  • Food Science 738
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David Francis relative to Michael Jones United Kingdom Michael Jones's profile →
Citations per field
00.5×1.5×2.2×
Michael Jones · 1×
Citations per year

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-authors

The 25 scholars most cited alongside David Francis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Francis Line = papers co-authored together David Francis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007213
2 1995165
3 1986151
4 2004113
5 1986112
6 2006104
7 200294
8 198991
9 198687
10 199783
11 199282
12 200978
13 200278
14 199774
15 200874
16 201071
17 197469
18 200968
19 199967
20 199466

About David Francis

David Francis is a scholar working on Endocrinology, Infectious Diseases, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Biomedical Engineering, having authored 122 papers that have together received 3.8k indexed citations. Recurring topics across this work include Escherichia coli research studies (48 papers), Viral gastroenteritis research and epidemiology (27 papers), Clostridium difficile and Clostridium perfringens research (24 papers), Biocrusts and Microbial Ecology (12 papers), Slime Mold and Myxomycetes Research (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Antibiotic Resistance in Bacteria (8 papers) and Protist diversity and phylogeny (7 papers). The work is most often cited by research in Endocrinology (1.9k citations), Infectious Diseases (1.6k citations), Molecular Medicine (276 citations), Small Animals (309 citations) and Food Science (738 citations). David Francis has collaborated with scholars based in United States, Canada and China. Frequent 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. Their work appears in journals such as Infection and Immunity, Veterinary Microbiology, American Journal of Veterinary Research, Advances in experimental medicine and biology and Developmental Biology.

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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