Joan E. Rippon

798 citations
12 papers · 676 · h-index 11

Impact in

Papers in

    • Bacteriophages and microbial interactions 7
    • Microbial infections and disease research 6

Joan E. Rippon

12 papers receiving 484 citations

Peers

Joan E. Rippon
Comparison fields: 5 of 80
  • Microbiology 144
  • Infectious Diseases 319
  • Clinical Biochemistry 97
  • Endocrinology 45
  • Ecology 207
Replace Ferne K. McCleskey with:
Ferne K. McCleskey United States
Johan A. Mæland Norway
Nan E. Pigott United States
K. A. McKay United Kingdom
J L Johnston United States
G. Dempster Canada
N. H. R. Eriksen Denmark
H. M. E. Frénay Netherlands
A. Vickery Australia
X.-G. Hou Japan
Joan E. Rippon relative to Ferne K. McCleskey United States Ferne K. McCleskey's profile →
Citations per field
00.5×6.7×
Ferne K. McCleskey · 1×
Citations per year

Countries citing papers authored by Joan E. Rippon

Since Specialization
Citations

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

Fields of papers citing papers by Joan E. Rippon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan E. Rippon. 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 Joan E. Rippon. The network helps show where Joan E. Rippon may publish in the future.

Co-authors

The 15 scholars most cited alongside Joan E. Rippon, 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 Joan E. Rippon Line = papers co-authored together Joan E. Rippon links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1952272
2 195392
3 195853
4 195949
5 195748
6 195647
7 195339
8 195726
9 195617
10 195414
11 195310
12 19529

About Joan E. Rippon

Joan E. Rippon is a scholar working on Ecology, Microbiology, Infectious Diseases, Molecular Biology and Epidemiology, having authored 12 papers that have together received 676 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (7 papers), Microbial infections and disease research (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Genomics and Phylogenetic Studies (2 papers), Neonatal and Maternal Infections (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Microbiology (144 citations), Infectious Diseases (319 citations), Clinical Biochemistry (97 citations), Endocrinology (45 citations) and Ecology (207 citations). Joan E. Rippon has collaborated with scholars based in Nepal, United Kingdom and Norway. Frequent co-authors include R. E. O. Williams, E. H. ASHESHOV, Steven J Edwards, D Sompolinsky, Per Oeding, Brian Wilson, Mary Barber, Th. M. Vogelsang, M. P. Jevons and Matthew A. Smith. Their work appears in journals such as The Lancet, The Journal of Infectious Diseases, Nature, Journal of Dairy Research and BJOG An International Journal of Obstetrics & Gynaecology.

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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