LA REDDACLIFF

31 papers receiving 963 citations

Peers

LA REDDACLIFF
Comparison fields: 5 of 79
  • Small Animals 290
  • Epidemiology 675
  • Infectious Diseases 322
  • Parasitology 84
  • Microbiology 70
Replace Fernando Paolicchi with:
Fernando Paolicchi Argentina
Jöerg Kinne United Arab Emirates
Eran A. Raizman United States
V. Bitsch Denmark
Caroline Argenta Pescador Brazil
N.J.L. Gilmour United Kingdom
Trevor Taylor Australia
Alphons J.A.M. van Asten Netherlands
Cheville Nf United States
R. C. Tustin South Africa
LA REDDACLIFF relative to Fernando Paolicchi Argentina Fernando Paolicchi's profile →
Citations per field
00.5×1.5×
Fernando Paolicchi · 1×
Citations per year

Countries citing papers authored by LA REDDACLIFF

Since Specialization
Citations

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

Fields of papers citing papers by LA REDDACLIFF

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside LA REDDACLIFF, 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 LA REDDACLIFF Line = papers co-authored together LA REDDACLIFF links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006125
2 200384
3 200070
4
Encephalomyocarditis virus infections in an Australian zoo.
199769
5 200559
6 201055
7 200055
8 199654
9 200449
10 199946
11 200341
12 199936
13 200333
14 199932
15 200726
16 199925
17 200122
18 201022
19 200521
20 199721

About LA REDDACLIFF

LA REDDACLIFF is a scholar working on Epidemiology, Infectious Diseases, Small Animals, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (18 papers), Tuberculosis Research and Epidemiology (6 papers), Infectious Diseases and Mycology (5 papers), Vector-Borne Animal Diseases (3 papers), Microbial infections and disease research (3 papers), Toxoplasma gondii Research Studies (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Ginseng Biological Effects and Applications (2 papers). The work is most often cited by research in Small Animals (290 citations), Epidemiology (675 citations), Infectious Diseases (322 citations), Parasitology (84 citations) and Microbiology (70 citations). LA REDDACLIFF has collaborated with scholars based in Australia, Hungary and United States. Frequent co-authors include Richard J. Whittington, RJ Whittington, Peter Windsor, Ian B. Marsh, J Eppleston, V. SAUNDERS, Stephen L. Jones, Peter D. Kirkland, Michelle M. Dennis and R. L. Reece. Their work appears in journals such as Australian Veterinary Journal, Veterinary Microbiology, Journal of Microbiological Methods, New Zealand Veterinary Journal and Livestock Science.

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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