LA REDDACLIFF

1.3k citations
31 papers · 984 indexed · h-index 19

LA REDDACLIFF

31 papers receiving 914 citations

Peers

LA REDDACLIFF
Comparison fields: 5 of 75
  • Small Animals 319
  • Epidemiology 666
  • Infectious Diseases 328
  • Microbiology 77
  • Parasitology 77
Replace Fernando Paolicchi with:
Fernando Paolicchi Argentina
M. Fuertes Spain
Eran A. Raizman United States
J. González Spain
Jöerg Kinne United Arab Emirates
Caroline Argenta Pescador Brazil
Trevor Taylor Australia
V. Bitsch Denmark
Susie Muir United States
Alphons J.A.M. van Asten Netherlands
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-authorship network

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
#Work
1 201012
2 201055
3 201019
4 2006121
5 200559
6 200449
7 20049
8 20046
9 200315
10 200330
11 200384
12 200341
13 20032
14 200121
15 200068
16 199928
17 199925
18 199913
19 199922
20 199716

About LA REDDACLIFF

LA REDDACLIFF is a scholar working on Small Animals, Microbiology, Epidemiology, Infectious Diseases and Agronomy and Crop Science, having authored 31 papers that have together received 984 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (18 papers), Tuberculosis Research and Epidemiology (9 papers), Infectious Diseases and Mycology (8 papers), Ginseng Biological Effects and Applications (4 papers), Animal Disease Management and Epidemiology (4 papers), Microbial infections and disease research (4 papers), Vector-Borne Animal Diseases (3 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Small Animals (319 citations), Epidemiology (666 citations), Infectious Diseases (328 citations), Microbiology (77 citations) and Parasitology (77 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, Michelle M. Dennis, Peter D. Kirkland and W. J. Hartley. Their work appears in journals such as Australian Veterinary Journal, Veterinary Microbiology, Veterinary Pathology, Diseases of Aquatic Organisms and Veterinary Immunology and Immunopathology.

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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