Fernando Malalana

413 total citations
31 papers, 230 citations indexed

About

Fernando Malalana is a scholar working on Equine, Small Animals and Epidemiology. According to data from OpenAlex, Fernando Malalana has authored 31 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Equine, 7 papers in Small Animals and 7 papers in Epidemiology. Recurrent topics in Fernando Malalana's work include Veterinary Equine Medical Research (10 papers), Leptospirosis research and findings (6 papers) and Mycobacterium research and diagnosis (4 papers). Fernando Malalana is often cited by papers focused on Veterinary Equine Medical Research (10 papers), Leptospirosis research and findings (6 papers) and Mycobacterium research and diagnosis (4 papers). Fernando Malalana collaborates with scholars based in United Kingdom, Ireland and Belgium. Fernando Malalana's co-authors include Catherine McGowan, Amira Stylianides, Derek C. Knottenbelt, S. A. McKANE, Gina Pinchbeck, R. Blundell, Katherine Kirkby, Tim Mair, Stefan Mack and Thomas W. Maddox and has published in prestigious journals such as The Veterinary Journal, Veterinary Record and Equine Veterinary Journal.

In The Last Decade

Fernando Malalana

24 papers receiving 212 citations

Peers

Fernando Malalana
Comparison fields: 5 of 62
  • Small Animals 85
  • Equine 65
  • Parasitology 57
  • Epidemiology 40
  • Ophthalmology 36
Peterson Triches Dornbusch Brazil
P. Riccaboni Italy
Marianne Richter Switzerland
A. G. MATTHEWS United Kingdom
Bianca S Bauer Canada
M. Novales Spain
Ann E. Dwyer United States
J. A. LONGSTAFFE United Kingdom
R. P. Kwapien United States
Maria Teresa Mandara Italy
Peterson Triches Dornbusch Brazil View profile →
Citations per field, relative to Fernando Malalana
Fernando Malalana · 1×
Citations per year, relative to Fernando Malalana
Fernando Malalana · 1×

Countries citing papers authored by Fernando Malalana

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Malalana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Malalana

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Malalana. A scholar is included among the top collaborators of Fernando Malalana 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 Fernando Malalana. Fernando Malalana 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
# Work Indexed citations
1 1
2 0
3 17
4 0
5 1
6 0
7 2
8 5
9 3
10 1
11 5
12 5
13 3
14 5
15 37
16 24
17 1
18 3
19 28
20 3

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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