Leonardo Susta

2.5k citations
92 papers · 1.8k indexed · h-index 22

Impact in

Papers in

Leonardo Susta

89 papers receiving 1.7k citations

Peers

Leonardo Susta
Comparison fields: 5 of 87
  • Animal Science and Zoology 896
  • Agronomy and Crop Science 520
  • Epidemiology 1.1k
  • Infectious Diseases 496
  • Microbiology 108
Replace Tahir Yaqub with:
Tahir Yaqub Pakistan
Dong-Jun An South Korea
Yantao Wu China
Domenico Buonavoglia Italy
Ana Cláudia Franco Brazil
Hsiang‐Jung Tsai Taiwan
Jamie Henningson United States
Iwona Markowska‐Daniel Poland
In-Pil Mo South Korea
Annamaria Pratelli Italy
Leonardo Susta relative to Tahir Yaqub Pakistan Tahir Yaqub's profile →
Citations per field
00.5×1.5×2.1×
Tahir Yaqub · 1×
Citations per year

Countries citing papers authored by Leonardo Susta

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Susta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20241
4 20233
5 20236
6 20230
7 202215
8 20229
9 20222
10 202231
11 20215
12 202110
13 20192
14 20197
15 201731
16 20167
17 201442
18 20144
19 201141
20 201014

About Leonardo Susta

Leonardo Susta is a scholar working on Animal Science and Zoology, Microbiology, Agronomy and Crop Science, Parasitology and Infectious Diseases, having authored 92 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virology and Viral Diseases (38 papers), Animal Virus Infections Studies (25 papers), Virus-based gene therapy research (16 papers), Animal Disease Management and Epidemiology (16 papers), Microbial infections and disease research (12 papers), Viral gastroenteritis research and epidemiology (12 papers), Animal Nutrition and Physiology (12 papers) and Vector-Borne Animal Diseases (12 papers). The work is most often cited by research in Animal Science and Zoology (896 citations), Agronomy and Crop Science (520 citations), Epidemiology (1.1k citations), Infectious Diseases (496 citations) and Microbiology (108 citations). Leonardo Susta has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Corrie C. Brown, Patti J. Miller, Claudio L. Afonso, Giovanni Cattoli, Stivalis Cárdenas-García, Calogero Terregino, Csaba Varga, David L. Suarez, Diego G. Diel and Ingrid Cornax. Their work appears in journals such as Veterinary Pathology, Poultry Science, Journal of Veterinary Diagnostic Investigation, Journal of the American Veterinary Medical Association and Journal of Clinical Microbiology.

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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