Iván Díaz

3.3k citations
61 papers · 2.5k · h-index 24

Impact in

Papers in

Iván Díaz

60 papers receiving 2.5k citations

Peers

Iván Díaz
Comparison fields: 5 of 118
  • Animal Science and Zoology 1.8k
  • Infectious Diseases 1.8k
  • Genetics 1.3k
  • Agronomy and Crop Science 357
  • Microbiology 93
Replace Ping Jiang with:
Ping Jiang China
Tanya LeRoith United States
Laura C. Miller United States
Daniël Desmecht Belgium
Ningguo Feng United States
D. O. Rae United States
R.H. Johnson Australia
David E. Reed Canada
Christiane Herden Germany
Lucie Lamontagne Canada
Iván Díaz relative to Ping Jiang China Ping Jiang's profile →
Citations per field
00.5×1.5×2.5×
Ping Jiang · 1×
Citations per year

Countries citing papers authored by Iván Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Iván Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007270
2 2007260
3 2005180
4 2018147
5 2006141
6 2010110
7 2020104
8 201192
9 201087
10 200885
11 201178
12 201178
13 200971
14 200571
15 201270
16 201266
17 200961
18 200545
19 201442
20 201337

About Iván Díaz

Iván Díaz is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 61 papers that have together received 2.5k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (45 papers), Viral gastroenteritis research and epidemiology (37 papers), Virus-based gene therapy research (28 papers), Animal Disease Management and Epidemiology (11 papers), Viral Infections and Immunology Research (9 papers), Heart Rate Variability and Autonomic Control (5 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Animal Science and Zoology (1.8k citations), Infectious Diseases (1.8k citations), Genetics (1.3k citations), Agronomy and Crop Science (357 citations) and Microbiology (93 citations). Iván Díaz has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include Enric Mateu, Laila Darwich, Joan Pujols, Marga Martı́n, Mariona Gimeno, Fernando A. Osorio, Jane Christopher‐Hennings, Mónica Brito, Federico A. Zuckermann and Alan R. Doster. Their work appears in journals such as Veterinary Microbiology, The Veterinary Journal, Transboundary and Emerging Diseases, Veterinary Immunology and Immunopathology and Frontiers in Immunology.

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.

Explore authors with similar magnitude of impact