Juan E. Ugalde

1.6k citations
43 papers · 1.2k · h-index 18

Impact in

Papers in

Juan E. Ugalde

43 papers receiving 1.2k citations

Peers

Juan E. Ugalde
Comparison fields: 5 of 73
  • Endocrinology 354
  • Small Animals 462
  • Biotechnology 124
  • Food Science 240
  • Immunology 222
Replace Gabriel Briones with:
Gabriel Briones Argentina
Andrés E. Ciocchini Argentina
Kei‐ichi Uchiya Japan
Robert Child United States
Safia Ouahrani‐Bettache France
Dominic C. Mills United Kingdom
Lisa M. Harrison United States
Thomas E. Hickey United States
Josely F. Figueiredo United States
Manja Boehm Germany
Juan E. Ugalde relative to Gabriel Briones Argentina Gabriel Briones's profile →
Citations per field
00.5×2.6×
Gabriel Briones · 1×
Citations per year

Countries citing papers authored by Juan E. Ugalde

Since Specialization
Citations

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

Fields of papers citing papers by Juan E. Ugalde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan E. Ugalde. 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 Juan E. Ugalde. The network helps show where Juan E. Ugalde may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008158
2 2004147
3 2000104
4 200378
5 200372
6 200666
7 201263
8 201352
9 201045
10 199842
11 201130
12 201430
13 201326
14 201525
15 200220
16 201420
17 201418
18 200418
19 201316
20 201314

About Juan E. Ugalde

Juan E. Ugalde is a scholar working on Small Animals, Endocrinology, Epidemiology, Immunology and Ecology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (28 papers), Escherichia coli research studies (23 papers), Galectins and Cancer Biology (12 papers), Bacteriophages and microbial interactions (12 papers), Burkholderia infections and melioidosis (12 papers), Viral gastroenteritis research and epidemiology (7 papers), Salmonella and Campylobacter epidemiology (4 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). The work is most often cited by research in Endocrinology (354 citations), Small Animals (462 citations), Biotechnology (124 citations), Food Science (240 citations) and Immunology (222 citations). Juan E. Ugalde has collaborated with scholars based in Argentina, Peru and Canada. Frequent co-authors include Rodolfo A. Ugalde, Cecilia Czibener, Diego J. Comerci, Stefania Spanò, Jorge E. Galán, Mario F. Feldman, Armando J. Parodi, William Shepard, Pedro M. Alzari and Marcelo E. Guerin. Their work appears in journals such as Infection and Immunity, Journal of Clinical Microbiology, Cellular Microbiology, Microbial Pathogenesis and mBio.

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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