Jaime Figueroa

2.6k citations
96 papers · 2.1k · h-index 25

Impact in

  • Immunology top 2%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms
    • Microbial infections and disease research

Papers in

Jaime Figueroa

94 papers receiving 2.0k citations

Peers

Jaime Figueroa
Comparison fields: 5 of 114
  • Immunology 876
  • Microbiology 175
  • Aquatic Science 213
  • Endocrinology 144
  • Reproductive Medicine 193
Replace Alex Romero with:
Alex Romero Chile
David L. Adelson Australia
Evanguedes Kalapothakis Brazil
Peng Xiao China
Anna Maria Fausto Italy
Zhixing Feng China
Qian Ren China
Jen‐Leih Wu Taiwan
Yaping Wang China
Е. Д. Свердлов Russia
Jaime Figueroa relative to Alex Romero Chile Alex Romero's profile →
Citations per field
00.5×8.4×
Alex Romero · 1×
Citations per year

Countries citing papers authored by Jaime Figueroa

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Figueroa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005140
2 1989130
3 201182
4 200479
5 201270
6 200664
7 201660
8 201557
9 201153
10 201751
11 200444
12 201944
13 196542
14 201041
15 201537
16 199836
17 200635
18 199035
19 198933
20 198933

About Jaime Figueroa

Jaime Figueroa is a scholar working on Immunology, Molecular Biology, Ecology, Cancer Research and Cellular and Molecular Neuroscience, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (42 papers), Aquaculture Nutrition and Growth (11 papers), Microbial infections and disease research (11 papers), Invertebrate Immune Response Mechanisms (8 papers), Physiological and biochemical adaptations (8 papers), Neurobiology and Insect Physiology Research (7 papers), MicroRNA in disease regulation (7 papers) and Vibrio bacteria research studies (6 papers). The work is most often cited by research in Immunology (876 citations), Microbiology (175 citations), Aquatic Science (213 citations), Endocrinology (144 citations) and Reproductive Medicine (193 citations). Jaime Figueroa has collaborated with scholars based in Chile, United States and Spain. Frequent co-authors include Alejandro J. Yáñez, Alex Romero, Luis O. Burzio, Ilona I. Concha, Víctor H. Olavarría, Denise Haussmann, Gudrun Kausel, Juan G. Cárcamo, Rubén Avendaño‐Herrera and Mónica Brito. Their work appears in journals such as Journal of Fish Diseases, General and Comparative Endocrinology, Journal of Cellular Biochemistry, Diseases of Aquatic Organisms and Cell and Tissue Research.

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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