Julia Béjar

1.2k citations
53 papers · 1.0k · h-index 18

Impact in

  • Immunology top 5%
    • Aquaculture disease management and microbiota
    • interferon and immune responses
    • Invertebrate Immune Response Mechanisms
    • Immune Response and Inflammation
    • Aquaculture Nutrition and Growth

Papers in

    • Aquaculture disease management and microbiota 35
    • interferon and immune responses 26
    • Invertebrate Immune Response Mechanisms 14
    • Immune Response and Inflammation 6
    • Aquaculture Nutrition and Growth 8

Julia Béjar

53 papers receiving 995 citations

Peers

Julia Béjar
Comparison fields: 5 of 70
  • Immunology 664
  • Aquatic Science 152
  • Animal Science and Zoology 134
  • Physiology 38
  • Genetics 220
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Julia Béjar relative to Kuntong Jia China Kuntong Jia's profile →
Citations per field
00.5×1.6×
Kuntong Jia · 1×
Citations per year

Countries citing papers authored by Julia Béjar

Since Specialization
Citations

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

Fields of papers citing papers by Julia Béjar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997120
2 200386
3 200985
4 201347
5 200246
6 200745
7 201243
8 200840
9 201134
10 200634
11 201328
12 201127
13 201226
14 201124
15 200622
16 199920
17 200520
18 201618
19 200718
20 201517

About Julia Béjar

Julia Béjar is a scholar working on Immunology, Aquatic Science, Genetics, Animal Science and Zoology and Molecular Biology, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (35 papers), interferon and immune responses (26 papers), Invertebrate Immune Response Mechanisms (14 papers), Animal Genetics and Reproduction (8 papers), CRISPR and Genetic Engineering (8 papers), Aquaculture Nutrition and Growth (8 papers), Animal Virus Infections Studies (6 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Immunology (664 citations), Aquatic Science (152 citations), Animal Science and Zoology (134 citations), Physiology (38 citations) and Genetics (220 citations). Julia Béjar has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include M. Carmen Álvarez, Juan José Borrego, Yunhan Hong, M. Carmen Alonso, Esther García‐Rosado, Manfred Schartl, Manuel Manchado, María P. Sepulcre, Víctoriano Mulero and Songlin Chen. Their work appears in journals such as Fish & Shellfish Immunology, Aquaculture, Veterinary Immunology and Immunopathology, Molecular Immunology and Marine Biotechnology.

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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