Julia Béjar

1.2k citations
51 papers · 877 · 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 33
    • interferon and immune responses 26
    • Invertebrate Immune Response Mechanisms 13
    • Immune Response and Inflammation 6
    • CRISPR and Genetic Engineering 8

Julia Béjar

51 papers receiving 854 citations

Peers

Julia Béjar
Comparison fields: 5 of 63
  • Immunology 564
  • Aquatic Science 117
  • Animal Science and Zoology 113
  • Physiology 37
  • Genetics 201
Replace Libo He with:
Libo He China
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Peng Jia China
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María del Mar Ortega-Villaizán Spain
Dongmei Ma China
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Ramy R. Avtalion Israel
Tomonori Somamoto Japan
Julia Béjar relative to Libo He China Libo He's profile →
Citations per field
00.5×1.5×1.8×
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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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997118
2 200382
3 200745
4 200242
5 201242
6 201341
7 200838
8 201133
9 200630
10 201328
11 201123
12 201123
13 201221
14 200520
15 200620
16 201618
17 199918
18 200718
19 201416
20 201516

About Julia Béjar

Julia Béjar is a scholar working on Immunology, Molecular Biology, Genetics, Aquatic Science and Animal Science and Zoology, having authored 51 papers that have together received 877 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (33 papers), interferon and immune responses (26 papers), Invertebrate Immune Response Mechanisms (13 papers), CRISPR and Genetic Engineering (8 papers), Animal Genetics and Reproduction (8 papers), Aquaculture Nutrition and Growth (7 papers), Immune Response and Inflammation (6 papers) and Animal Virus Infections Studies (6 papers). The work is most often cited by research in Immunology (564 citations), Aquatic Science (117 citations), Animal Science and Zoology (113 citations), Physiology (37 citations) and Genetics (201 citations). Julia Béjar has collaborated with scholars based in Spain, Germany and Cuba. Frequent co-authors include M. Carmen Álvarez, Juan J. Borrego, Yunhan Hong, M. Carmen Alonso, Esther García‐Rosado, Manuel Manchado, Manfred Schartl, María P. Sepulcre, Víctoriano Mulero and Songlin Chen. Their work appears in journals such as Fish & Shellfish Immunology, Veterinary Immunology and Immunopathology, Aquaculture, Marine Biotechnology and Molecular 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.

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