Fernando E. Sepulveda

2.2k citations
28 papers · 1.1k · h-index 17

Impact in

  • Hematology top 2%
    • Autoimmune and Inflammatory Disorders Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • Immune Cell Function and Interaction 12
    • Immunotherapy and Immune Responses 6
    • Autoimmune and Inflammatory Disorders Research 11

Fernando E. Sepulveda

28 papers receiving 1.1k citations

Peers

Fernando E. Sepulveda
Comparison fields: 5 of 85
  • Hematology 398
  • Immunology 679
  • Infectious Diseases 182
  • Physiology 34
  • Microbiology 38
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Citations per field
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Citations per year

Countries citing papers authored by Fernando E. Sepulveda

Since Specialization
Citations

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

Fields of papers citing papers by Fernando E. Sepulveda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009240
2 2016144
3 201778
4 200855
5 201355
6 201255
7 201452
8 201251
9 201249
10 201449
11 201639
12 201736
13 201822
14 201721
15 202020
16 202020
17 202116
18 201714
19 201811
20 202210

About Fernando E. Sepulveda

Fernando E. Sepulveda is a scholar working on Immunology, Hematology, Molecular Biology, Oncology and Infectious Diseases, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), Autoimmune and Inflammatory Disorders Research (11 papers), Immunotherapy and Immune Responses (6 papers), Parvovirus B19 Infection Studies (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), DNA Repair Mechanisms (2 papers), Microtubule and mitosis dynamics (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Hematology (398 citations), Immunology (679 citations), Infectious Diseases (182 citations), Physiology (34 citations) and Microbiology (38 citations). Fernando E. Sepulveda has collaborated with scholars based in France, United States and Hong Kong. Frequent co-authors include Geneviève de Saint Basile, Sophia Maschalidi, Alain Fischer, Alexandrine Garrigue, Bénédicte Manoury, Sebastián Amigorena, Gaël Ménasché, Lucien Cabanié, Cristina Ghirelli and Ana‐Maria Lennon‐Duménil. Their work appears in journals such as Blood, Nature Communications, Blood Advances, Journal of Allergy and Clinical Immunology 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.

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