Iván Acebrón

488 citations
18 papers · 391 · h-index 10

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 4
    • Glycosylation and Glycoproteins Research 4
    • Microbial Metabolic Engineering and Bioproduction 3
    • Enzyme Structure and Function 5

Iván Acebrón

18 papers receiving 389 citations

Peers

Iván Acebrón
Comparison fields: 5 of 83
  • Applied Microbiology and Biotechnology 57
  • Biotechnology 72
  • Immunology and Allergy 46
  • Cell Biology 66
  • Molecular Biology 209
Replace Camilla Pecoraro with:
Camilla Pecoraro Italy
Nithya Subramanian India
Amer Ali Abd El‐Hafeez Egypt
Jianhui Fan China
Yousef N. Alhashem Saudi Arabia
Huange Zhao China
Xiangming Sun China
Changshui Yang China
Kudelaidi Kuerban China
Yeowon Sohn South Korea
Iván Acebrón relative to Camilla Pecoraro Italy Camilla Pecoraro's profile →
Citations per field
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Citations per year

Countries citing papers authored by Iván Acebrón

Since Specialization
Citations

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

Fields of papers citing papers by Iván Acebrón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200978
2 202052
3 202245
4 201333
5 201133
6 201425
7 201522
8 200921
9 201721
10 201219
11 20178
12 20128
13 20157
14 20216
15 20115
16 20104
17 20232
18 20162

About Iván Acebrón

Iván Acebrón is a scholar working on Molecular Biology, Materials Chemistry, Biotechnology, Oncology and Cell Biology, having authored 18 papers that have together received 391 indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Enzyme Catalysis and Immobilization (4 papers), Glycosylation and Glycoproteins Research (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Enzyme Production and Characterization (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Cell Adhesion Molecules Research (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (57 citations), Biotechnology (72 citations), Immunology and Allergy (46 citations), Cell Biology (66 citations) and Molecular Biology (209 citations). Iván Acebrón has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include José M. Mancheño, Rosario Múñoz, Blanca de las Rivas, José Antonio Curiel, Héctor Rodrı́guez, Daniel Lietha, María Esteban-Torres, Johanne Le Coq, Shahriar Mobashery and J.A. Hermoso. Their work appears in journals such as International Journal of Biological Macromolecules, Bioconjugate Chemistry, Journal of the American Chemical Society, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and FEBS Letters.

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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