M.A. Álava

664 citations
19 papers · 600 · h-index 12

Impact in

    • Animal health and immunology
    • Animal Behavior and Welfare Studies
  • Microbiology top 10%
    • Microbial infections and disease research

Papers in

    • Cell death mechanisms and regulation 5
    • Glycosylation and Glycoproteins Research 3
    • Ubiquitin and proteasome pathways 2
    • Animal health and immunology 4

M.A. Álava

19 papers receiving 583 citations

Peers

M.A. Álava
Comparison fields: 5 of 81
  • Small Animals 104
  • Microbiology 61
  • Immunology 187
  • Animal Science and Zoology 81
  • Equine 9
Replace G.A. Baumbach with:
G.A. Baumbach United States
Alba Miranda-Ribera United States
Silvia Vincent‐Naulleau France
Alison Whitelaw Australia
Sybil M. McAleese United Kingdom
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Kjell‐Olov Grönvik Sweden
G D Bonnard United States
Susan A. Levine United States
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Citations per field
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G.A. Baumbach · 1×
Citations per year

Countries citing papers authored by M.A. Álava

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Álava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Álava. 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 M.A. Álava. The network helps show where M.A. Álava may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 199693
2 200477
3 200755
4
The amino-terminal Src homology 2 domain of phospholipase C gamma 1 is essential for TCR-induced tyrosine phosphorylation of phospholipase C gamma 1.
199855
5 200552
6 199241
7 200539
8 199737
9 199237
10 199730
11 200620
12 200818
13 201610
14 19918
15 19998
16 20006
17 19936
18 20055
19 19963

About M.A. Álava

M.A. Álava is a scholar working on Molecular Biology, Small Animals, Epidemiology, Nutrition and Dietetics and Microbiology, having authored 19 papers that have together received 600 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Animal health and immunology (4 papers), Fatty Acid Research and Health (3 papers), Glycosylation and Glycoproteins Research (3 papers), Microbial infections and disease research (3 papers), Lipid metabolism and biosynthesis (3 papers), NF-κB Signaling Pathways (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Small Animals (104 citations), Microbiology (61 citations), Immunology (187 citations), Animal Science and Zoology (81 citations) and Equine (9 citations). M.A. Álava has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Andrés Piñeiro, Alberto Anel, Javier Naval, Fermı́n Lampreave, Karen E. DeBell, Ezio Bonvini, Marı́a Iturralde, Matilde Piñeiro, María José Martínez‐Lorenzo and Thomas Hoffman. Their work appears in journals such as Infection and Immunity, The Journal of Immunology, Prostaglandins Leukotrienes and Essential Fatty Acids, Blood and Veterinary Immunology and Immunopathology.

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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