Eda Machado

956 citations
12 papers · 731 · h-index 10

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research
  • Cell Biology top 10%
    • Cellular transport and secretion

Papers in

    • Lysosomal Storage Disorders Research 3
    • Erythrocyte Function and Pathophysiology 3
    • Calcium signaling and nucleotide metabolism 2
    • Cellular transport and secretion 5

Eda Machado

12 papers receiving 724 citations

Peers

Eda Machado
Comparison fields: 5 of 83
  • Physiology 89
  • Cell Biology 149
  • Immunology 179
  • Molecular Biology 428
  • Epidemiology 144
Replace Thomas Kirkegaard‐Sørensen with:
Thomas Kirkegaard‐Sørensen Denmark
Vigdis Sørensen Norway
Christian Wrocklage Germany
Shunsuke Kon Japan
Norimasa Matsushita Japan
Rory Flinn United States
Eric Sekyere Australia
Cristina Escrevente Portugal
Fumiko Marttila‐Ichihara Finland
Jordan Ye United States
Eda Machado relative to Thomas Kirkegaard‐Sørensen Denmark Thomas Kirkegaard‐Sørensen's profile →
Citations per field
00.5×
Thomas Kirkegaard‐Sørensen · 1×
Citations per year

Countries citing papers authored by Eda Machado

Since Specialization
Citations

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

Fields of papers citing papers by Eda Machado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2015125
2 2009108
3 201973
4 202070
5 202169
6 201063
7 201062
8 200653
9 201552
10 201948
11 20226
12 20162

About Eda Machado

Eda Machado is a scholar working on Physiology, Cell Biology, Molecular Biology, Epidemiology and Immunology, having authored 12 papers that have together received 731 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Glycosylation and Glycoproteins Research (4 papers), Autophagy in Disease and Therapy (4 papers), Lysosomal Storage Disorders Research (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Galectins and Cancer Biology (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Physiology (89 citations), Cell Biology (149 citations), Immunology (179 citations), Molecular Biology (428 citations) and Epidemiology (144 citations). Eda Machado has collaborated with scholars based in United States, Portugal and Germany. Frequent co-authors include Alessandra d’Azzo, Diantha van de Vlekkert, Ida Annunziata, Júlia Costa, Peter Altevogt, Gerard C. Grosveld, Yvan Campos, Xiaohui Qiu, Celso A. Reis and David Finkelstein. Their work appears in journals such as Science Advances, The International Journal of Biochemistry & Cell Biology, Frontiers in Cell and Developmental Biology, Nature Communications and Communications Biology.

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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