Virginia Martín

3.1k citations
42 papers · 2.3k indexed · 1 hit paper · h-index 21

Virginia Martín

42 papers receiving 2.2k citations

Hit Papers

The human milk microbiota: Origin and potential roles in ...20122026201620212012200400600

Peers

Virginia Martín
Comparison fields: 5 of 132
  • Molecular Biology 1.1k
  • Nutrition and Dietetics 991
  • Food Science 714
  • Epidemiology 565
  • Agronomy and Crop Science 217
Replace Anne Donnet‐Hughes with:
Anne Donnet‐Hughes Switzerland
Jalil Benyacoub Switzerland
Akira Kushiro Japan
L.M.J. Knippels Netherlands
Aubrey Bailey United States
María Elisa Pérez-Muñoz Canada
Tyler C. Cullender United States
Raphaëlle Bourdet‐Sicard France
Daniel B. DiGiulio United States
Carolina Maldonado Galdeano Argentina
Virginia Martín relative to Anne Donnet‐Hughes Switzerland Anne Donnet‐Hughes's profile →
Citations per field
00.5×3.6×
Anne Donnet‐Hughes · 1×
Citations per year

Countries citing papers authored by Virginia Martín

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Martín. A scholar is included among the top collaborators of Virginia Martín based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Virginia Martín. Virginia Martín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 8
3 13
4 14
5 19
6 55
7 2
8 9
9 2
10 79
11 13
12 111
13 60
14 5
15 45
16 40
17
The human milk microbiota: Origin and potential roles in health and diseasebreakdown →
605
18 249
19 271
20 51

About Virginia Martín

Virginia Martín is a scholar working on Nutrition and Dietetics, Food Science and Pharmacy, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (14 papers), Infant Nutrition and Health (13 papers) and Gut microbiota and health (10 papers). The work is most often cited by research in Nutrition and Dietetics (991 citations), Pharmacy (200 citations) and Food Science (714 citations). Virginia Martín has collaborated with scholars based in Spain, Denmark and United Kingdom. Frequent co-authors include Juan M. Rodrı́guez, Leónides Fernández, Esther Jiménez, Antonio Maldonado‐Barragán, Susana Langa, Rocı́o Martı́n, Rebeca Arroyo, Rosa del Campo, Laura Moles and Mercedes Rodríguez-Baños. Their work appears in journals such as Neurology, Clinical Infectious Diseases and Journal of Agricultural and Food Chemistry.

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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