María Luisa Bay

755 citations
30 papers · 613 indexed · h-index 15
Topics
Adrenal Hormones and Disorders (12 papers)Immune Cell Function and Interaction (9 papers)Immune Response and Inflammation (6 papers)
Partner nations
ArgentinaMexicoGermany

In The Last Decade

María Luisa Bay

30 papers receiving 597 citations

Peers

María Luisa Bay
Comparison fields: 5 of 83
  • Infectious Diseases 193
  • Immunology 184
  • Epidemiology 180
  • Molecular Biology 147
  • Endocrinology, Diabetes and Metabolism 103
Replace Luciano D’Attilio with:
Luciano D’Attilio Argentina
O. Perrella Italy
Laszlo Groh Netherlands
Jürgen Luhm Germany
Patricia Cristofaro United States
Daniela Giordano Italy
Jeffrey Pido-Lopez United Kingdom
Jodi Wilkowski United States
Z Amraoui Belgium
Charlotte D.C.C. van der Heijden Netherlands
María Luisa Bay relative to Luciano D’Attilio Argentina Luciano D’Attilio's profile →
Citations per field
00.5×1.5×
Luciano D’Attilio · 1×
Citations per year

Countries citing papers authored by María Luisa Bay

Since Specialization
Citations

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

Fields of papers citing papers by María Luisa Bay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Luisa Bay. 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 María Luisa Bay. The network helps show where María Luisa Bay may publish in the future.

Co-authorship network of co-authors of María Luisa Bay

This figure shows the co-authorship network connecting the top 25 collaborators of María Luisa Bay. A scholar is included among the top collaborators of María Luisa Bay 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 María Luisa Bay. María Luisa Bay 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 4
2 1
3 7
4 8
5 14
6 3
7 22
8 39
9 29
10 10
11 26
12 75
13 12
14 56
15 24
16 9
17 21
18 89
19 15
20 26

About María Luisa Bay

María Luisa Bay is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 30 papers that have together received 613 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (12 papers), Immune Cell Function and Interaction (9 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Infectious Diseases (193 citations), Immunology (184 citations) and Behavioral Neuroscience (26 citations). María Luisa Bay has collaborated with scholars based in Argentina, Mexico and Germany. Frequent co-authors include Óscar Bottasso, Luciano D’Attilio, Adriana del Rey, Hugo O. Besedovsky, Natalia Santucci, Silvana V. Spinelli, Miguel A. Farroni, Rogélio Hernández‐Pando, Stella Maris Pezzotto and Dulce Mata‐Espinosa. Their work appears in journals such as PLoS ONE, Annals of the New York Academy of Sciences and Life Sciences.

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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