Iolanda Garcia-Grau

1.4k total citations
7 papers, 472 citations indexed

About

Iolanda Garcia-Grau is a scholar working on Microbiology, Immunology and Epidemiology. According to data from OpenAlex, Iolanda Garcia-Grau has authored 7 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Microbiology, 5 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Iolanda Garcia-Grau's work include Reproductive tract infections research (6 papers), Reproductive System and Pregnancy (5 papers) and Reproductive Physiology in Livestock (2 papers). Iolanda Garcia-Grau is often cited by papers focused on Reproductive tract infections research (6 papers), Reproductive System and Pregnancy (5 papers) and Reproductive Physiology in Livestock (2 papers). Iolanda Garcia-Grau collaborates with scholars based in Spain, United States and Netherlands. Iolanda Garcia-Grau's co-authors include Carlos Simón, Inmaculada Moreno, Marta Gonzáléz-Monfort, Felipe Vilella, Davide Baù, Diana Valbuena, Leonardo Resta, Dominique de Ziegler, Ettore Cicinelli and Roberto Romero and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Human Reproduction and Biology of Reproduction.

In The Last Decade

Iolanda Garcia-Grau

7 papers receiving 450 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Iolanda Garcia-Grau Spain 6 282 159 144 120 98 7 472
Alexis Hokenstad United States 5 138 0.5× 136 0.9× 180 1.3× 120 1.0× 96 1.0× 11 404
C Midulla Italy 9 42 0.1× 125 0.8× 107 0.7× 115 1.0× 48 0.5× 19 384
Himangi Warke India 10 83 0.3× 37 0.2× 130 0.9× 69 0.6× 38 0.4× 21 323
Andrew E. Schriefer United States 8 105 0.4× 118 0.7× 121 0.8× 10 0.1× 57 0.6× 9 334
Attila Mihalyi Belgium 18 684 2.4× 1.0k 6.5× 52 0.4× 26 0.2× 786 8.0× 29 1.2k
V. Prasauskas Germany 7 26 0.1× 31 0.2× 63 0.4× 120 1.0× 19 0.2× 7 333
Atsushi Komatsu Japan 9 76 0.3× 115 0.7× 43 0.3× 14 0.1× 136 1.4× 25 296
Maaike G. Dijkstra Netherlands 13 21 0.1× 65 0.4× 125 0.9× 92 0.8× 63 0.6× 14 667
Barbara Polese Belgium 9 227 0.8× 50 0.3× 46 0.3× 4 0.0× 39 0.4× 11 316
Brandy Houser United States 6 490 1.7× 144 0.9× 35 0.2× 5 0.0× 260 2.7× 8 601

Countries citing papers authored by Iolanda Garcia-Grau

Since Specialization
Citations

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

Fields of papers citing papers by Iolanda Garcia-Grau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iolanda Garcia-Grau. 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 Iolanda Garcia-Grau. The network helps show where Iolanda Garcia-Grau may publish in the future.

Co-authorship network of co-authors of Iolanda Garcia-Grau

This figure shows the co-authorship network connecting the top 25 collaborators of Iolanda Garcia-Grau. A scholar is included among the top collaborators of Iolanda Garcia-Grau 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 Iolanda Garcia-Grau. Iolanda Garcia-Grau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Moreno, Inmaculada, Iolanda Garcia-Grau, Marta Gonzáléz-Monfort, et al.. (2021). O-126 Endometrial microbiota composition is associated with reproductive outcome in infertile patients. Human Reproduction. 36(Supplement_1). 1 indexed citations
2.
Moreno, Inmaculada, Iolanda Garcia-Grau, Davide Baù, et al.. (2020). The first glimpse of the endometrial microbiota in early pregnancy. American Journal of Obstetrics and Gynecology. 222(4). 296–305. 45 indexed citations
3.
Garcia-Grau, Iolanda, Davide Baù, Marta Gonzáléz-Monfort, et al.. (2019). Taxonomical and Functional Assessment of the Endometrial Microbiota in A Context of Recurrent Reproductive Failure: A Case Report. Pathogens. 8(4). 205–205. 37 indexed citations
4.
Chenoll, Empar, Inmaculada Moreno, Iolanda Garcia-Grau, et al.. (2019). Selection of New Probiotics for Endometrial Health. Frontiers in Cellular and Infection Microbiology. 9. 114–114. 51 indexed citations
5.
Moreno, Inmaculada, Ettore Cicinelli, Iolanda Garcia-Grau, et al.. (2018). The diagnosis of chronic endometritis in infertile asymptomatic women: a comparative study of histology, microbial cultures, hysteroscopy, and molecular microbiology. American Journal of Obstetrics and Gynecology. 218(6). 602.e1–602.e16. 214 indexed citations
6.
Garcia-Grau, Iolanda, Carlos Simón, & Inmaculada Moreno. (2018). Uterine microbiome—low biomass and high expectations†. Biology of Reproduction. 101(6). 1102–1114. 31 indexed citations
7.
Sequeiros, Tamara, Marina Rigau, Cristina Chiva, et al.. (2016). Targeted proteomics in urinary extracellular vesicles identifies biomarkers for diagnosis and prognosis of prostate cancer. Oncotarget. 8(3). 4960–4976. 93 indexed citations

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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