Mario Subiabre

709 total citations
18 papers, 516 citations indexed

About

Mario Subiabre is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Surgery. According to data from OpenAlex, Mario Subiabre has authored 18 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Obstetrics and Gynecology, 6 papers in Pediatrics, Perinatology and Child Health and 4 papers in Surgery. Recurrent topics in Mario Subiabre's work include Pregnancy and preeclampsia studies (9 papers), Gestational Diabetes Research and Management (9 papers) and Birth, Development, and Health (6 papers). Mario Subiabre is often cited by papers focused on Pregnancy and preeclampsia studies (9 papers), Gestational Diabetes Research and Management (9 papers) and Birth, Development, and Health (6 papers). Mario Subiabre collaborates with scholars based in Chile, Australia and Spain. Mario Subiabre's co-authors include Fernando Toledo, Luis Sobrevía, Fabián Pardo, Roberto Villalobos-Labra, Luis Silva, Andrea Leiva, Rocío Salsoso, Tamara Sáez, Marcelo Farías and Bárbara Fuenzalida and has published in prestigious journals such as Nutrients, BioMed Research International and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

Mario Subiabre

18 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Subiabre Chile 13 247 160 141 83 78 18 516
M.S. Weedon-Fekjær Norway 12 211 0.9× 127 0.8× 208 1.5× 161 1.9× 65 0.8× 14 583
Virtu Calabuig-Navarro United States 10 136 0.6× 156 1.0× 159 1.1× 86 1.0× 79 1.0× 16 465
Nora Martínez Argentina 20 467 1.9× 356 2.2× 280 2.0× 88 1.1× 58 0.7× 44 772
Romina Higa Argentina 18 414 1.7× 358 2.2× 249 1.8× 99 1.2× 46 0.6× 40 690
Ying-King Wu United States 11 297 1.2× 273 1.7× 103 0.7× 37 0.4× 99 1.3× 12 525
Katie L. Skeffington United Kingdom 13 284 1.1× 409 2.6× 130 0.9× 66 0.8× 92 1.2× 32 646
Shoichi Akazawa Japan 14 189 0.8× 186 1.2× 146 1.0× 47 0.6× 134 1.7× 19 537
Madhu Gupta United States 12 89 0.4× 105 0.7× 115 0.8× 60 0.7× 32 0.4× 18 441
Kirsten Hartil United States 12 121 0.5× 288 1.8× 405 2.9× 227 2.7× 117 1.5× 16 790
Mariusz Kuźmicki Poland 18 553 2.2× 210 1.3× 132 0.9× 162 2.0× 113 1.4× 43 982

Countries citing papers authored by Mario Subiabre

Since Specialization
Citations

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

Fields of papers citing papers by Mario Subiabre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Subiabre

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

All Works

18 of 18 papers shown
1.
Grismaldo, Adriana, Fernando Toledo, Fabián Pardo, et al.. (2021). Gestational diabesity and foetoplacental vascular dysfunction. Acta Physiologica. 232(4). e13671–e13671. 27 indexed citations
2.
3.
Sobrevía, Luis, Adriana Grismaldo, Roberto Villalobos-Labra, et al.. (2020). Mitochondrial dysfunction in the fetoplacental unit in gestational diabetes mellitus. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(12). 165948–165948. 38 indexed citations
4.
Subiabre, Mario, et al.. (2019). Role of insulin, adenosine, and adipokine receptors in the foetoplacental vascular dysfunction in gestational diabetes mellitus. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(2). 165370–165370. 26 indexed citations
5.
Pardo, Fabián, Mario Subiabre, Fernando Toledo, et al.. (2019). Altered foetoplacental vascular endothelial signalling to insulin in diabesity. Molecular Aspects of Medicine. 66. 40–48. 10 indexed citations
6.
Villalobos-Labra, Roberto, Pablo J. Sáez, Mario Subiabre, et al.. (2018). Pre-pregnancy maternal obesity associates with endoplasmic reticulum stress in human umbilical vein endothelium. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(10). 3195–3210. 31 indexed citations
7.
Subiabre, Mario, et al.. (2018). Insulin therapy and its consequences for the mother, foetus, and newborn in gestational diabetes mellitus. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(9). 2949–2956. 35 indexed citations
8.
Rojas, José M., et al.. (2018). Heterophilic antibodies in sera from individuals without loxoscelism cross-react with phospholipase D from the venom of Loxosceles and Sicarius spiders. ˜The œJournal of venomous animals and toxins including tropical diseases. 24(1). 18–18. 6 indexed citations
9.
Villalobos-Labra, Roberto, Mario Subiabre, Fernando Toledo, Fabián Pardo, & Luis Sobrevía. (2018). Endoplasmic reticulum stress and development of insulin resistance in adipose, skeletal, liver, and foetoplacental tissue in diabesity. Molecular Aspects of Medicine. 66. 49–61. 93 indexed citations
10.
Villalobos-Labra, Roberto, Luis Silva, Mario Subiabre, et al.. (2017). Akt/mTOR Role in Human Foetoplacental Vascular Insulin Resistance in Diseases of Pregnancy. Journal of Diabetes Research. 2017. 1–13. 52 indexed citations
11.
Subiabre, Mario, Luis Silva, Roberto Villalobos-Labra, et al.. (2017). Maternal insulin therapy does not restore foetoplacental endothelial dysfunction in gestational diabetes mellitus. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(11). 2987–2998. 36 indexed citations
12.
Subiabre, Mario, Rocío Salsoso, Roberto Villalobos-Labra, et al.. (2017). Insulin therapy fails to reverse the human foetoplacental endothelial dysfunction in gestational diabetes mellitus. Placenta. 51. 117–118. 1 indexed citations
13.
Sobrevía, Luis, Rocío Salsoso, Bárbara Fuenzalida, et al.. (2016). Insulin Is a Key Modulator of Fetoplacental Endothelium Metabolic Disturbances in Gestational Diabetes Mellitus. Frontiers in Physiology. 7. 119–119. 42 indexed citations
14.
Silva, Luis, Mario Subiabre, Tamara Sáez, et al.. (2016). Insulin/adenosine axis linked signalling. Molecular Aspects of Medicine. 55. 45–61. 52 indexed citations
15.
Sanhueza, Carlos, Eric Barros, Mario Subiabre, et al.. (2016). Nitric oxide and pH modulation in gynaecological cancer. Journal of Cellular and Molecular Medicine. 20(12). 2223–2230. 10 indexed citations
16.
Gibbons, A., et al.. (2015). Preselection of high and low ovulatory responders in sheep multiple ovulation and embryo transfer programs. Theriogenology. 84(5). 784–790. 17 indexed citations
17.
Riquelme, Manuel A., A. Luis, José Luis Vega, et al.. (2015). Pannexin channels mediate the acquisition of myogenic commitment in C2C12 reserve cells promoted by P2 receptor activation. Frontiers in Cell and Developmental Biology. 3. 25–25. 12 indexed citations
18.
Vega, José Luis, Mario Subiabre, Felipe Figueroa, et al.. (2013). Role of Gap Junctions and Hemichannels in Parasitic Infections. BioMed Research International. 2013. 1–17. 11 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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