Vera Portik‐Dobos

881 total citations
24 papers, 730 citations indexed

About

Vera Portik‐Dobos is a scholar working on Physiology, Cancer Research and Immunology. According to data from OpenAlex, Vera Portik‐Dobos has authored 24 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 9 papers in Cancer Research and 7 papers in Immunology. Recurrent topics in Vera Portik‐Dobos's work include Nitric Oxide and Endothelin Effects (10 papers), Protease and Inhibitor Mechanisms (9 papers) and Reproductive System and Pregnancy (5 papers). Vera Portik‐Dobos is often cited by papers focused on Nitric Oxide and Endothelin Effects (10 papers), Protease and Inhibitor Mechanisms (9 papers) and Reproductive System and Pregnancy (5 papers). Vera Portik‐Dobos collaborates with scholars based in United States, Georgia and Japan. Vera Portik‐Dobos's co-authors include Adviye Ergul, Adviye Ergul, Mark P. Anstadt, Alex K. Harris, Anatolij Horuzsko, Kamakshi Sachidanandam, Maribeth H. Johnson, Mostafa M. Elgebaly, L. Creed Pettigrew and Jeffrey A. Switzer and has published in prestigious journals such as Journal of Clinical Investigation, Diabetes and Stroke.

In The Last Decade

Vera Portik‐Dobos

24 papers receiving 722 citations

Peers

Vera Portik‐Dobos
Sunitha Yanamadala United States
Yan-Wei Yin China
Katsuhiko Takenaka Japan
Deron W. Jones United States
Katina M. Wilson United States
Miguel Carracedo Sweden
Katia Galan Switzerland
Megan A. Evans United States
Andrés Laguna-Fernández Spain
Gabriella Doronzo Italy
Sunitha Yanamadala United States
Vera Portik‐Dobos
Citations per year, relative to Vera Portik‐Dobos Vera Portik‐Dobos (= 1×) peers Sunitha Yanamadala

Countries citing papers authored by Vera Portik‐Dobos

Since Specialization
Citations

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

Fields of papers citing papers by Vera Portik‐Dobos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vera Portik‐Dobos. 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 Vera Portik‐Dobos. The network helps show where Vera Portik‐Dobos may publish in the future.

Co-authorship network of co-authors of Vera Portik‐Dobos

This figure shows the co-authorship network connecting the top 25 collaborators of Vera Portik‐Dobos. A scholar is included among the top collaborators of Vera Portik‐Dobos 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 Vera Portik‐Dobos. Vera Portik‐Dobos 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
1.
Portik‐Dobos, Vera, et al.. (2020). HLA-G and humanized mouse models as a novel therapeutic approach in transplantation. Human Immunology. 81(4). 178–185. 8 indexed citations
2.
Portik‐Dobos, Vera, Ali S. Arbab, Amiran Dzutsev, et al.. (2018). The innate immune receptor TREM-1 promotes liver injury and fibrosis. Journal of Clinical Investigation. 128(11). 4870–4883. 73 indexed citations
3.
Portik‐Dobos, Vera, et al.. (2016). Mouse models for studies of HLA-G functions in basic science and pre-clinical research. Human Immunology. 77(9). 711–719. 8 indexed citations
4.
Portik‐Dobos, Vera, Juan Wu, Rajan Kapoor, et al.. (2014). HLA-G Dimers in the Prolongation of Kidney Allograft Survival. Journal of Immunology Research. 2014. 1–10. 22 indexed citations
5.
Kelly-Cobbs, Aisha I., Alex K. Harris, Mostafa M. Elgebaly, et al.. (2010). Endothelial Endothelin B Receptor-Mediated Prevention of Cerebrovascular Remodeling Is Attenuated in Diabetes Because of Up-Regulation of Smooth Muscle Endothelin Receptors. Journal of Pharmacology and Experimental Therapeutics. 337(1). 9–15. 30 indexed citations
6.
Sachidanandam, Kamakshi, Vera Portik‐Dobos, Aisha I. Kelly-Cobbs, & Adviye Ergul. (2010). Dual endothelin receptor antagonism prevents remodeling of resistance arteries in diabetesThis article is one of a selection of papers published in the two-part special issue entitled 20 Years of Endothelin Research.. Canadian Journal of Physiology and Pharmacology. 88(6). 616–621. 10 indexed citations
7.
Portik‐Dobos, Vera, et al.. (2009). Diet-induced obesity causes cerebral vessel remodeling and increases the damage caused by ischemic stroke. Microvascular Research. 78(1). 100–106. 60 indexed citations
8.
Sachidanandam, Kamakshi, Mostafa M. Elgebaly, Alex K. Harris, et al.. (2008). Effect of chronic and selective endothelin receptor antagonism on microvascular function in Type 2 diabetes. American Journal of Physiology-Heart and Circulatory Physiology. 294(6). H2743–H2749. 23 indexed citations
9.
Elgebaly, Mostafa M., Alex K. Harris, Hazem Elewa, et al.. (2008). Impaired insulin-mediated vasorelaxation in a nonobese model of type 2 diabetes: role of endothelin-1This article is one of a selection of papers published in the special issue (part 1 of 2) on Forefronts in Endothelin.. Canadian Journal of Physiology and Pharmacology. 86(6). 358–364. 21 indexed citations
10.
Elgebaly, Mostafa M., Vera Portik‐Dobos, Kamakshi Sachidanandam, et al.. (2007). Differential effects of ETA and ETB receptor antagonism on oxidative stress in type 2 diabetes. Vascular Pharmacology. 47(2-3). 125–130. 24 indexed citations
11.
Sachidanandam, Kamakshi, Vera Portik‐Dobos, Alex K. Harris, et al.. (2007). Evidence for Vasculoprotective Effects of ETB Receptors in Resistance Artery Remodeling in Diabetes. Diabetes. 56(11). 2753–2758. 26 indexed citations
12.
Portik‐Dobos, Vera, Alex K. Harris, Weiwei Song, et al.. (2005). Endothelin antagonism prevents early EGFR transactivation but not increased matrix metalloproteinase activity in diabetes. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 290(2). R435–R441. 31 indexed citations
13.
14.
Ergul, Adviye, et al.. (2004). Downregulation of vascular matrix metalloproteinase inducer and activator proteins in hypertensive patients. American Journal of Hypertension. 17(9). 775–782. 41 indexed citations
15.
Ergul, Adviye, et al.. (2003). Stress upregulates arterial matrix metalloproteinase expression and activity via endothelin A receptor activation. American Journal of Physiology-Heart and Circulatory Physiology. 285(5). H2225–H2232. 42 indexed citations
16.
17.
Mondy, J. Sheppard, et al.. (2002). Decreased vascular matrix metalloproteinase abundance in diabetic patients with symptomatic macroangiopathy.. PubMed. 12(4). S3–18. 6 indexed citations
18.
Portik‐Dobos, Vera, et al.. (2000). Arterial Pressure Response to Endothelin-1 and Sarafotoxin 6c in Rescued Endothelin-B-Deficient Rats. Journal of Cardiovascular Pharmacology. 36(Supplement 1). S82–S85. 10 indexed citations
19.
Pollock, David M., Vera Portik‐Dobos, Charles D. Procter, Cheryl E. Gariepy, & Masashi Yanagisawa. (2000). Arterial Pressure Response to Endothelin-1 and Sarafotoxin 6c in Rescued Endothelin-B-Deficient Rats. Journal of Cardiovascular Pharmacology. 36. S82–S85. 3 indexed citations
20.
Horuzsko, Anatolij, et al.. (1999). Induction of HLA-G-specific human CD8+ T cell lines by stimulation across a polymorphism of HLA-G. Transplantation Proceedings. 31(4). 1860–1863. 7 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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