Vera Dias

1.9k total citations · 1 hit paper
7 papers, 1.5k citations indexed

About

Vera Dias is a scholar working on Genetics, Hematology and Nutrition and Dietetics. According to data from OpenAlex, Vera Dias has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Hematology and 3 papers in Nutrition and Dietetics. Recurrent topics in Vera Dias's work include Hemoglobinopathies and Related Disorders (3 papers), Iron Metabolism and Disorders (3 papers) and Trace Elements in Health (3 papers). Vera Dias is often cited by papers focused on Hemoglobinopathies and Related Disorders (3 papers), Iron Metabolism and Disorders (3 papers) and Trace Elements in Health (3 papers). Vera Dias collaborates with scholars based in Portugal, Austria and United Kingdom. Vera Dias's co-authors include Eunsung Junn, M. Maral Mouradian, Graça Porto, Jorge P. Pinto, Vera Ribeiro, Helena Carmo, Maria de Sousa, Heinz Zoller, Félix Carvalho and Anna Carlsson and has published in prestigious journals such as PLoS ONE, Frontiers in Pharmacology and Neuroscience Letters.

In The Last Decade

Vera Dias

7 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Role of Oxidative Stress in Parkinson's Disease

2013 1.4k citations Vera Dias, Eunsung Junn et al. Journal of Parkinson s Disease profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vera Dias Portugal	7	560	527	305	301	208	7	1.5k
Huamin Xu China	25	513 0.9×	577 1.1×	306 1.0×	222 0.7×	275 1.3×	58	1.6k
Carla Battisti Italy	23	458 0.8×	821 1.6×	276 0.9×	458 1.5×	317 1.5×	91	2.1k
Shenggang Sun China	23	494 0.9×	569 1.1×	498 1.6×	460 1.5×	401 1.9×	88	1.9k
Yan Zheng China	25	363 0.6×	801 1.5×	338 1.1×	460 1.5×	386 1.9×	45	1.9k
Daijiro Yanagisawa Japan	27	323 0.6×	649 1.2×	386 1.3×	703 2.3×	441 2.1×	71	2.0k
Monica R. Langley United States	18	533 1.0×	782 1.5×	320 1.0×	352 1.2×	499 2.4×	29	1.7k
Qian Jiao China	23	239 0.4×	593 1.1×	280 0.9×	258 0.9×	171 0.8×	104	1.5k
M.B.H. Youdim Israel	13	676 1.2×	326 0.6×	365 1.2×	218 0.7×	266 1.3×	29	1.3k
Ruth M.E. Chalmers-Redman United States	22	484 0.9×	1.5k 2.8×	595 2.0×	263 0.9×	227 1.1×	23	2.4k
Subramanian Rajagopalan United States	22	827 1.5×	936 1.8×	576 1.9×	647 2.1×	478 2.3×	27	2.5k

Countries citing papers authored by Vera Dias

Since Specialization

Citations

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

Fields of papers citing papers by Vera Dias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Dias

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Pinto, Jorge P., João Arezes, Vera Dias, et al.. (2014). Physiological implications of NTBI uptake by T lymphocytes. Frontiers in Pharmacology. 5. 24–24. 33 indexed citations

2.

Dias, Vera, Eunsung Junn, & M. Maral Mouradian. (2013). The Role of Oxidative Stress in Parkinson's Disease. Journal of Parkinson s Disease. 3(4). 461–491. 1355 indexed citations breakdown →

3.

Arezes, João, Vera Dias, Xiao Kong, et al.. (2013). Non-Transferrin-Bound Iron (NTBI) Uptake by T Lymphocytes: Evidence for the Selective Acquisition of Oligomeric Ferric Citrate Species. PLoS ONE. 8(11). e79870–e79870. 32 indexed citations

4.

Dias, Vera & Vera Ribeiro. (2011). Ethnic differences in the prevalence of polymorphisms in CYP7A1, CYP7B1 AND CYP27A1 enzymes involved in cholesterol metabolism. Journal of Pharmacy And Bioallied Sciences. 3(3). 453–453. 7 indexed citations

5.

Pinto, Jorge P., Vera Dias, Heinz Zoller, et al.. (2010). Hepcidin messenger RNA expression in human lymphocytes. Immunology. 130(2). 217–230. 49 indexed citations

6.

Correia, Ana Paula, et al.. (2009). CAT53 and HFE alleles in Alzheimer's disease: A putative protective role of the C282Y HFE mutation. Neuroscience Letters. 457(3). 129–132. 16 indexed citations

7.

Dias, Vera & Vera Ribeiro. (2007). The expression of the solute carriers NTCP and OCT‐1 is regulated by cholesterol in HepG2 cells. Fundamental and Clinical Pharmacology. 21(4). 445–450. 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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