Olga Gumieniak

919 total citations
9 papers, 731 citations indexed

About

Olga Gumieniak is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Epidemiology. According to data from OpenAlex, Olga Gumieniak has authored 9 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Nephrology and 3 papers in Epidemiology. Recurrent topics in Olga Gumieniak's work include Thyroid Disorders and Treatments (4 papers), Hormonal Regulation and Hypertension (3 papers) and Alcohol Consumption and Health Effects (2 papers). Olga Gumieniak is often cited by papers focused on Thyroid Disorders and Treatments (4 papers), Hormonal Regulation and Hypertension (3 papers) and Alcohol Consumption and Health Effects (2 papers). Olga Gumieniak collaborates with scholars based in United States and France. Olga Gumieniak's co-authors include Gordon H. Williams, Todd S. Perlstein, Paul N. Hopkins, Nancy J. Brown, Norman K. Hollenberg, Laine J. Murphey, Michael Gaziano, Augusto A. Litonjua, David Sparrow and Pantel Vokonas and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Kidney International and Hypertension.

In The Last Decade

Olga Gumieniak

9 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Olga Gumieniak United States	8	369	300	244	167	110	9	731
Byung-Seong Suh South Korea	12	171 0.5×	250 0.8×	141 0.6×	415 2.5×	51 0.5×	23	765
Won Sool Kim South Korea	8	170 0.5×	214 0.7×	136 0.6×	345 2.1×	41 0.4×	9	566
Liufu Cui China	13	227 0.6×	54 0.2×	109 0.4×	119 0.7×	123 1.1×	36	594
Gregory S Y Ong Australia	9	123 0.3×	101 0.3×	64 0.3×	74 0.4×	59 0.5×	10	398
J. Clinton Smith United States	6	355 1.0×	217 0.7×	35 0.1×	106 0.6×	27 0.2×	12	627
Raquel Conceição Brazil	14	58 0.2×	235 0.8×	112 0.5×	395 2.4×	49 0.4×	34	689
Ulla Dorte Mathisen Norway	16	648 1.8×	169 0.6×	29 0.1×	74 0.4×	71 0.6×	22	888
Virginia Ford United States	6	343 0.9×	91 0.3×	34 0.1×	51 0.3×	60 0.5×	9	752
María L. Méndez Spain	11	364 1.0×	93 0.3×	41 0.2×	55 0.3×	54 0.5×	21	528
Sun Min Oh South Korea	14	68 0.2×	64 0.2×	88 0.4×	74 0.4×	49 0.4×	20	452

Countries citing papers authored by Olga Gumieniak

Since Specialization

Citations

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

Fields of papers citing papers by Olga Gumieniak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Gumieniak

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

All Works

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9 of 9 papers shown

1.

Gumieniak, Olga, Todd S. Perlstein, Jonathan S. Williams, et al.. (2007). Ala92 Type 2 Deiodinase Allele Increases Risk for the Development of Hypertension. Hypertension. 49(3). 461–466. 68 indexed citations

2.

Gumieniak, Olga & Gordon H. Williams. (2007). Response to Type 2 Deiodinase Thr92Ala Polymorphism Is Not Associated With Arterial Hypertension in Type 2 Diabetes Mellitus Patients. Hypertension. 49(6). 3 indexed citations

3.

Perlstein, Todd S., Olga Gumieniak, Gordon H. Williams, et al.. (2006). Uric Acid and the Development of Hypertension. Hypertension. 48(6). 1031–1036. 238 indexed citations

4.

Gumieniak, Olga, Shelley Hurwitz, Todd S. Perlstein, et al.. (2005). Aggregation of High-Normal Thyroid-Stimulating Hormone in Hypertensive Families. The Journal of Clinical Endocrinology & Metabolism. 90(11). 5985–5990. 16 indexed citations

5.

Rosal, Milagros C., et al.. (2005). Diabetes self-management among low-income spanish-speaking patients: A pilot study. Annals of Behavioral Medicine. 29(3). 225–235. 134 indexed citations

6.

Perlstein, Todd S., Olga Gumieniak, Paul N. Hopkins, et al.. (2004). Uric acid and the state of the intrarenal renin-angiotensin system in humans. Kidney International. 66(4). 1465–1470. 174 indexed citations

7.

Gumieniak, Olga & Gordon H. Williams. (2004). Mineralocorticoid receptor antagonists and hypertension: Is there a rationale?. Current Hypertension Reports. 6(4). 279–287. 7 indexed citations

8.

Gumieniak, Olga, Todd S. Perlstein, Paul N. Hopkins, et al.. (2004). Thyroid Function and Blood Pressure Homeostasis in Euthyroid Subjects. The Journal of Clinical Endocrinology & Metabolism. 89(7). 3455–3461. 82 indexed citations

9.

Gumieniak, Olga & Alan P. Farwell. (2003). Schmidt’S Syndrome and Severe Hyponatremia: Report of an Unusual Case and Review of the Related Literature. Endocrine Practice. 9(5). 384–388. 9 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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