Dennis P. Pollow

459 total citations
8 papers, 351 citations indexed

About

Dennis P. Pollow is a scholar working on Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Genetics. According to data from OpenAlex, Dennis P. Pollow has authored 8 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Nutrition and Dietetics and 3 papers in Genetics. Recurrent topics in Dennis P. Pollow's work include Hormonal Regulation and Hypertension (4 papers), Sodium Intake and Health (3 papers) and Estrogen and related hormone effects (3 papers). Dennis P. Pollow is often cited by papers focused on Hormonal Regulation and Hypertension (4 papers), Sodium Intake and Health (3 papers) and Estrogen and related hormone effects (3 papers). Dennis P. Pollow collaborates with scholars based in United States. Dennis P. Pollow's co-authors include Heddwen L. Brooks, Patricia B. Hoyer, Melissa J. Romero‐Aleshire, Janko Nikolich‐Žugich, Jennifer L. Uhrlaub, Kathryn Sandberg, Meredith Hay, John P. Konhilas, Merry L. Lindsey and Matthew Wortham and has published in prestigious journals such as Diabetes, Hypertension and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Dennis P. Pollow

8 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dennis P. Pollow United States	7	150	111	67	67	61	8	351
Teresa Craig United States	11	142 0.9×	35 0.3×	132 2.0×	73 1.1×	24 0.4×	13	454
Marcia Venegas‐Pont United States	9	87 0.6×	100 0.9×	87 1.3×	17 0.3×	180 3.0×	11	403
Imran J. Anwar United States	12	79 0.5×	36 0.3×	42 0.6×	38 0.6×	44 0.7×	33	360
Benard O. Ogola United States	11	159 1.1×	21 0.2×	142 2.1×	151 2.3×	33 0.5×	24	459
Cassandra Fleming United States	5	84 0.6×	84 0.8×	107 1.6×	10 0.1×	67 1.1×	6	317
Mutsuko Nagata Japan	10	101 0.7×	33 0.3×	38 0.6×	20 0.3×	29 0.5×	13	358
Olga V. Fedorova United States	11	150 1.0×	93 0.8×	144 2.1×	21 0.3×	42 0.7×	22	546
Juana Sellés Argentina	13	121 0.8×	56 0.5×	43 0.6×	115 1.7×	19 0.3×	20	372
Debra L. Irsik United States	10	79 0.5×	41 0.4×	43 0.6×	49 0.7×	10 0.2×	17	310
Takanobu Shimasaki Japan	10	58 0.4×	73 0.7×	44 0.7×	13 0.2×	45 0.7×	10	356

Countries citing papers authored by Dennis P. Pollow

Since Specialization

Citations

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

Fields of papers citing papers by Dennis P. Pollow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis P. Pollow. 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 Dennis P. Pollow. The network helps show where Dennis P. Pollow may publish in the future.

Co-authorship network of co-authors of Dennis P. Pollow

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

All Works

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8 of 8 papers shown

Pollow, Dennis P., et al.. (2022). Splenocyte transfer from hypertensive donors eliminates premenopausal female protection from ANG II-induced hypertension. American Journal of Physiology-Renal Physiology. 322(3). F245–F257. 8 indexed citations

Ramms, Bastian, Dennis P. Pollow, Han Zhu, et al.. (2022). Systemic LSD1 Inhibition Prevents Aberrant Remodeling of Metabolism in Obesity. Diabetes. 71(12). 2513–2529. 15 indexed citations

Konhilas, John P., Jessica A. Regan, Eleni Constantopoulos, et al.. (2020). Using 4-vinylcyclohexene diepoxide as a model of menopause for cardiovascular disease. American Journal of Physiology-Heart and Circulatory Physiology. 318(6). H1461–H1473. 14 indexed citations

Pollow, Dennis P., Melissa J. Romero‐Aleshire, Jennifer L. Uhrlaub, et al.. (2019). Menopause and FOXP3⁺ Treg cell depletion eliminate female protection against T cell-mediated angiotensin II hypertension. American Journal of Physiology-Heart and Circulatory Physiology. 317(2). H415–H423. 41 indexed citations

Pollow, Dennis P., et al.. (2016). Caffeine Does Not Affect Improvements in Cognition During Prolonged High-Intensity Exercise in Alert Well-Trained Individuals. 6(4). 163–171. 3 indexed citations

Brooks, Heddwen L., Dennis P. Pollow, & Patricia B. Hoyer. (2016). The VCD Mouse Model of Menopause and Perimenopause for the Study of Sex Differences in Cardiovascular Disease and the Metabolic Syndrome. Physiology. 31(4). 250–257. 119 indexed citations

Pollow, Dennis P., et al.. (2015). ANG II-induced hypertension in the VCD mouse model of menopause is prevented by estrogen replacement during perimenopause. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 309(12). R1546–R1552. 33 indexed citations

Pollow, Dennis P., Jennifer L. Uhrlaub, Melissa J. Romero‐Aleshire, et al.. (2014). Sex Differences in T-Lymphocyte Tissue Infiltration and Development of Angiotensin II Hypertension. Hypertension. 64(2). 384–390. 118 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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