Denise C. Polacek

2.0k citations
26 papers · 1.6k indexed · h-index 18

Denise C. Polacek

25 papers receiving 1.6k citations

Peers

Denise C. Polacek
Comparison fields: 5 of 103
  • Molecular Biology 707
  • Surgery 415
  • Cardiology and Cardiovascular Medicine 284
  • Immunology 273
  • Cell Biology 260
Replace Nitzan Resnick with:
Nitzan Resnick United States
Nicolae Simionescu United States
Fred L. Minnear United States
Natacha DePaola United States
Mathias H. Konstandin Germany
Joo‐ri Kim‐Kaneyama Japan
Yi-Shuan Li United States
A I Gotlieb Canada
D Drenckhahn Germany
I G Rennie United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Denise C. Polacek

Since Specialization
Citations

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

Fields of papers citing papers by Denise C. Polacek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denise C. Polacek. 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 Denise C. Polacek. The network helps show where Denise C. Polacek may publish in the future.

Co-authorship network of co-authors of Denise C. Polacek

This figure shows the co-authorship network connecting the top 25 collaborators of Denise C. Polacek. A scholar is included among the top collaborators of Denise C. Polacek 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 Denise C. Polacek. Denise C. Polacek 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
#WorkIndexed citations
1 275
2 13
3 67
4 87
5 70
6 1
7 202
8 63
9 64
10 14
11
Gap junctional communication between vascular cells. Induction of connexin43 messenger RNA in macrophage foam cells of atherosclerotic lesions.
67
12
Influence of hemodynamic factors on the adhesion pattern of U937 cells in a flow model: Implications in atherosclerosis
6
13 27
14 45
15 44
16 37
17 17
18 13
19
Polymorphonuclear cells from human peripheral blood, but not lymphocytes, monocytes, or monocyte-derived macrophages, cause the in vitro hydrolysis of apolipoprotein A-II of serum high density lipoproteins.
1
20 30

About Denise C. Polacek

Denise C. Polacek is a scholar working on Immunology and Allergy, Cancer Research and Immunology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Connexins and lens biology (4 papers). The work is most often cited by research in Immunology and Allergy (159 citations), Cell Biology (260 citations) and Cancer Research (201 citations). Denise C. Polacek has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Peter F. Davies, Natacha DePaola, Congzhu Shi, William F. Pritchard, A M Scanu, Brian P. Helmke, Michael V. Volin, Anthony G. Passerini, Elisabetta Manduchi and Christian J. Stoeckert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annals of the New York Academy of Sciences.

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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