Eva E. Sitarz

431 total citations
10 papers, 343 citations indexed

About

Eva E. Sitarz is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Eva E. Sitarz has authored 10 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Eva E. Sitarz's work include Connective tissue disorders research (7 papers), Galectins and Cancer Biology (4 papers) and Elasticity and Material Modeling (2 papers). Eva E. Sitarz is often cited by papers focused on Connective tissue disorders research (7 papers), Galectins and Cancer Biology (4 papers) and Elasticity and Material Modeling (2 papers). Eva E. Sitarz collaborates with scholars based in Canada and United States. Eva E. Sitarz's co-authors include Fred W. Keeley, Ming Miao, Catherine M. Bellingham, Richard Stahl, Christopher Lane, Lisa D. Muiznieks, John H. Youson, Paul Robson, Manju Rawat and Sean E. Reichheld and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Atherosclerosis.

In The Last Decade

Eva E. Sitarz

10 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva E. Sitarz Canada 8 213 123 105 61 52 10 343
Jugal P. Dhandhukia United States 8 140 0.7× 152 1.2× 137 1.3× 52 0.9× 52 1.0× 8 398
Charles W. Tran Canada 8 233 1.1× 199 1.6× 34 0.3× 65 1.1× 82 1.6× 8 523
Shuang Zheng China 10 69 0.3× 264 2.1× 55 0.5× 89 1.5× 45 0.9× 19 497
Young-Doug Sohn South Korea 10 58 0.3× 215 1.7× 58 0.6× 55 0.9× 38 0.7× 11 409
Ingo H. Pilz Germany 10 197 0.9× 331 2.7× 30 0.3× 31 0.5× 34 0.7× 16 562
Vuk Savković Germany 14 34 0.2× 144 1.2× 44 0.4× 29 0.5× 44 0.8× 36 444
Philip N. Lewis United Kingdom 15 91 0.4× 91 0.7× 84 0.8× 57 0.9× 11 0.2× 30 764
Michinori Miyahara Japan 9 61 0.3× 115 0.9× 102 1.0× 18 0.3× 16 0.3× 11 383
Rui Pei China 9 129 0.6× 599 4.9× 32 0.3× 95 1.6× 42 0.8× 10 782
Yuchao Yang China 15 49 0.2× 217 1.8× 50 0.5× 85 1.4× 21 0.4× 45 500

Countries citing papers authored by Eva E. Sitarz

Since Specialization
Citations

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

Fields of papers citing papers by Eva E. Sitarz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva E. Sitarz. 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 Eva E. Sitarz. The network helps show where Eva E. Sitarz may publish in the future.

Co-authorship network of co-authors of Eva E. Sitarz

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

All Works

10 of 10 papers shown
1.
Reichheld, Sean E., Lisa D. Muiznieks, Christopher Ing, et al.. (2020). The evolutionary background and functional consequences of the rs2071307 polymorphism in human tropoelastin. Biopolymers. 112(2). e23414–e23414. 5 indexed citations
2.
Muiznieks, Lisa D., Ming Miao, Eva E. Sitarz, & Fred W. Keeley. (2016). Contribution of domain 30 of tropoelastin to elastic fiber formation and material elasticity. Biopolymers. 105(5). 267–275. 15 indexed citations
4.
Muiznieks, Lisa D., Sean E. Reichheld, Eva E. Sitarz, Ming Miao, & Fred W. Keeley. (2015). Proline‐poor hydrophobic domains modulate the assembly and material properties of polymeric elastin. Biopolymers. 103(10). 563–573. 28 indexed citations
5.
He, David, Ming Miao, Eva E. Sitarz, et al.. (2012). Polymorphisms in the Human Tropoelastin Gene Modify In Vitro Self-Assembly and Mechanical Properties of Elastin-Like Polypeptides. PLoS ONE. 7(9). e46130–e46130. 19 indexed citations
6.
Miao, Ming, et al.. (2012). Sequence and domain arrangements influence mechanical properties of elastin‐like polymeric elastomers. Biopolymers. 99(6). 392–407. 27 indexed citations
7.
Miao, Ming, Catherine M. Bellingham, Richard Stahl, et al.. (2003). Sequence and Structure Determinants for the Self-aggregation of Recombinant Polypeptides Modeled after Human Elastin. Journal of Biological Chemistry. 278(49). 48553–48562. 140 indexed citations
8.
Robson, Paul, Glenda M. Wright, Eva E. Sitarz, et al.. (1993). Characterization of lamprin, an unusual matrix protein from lamprey cartilage. Implications for evolution, structure, and assembly of elastin and other fibrillar proteins.. Journal of Biological Chemistry. 268(2). 1440–1447. 74 indexed citations
9.
Keeley, Fred W. & Eva E. Sitarz. (1985). Identification and quantitation of α2-HS-glycoprotein in the mineralized matrix of calcified plaques of atherosclerotic human aorta. Atherosclerosis. 55(1). 63–69. 16 indexed citations
10.
Keeley, Fred W. & Eva E. Sitarz. (1983). Characterization of proteins from the calcified matrix of atherosclerotic human aorta. Atherosclerosis. 46(1). 29–40. 4 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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