J Wawryn

439 total citations
10 papers, 358 citations indexed

About

J Wawryn is a scholar working on Molecular Biology, Aging and Neurology. According to data from OpenAlex, J Wawryn has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Aging and 1 paper in Neurology. Recurrent topics in J Wawryn's work include Fungal and yeast genetics research (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Mitochondrial Function and Pathology (3 papers). J Wawryn is often cited by papers focused on Fungal and yeast genetics research (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Mitochondrial Function and Pathology (3 papers). J Wawryn collaborates with scholars based in United States and Poland. J Wawryn's co-authors include S. Michal Jazwinski, Tomasz Biliński, Anna Krzepiłko, Corina Borghouts, Alberto Benguría, Aleksander Myszka, James C. Jiang, Grzegorz Bartosz and Agata Święciło and has published in prestigious journals such as Genetics, Journal of Theoretical Biology and Biochimica et Biophysica Acta (BBA) - General Subjects.

In The Last Decade

J Wawryn

10 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Wawryn United States 9 260 191 47 46 31 10 358
Stefanie Jarolim Austria 10 474 1.8× 141 0.7× 73 1.6× 63 1.4× 46 1.5× 12 620
Ana Mesquita Portugal 5 346 1.3× 149 0.8× 65 1.4× 94 2.0× 13 0.4× 6 475
Anne-Cécile V. Bayne United States 7 260 1.0× 117 0.6× 15 0.3× 77 1.7× 10 0.3× 7 392
Hee Chul Lee United States 12 369 1.4× 127 0.7× 51 1.1× 64 1.4× 6 0.2× 22 491
Sang‐Kyu Park United States 6 169 0.7× 256 1.3× 17 0.4× 91 2.0× 17 0.5× 7 391
Tracy Vrablik United States 6 117 0.5× 105 0.5× 16 0.3× 50 1.1× 40 1.3× 7 278
Puneet Bharill United States 9 170 0.7× 217 1.1× 13 0.3× 129 2.8× 13 0.4× 9 385
Simon D. Bourque Canada 13 471 1.8× 258 1.4× 68 1.4× 70 1.5× 13 0.4× 16 614
Gregory M. Solis United States 10 224 0.9× 275 1.4× 18 0.4× 138 3.0× 11 0.4× 10 482
Sarah Hanzén Sweden 7 419 1.6× 123 0.6× 13 0.3× 41 0.9× 9 0.3× 7 472

Countries citing papers authored by J Wawryn

Since Specialization
Citations

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

Fields of papers citing papers by J Wawryn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Wawryn

This figure shows the co-authorship network connecting the top 25 collaborators of J Wawryn. A scholar is included among the top collaborators of J Wawryn 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 J Wawryn. J Wawryn 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.
Borghouts, Corina, Alberto Benguría, J Wawryn, & S. Michal Jazwinski. (2004). Rtg2 Protein Links Metabolism and Genome Stability in Yeast Longevity. Genetics. 166(2). 765–777. 82 indexed citations
2.
Borghouts, Corina, Alberto Benguría, J Wawryn, & S. Michal Jazwinski. (2004). Rtg2 Protein Links Metabolism and Genome Stability in Yeast Longevity. Genetics. 166(2). 765–777. 17 indexed citations
3.
Krzepiłko, Anna, et al.. (2004). Ascorbate Restores Lifespan of Superoxide-dismutase Deficient Yeast. Free Radical Research. 38(9). 1019–1024. 23 indexed citations
4.
Wawryn, J, Agata Święciło, Grzegorz Bartosz, & Tomasz Biliński. (2002). Effect of superoxide dismutase deficiency on the life span of the yeast Saccharomyces cerevisiae. An oxygen-independent role of Cu,Zn-superoxide dismutase. Biochimica et Biophysica Acta (BBA) - General Subjects. 1570(3). 199–202. 28 indexed citations
5.
Jiang, James C., et al.. (2002). Distinct roles of processes modulated by histone deacetylases Rpd3p, Hda1p, and Sir2p in life extension by caloric restriction in yeast. Experimental Gerontology. 37(8-9). 1023–1030. 72 indexed citations
6.
Jazwinski, S. Michal & J Wawryn. (2001). Profiles of Random Change During Aging Contain Hidden Information about Longevity and the Aging Process. Journal of Theoretical Biology. 213(4). 599–608. 9 indexed citations
7.
Święciło, Agata, et al.. (2000). Effect of stress on the life span of the yeast Saccharomyces cerevisiae.. Acta Biochimica Polonica. 47(2). 355–364. 25 indexed citations
8.
Wawryn, J, Anna Krzepiłko, Aleksander Myszka, & Tomasz Biliński. (1999). Deficiency in superoxide dismutases shortens life span of yeast cells.. Acta Biochimica Polonica. 46(2). 249–253. 86 indexed citations
9.
Krzepiłko, Anna, et al.. (1998). Protective role of superoxide dismutase in iron toxicity in yeast. IUBMB Life. 44(3). 635–641. 13 indexed citations
10.
Krzepiłko, Anna, et al.. (1997). Iron toxicity in yeast.. PubMed. 46(4). 339–47. 3 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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