Nicole Izykowski

20 total papers · 740 total citations
14 papers, 548 citations indexed

About

Nicole Izykowski is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Rheumatology. According to data from OpenAlex, Nicole Izykowski has authored 14 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 5 papers in Surgery and 3 papers in Rheumatology. Recurrent topics in Nicole Izykowski's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Transplantation: Methods and Outcomes (3 papers) and Urologic and reproductive health conditions (2 papers). Nicole Izykowski is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Transplantation: Methods and Outcomes (3 papers) and Urologic and reproductive health conditions (2 papers). Nicole Izykowski collaborates with scholars based in Germany, United States and Australia. Nicole Izykowski's co-authors include Danny Jonigk, Florian Laenger, Lavinia Maegel, Tobias Welte, Hans Kreipe, Sabina Janciauskiene, Kais Hussein, Armin Braun, Galit Shahaf and Martina Dorsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and The Journal of Urology.

In The Last Decade

Nicole Izykowski

14 papers receiving 545 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nicole Izykowski 181 130 115 112 100 14 548
ST Yuen 179 1.0× 128 1.0× 115 1.0× 92 0.8× 51 0.5× 13 523
A Grant 198 1.1× 169 1.3× 147 1.3× 149 1.3× 77 0.8× 16 532
Sarah Rank Rønnow 188 1.0× 78 0.6× 133 1.2× 85 0.8× 54 0.5× 16 561
Jiun-Han Lin 129 0.7× 214 1.6× 170 1.5× 42 0.4× 57 0.6× 14 521
Arthur D. del Rosario 170 0.9× 136 1.0× 120 1.0× 185 1.7× 29 0.3× 20 589
Monica D. Traystman 65 0.4× 87 0.7× 191 1.7× 60 0.5× 86 0.9× 15 614
Karin Schürfeld 99 0.5× 118 0.9× 108 0.9× 65 0.6× 46 0.5× 18 470
Maria Stack 111 0.6× 233 1.8× 97 0.8× 48 0.4× 63 0.6× 18 513
Peter M. Krein 184 1.0× 66 0.5× 103 0.9× 53 0.5× 87 0.9× 16 464
Katharina Heinzelmann 371 2.0× 81 0.6× 194 1.7× 77 0.7× 49 0.5× 20 602

Countries citing papers authored by Nicole Izykowski

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Izykowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Izykowski

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

All Works

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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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