Nina E. Wezynfeld

36 total papers · 611 total citations
30 papers, 520 citations indexed

About

Nina E. Wezynfeld is a scholar working on Physiology, Nutrition and Dietetics and Oncology. According to data from OpenAlex, Nina E. Wezynfeld has authored 30 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 12 papers in Nutrition and Dietetics and 11 papers in Oncology. Recurrent topics in Nina E. Wezynfeld's work include Alzheimer's disease research and treatments (12 papers), Trace Elements in Health (12 papers) and Molecular Sensors and Ion Detection (9 papers). Nina E. Wezynfeld is often cited by papers focused on Alzheimer's disease research and treatments (12 papers), Trace Elements in Health (12 papers) and Molecular Sensors and Ion Detection (9 papers). Nina E. Wezynfeld collaborates with scholars based in Poland, United Kingdom and France. Nina E. Wezynfeld's co-authors include Wojciech Bal, Tomasz Frączyk, Peter Faller, Simon C. Drew, Arkadiusz Bonna, Ewelina Stefaniak, Urszula E. Wawrzyniak, Magdalena Z. Wiloch, Mariusz Mital and Cathryn L. Haigh and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and Coordination Chemistry Reviews.

In The Last Decade

Nina E. Wezynfeld

28 papers receiving 515 citations

Author Peers

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

Author Last Decade Papers Cites
Nina E. Wezynfeld 235 199 171 153 80 30 520
Ewelina Stefaniak 216 0.9× 162 0.8× 196 1.1× 159 1.0× 73 0.9× 23 485
Karolina Bossak‐Ahmad 193 0.8× 111 0.6× 214 1.3× 193 1.3× 115 1.4× 19 498
Paulina González 112 0.5× 191 1.0× 157 0.9× 162 1.1× 102 1.3× 16 524
Gnana S. Siluvai 298 1.3× 112 0.6× 194 1.1× 138 0.9× 35 0.4× 12 532
Urszula E. Wawrzyniak 122 0.5× 166 0.8× 142 0.8× 126 0.8× 117 1.5× 29 474
Laurent Sabater 106 0.5× 219 1.1× 136 0.8× 197 1.3× 53 0.7× 20 506
Valeria Lanza 93 0.4× 218 1.1× 160 0.9× 233 1.5× 26 0.3× 29 566
Quentin I. Churches 75 0.3× 140 0.7× 54 0.3× 244 1.6× 28 0.3× 17 607
Maurizio Losacco 146 0.6× 34 0.2× 261 1.5× 207 1.4× 38 0.5× 17 535
Francesca Camponeschi 131 0.6× 88 0.4× 38 0.2× 224 1.5× 56 0.7× 26 500

Countries citing papers authored by Nina E. Wezynfeld

Since Specialization
Citations

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

Fields of papers citing papers by Nina E. Wezynfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina E. Wezynfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Nina E. Wezynfeld. A scholar is included among the top collaborators of Nina E. Wezynfeld 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 Nina E. Wezynfeld. Nina E. Wezynfeld 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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