Nina Wronkowitz

9 total papers · 872 total citations
7 papers, 738 citations indexed

About

Nina Wronkowitz is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nina Wronkowitz has authored 7 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nina Wronkowitz's work include Diabetes Treatment and Management (4 papers), Neuropeptides and Animal Physiology (3 papers) and Peptidase Inhibition and Analysis (3 papers). Nina Wronkowitz is often cited by papers focused on Diabetes Treatment and Management (4 papers), Neuropeptides and Animal Physiology (3 papers) and Peptidase Inhibition and Analysis (3 papers). Nina Wronkowitz collaborates with scholars based in Germany, Belgium and Spain. Nina Wronkowitz's co-authors include Jürgen Eckel, Henrike Sell, D. Margriet Ouwens, Johannes Ruige, Sonja Hartwig, Stefan Müller, Daniela Lamers, Peter Arner, Kristin Eckardt and Mikael Rydén and has published in prestigious journals such as Diabetes, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Journal of Hypertension.

In The Last Decade

Nina Wronkowitz

7 papers receiving 727 citations

Hit Papers

Dipeptidyl Peptidase 4 Is... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Nina Wronkowitz 384 296 186 167 160 7 738
Stefan Müller 280 0.7× 217 0.7× 187 1.0× 121 0.7× 229 1.4× 4 725
Rupert G. Yip 464 1.2× 120 0.4× 247 1.3× 142 0.9× 46 0.3× 6 645
Anna Pezzatini 400 1.0× 175 0.6× 204 1.1× 105 0.6× 39 0.2× 13 683
Nobuo Kajitani 338 0.9× 94 0.3× 168 0.9× 55 0.3× 87 0.5× 10 639
Maxi Meissner 144 0.4× 218 0.7× 216 1.2× 41 0.2× 117 0.7× 11 716
Raphaela Schlich 134 0.3× 81 0.3× 176 0.9× 60 0.4× 188 1.2× 8 635
Bea Waser 255 0.7× 207 0.7× 198 1.1× 73 0.4× 265 1.7× 7 669
Fiona O’Mahony 143 0.4× 84 0.3× 303 1.6× 59 0.4× 74 0.5× 17 727
Kikuko Amo 221 0.6× 77 0.3× 276 1.5× 49 0.3× 144 0.9× 9 765
Roberta Minotti 305 0.8× 97 0.3× 272 1.5× 45 0.3× 36 0.2× 8 776

Countries citing papers authored by Nina Wronkowitz

Since Specialization
Citations

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

Fields of papers citing papers by Nina Wronkowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Wronkowitz

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