Kevin Wroblewski

11 total papers · 1000 total citations
9 papers, 817 citations indexed

About

Kevin Wroblewski is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Kevin Wroblewski has authored 9 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Epidemiology. Recurrent topics in Kevin Wroblewski's work include Nuclear Receptors and Signaling (4 papers), Lipid metabolism and biosynthesis (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Kevin Wroblewski is often cited by papers focused on Nuclear Receptors and Signaling (4 papers), Lipid metabolism and biosynthesis (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Kevin Wroblewski collaborates with scholars based in United States, Denmark and Singapore. Kevin Wroblewski's co-authors include Peter Tontonoz, Lily C. Chao, Andrea L. Hevener, Claudio J. Villanueva, Simon W. Beaven, Steven J. Bensinger, Cynthia Hong, Brian G. Drew, Laurent Vergnes and Karen Reue and has published in prestigious journals such as Gastroenterology, Molecular and Cellular Biology and Hepatology.

In The Last Decade

Kevin Wroblewski

9 papers receiving 812 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin Wroblewski 335 276 267 203 147 9 817
Michele Flowers 181 0.5× 139 0.5× 370 1.4× 40 0.2× 99 0.7× 9 729
Luca Fantoni 443 1.3× 307 1.1× 114 0.4× 29 0.1× 72 0.5× 8 1.0k
Nadine Watson 393 1.2× 274 1.0× 306 1.1× 111 0.5× 83 0.6× 9 968
Fanny Lalloyer 556 1.7× 247 0.9× 193 0.7× 32 0.2× 245 1.7× 17 901
Anne Fougerat 578 1.7× 248 0.9× 106 0.4× 52 0.3× 96 0.7× 20 1.0k
Julie Cavanagh-Kyros 581 1.7× 294 1.1× 226 0.8× 40 0.2× 100 0.7× 15 946
JC Fruchart 581 1.7× 144 0.5× 165 0.6× 37 0.2× 100 0.7× 9 898
Jeffrey L. Staecker 472 1.4× 83 0.3× 82 0.3× 62 0.3× 126 0.9× 10 829
Hannah Cohen 642 1.9× 79 0.3× 209 0.8× 49 0.2× 154 1.0× 14 932
Annemieke IJpenberg 683 2.0× 74 0.3× 187 0.7× 47 0.2× 105 0.7× 8 895

Countries citing papers authored by Kevin Wroblewski

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Wroblewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Wroblewski

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