Michael D. Zanolli

41 total papers · 1.1k total citations
28 papers, 757 citations indexed

About

Michael D. Zanolli is a scholar working on Dermatology, Immunology and Epidemiology. According to data from OpenAlex, Michael D. Zanolli has authored 28 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Dermatology, 10 papers in Immunology and 6 papers in Epidemiology. Recurrent topics in Michael D. Zanolli's work include Psoriasis: Treatment and Pathogenesis (10 papers), Nail Diseases and Treatments (3 papers) and Urticaria and Related Conditions (3 papers). Michael D. Zanolli is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (10 papers), Nail Diseases and Treatments (3 papers) and Urticaria and Related Conditions (3 papers). Michael D. Zanolli collaborates with scholars based in United States, Switzerland and United Kingdom. Michael D. Zanolli's co-authors include Joseph L. Jorizzo, Alvin R. Solomon, Barry Leshin, Robert B. Skinner, Patricia W. Noah, E. William Rosenberg, John Koo, Lynn A. Drake, Alan Menter and Jere D. Guin and has published in prestigious journals such as PEDIATRICS, Journal of the American Academy of Dermatology and IEEE Transactions on Magnetics.

In The Last Decade

Michael D. Zanolli

28 papers receiving 703 citations

Author Peers

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

Author Last Decade Papers Cites
Michael D. Zanolli 383 329 244 144 102 28 757
Anthony du Vivier 507 1.3× 224 0.7× 186 0.8× 141 1.0× 129 1.3× 55 891
Gregor von Kobyletzki 610 1.6× 233 0.7× 118 0.5× 279 1.9× 95 0.9× 39 825
A. Ilchyshyn 306 0.8× 137 0.4× 212 0.9× 139 1.0× 92 0.9× 43 683
M. J. D. Goodfield 321 0.8× 156 0.5× 323 1.3× 196 1.4× 89 0.9× 38 787
Martina Kerscher 478 1.2× 241 0.7× 93 0.4× 250 1.7× 79 0.8× 28 771
Felix Pavlotsky 286 0.7× 164 0.5× 191 0.8× 114 0.8× 46 0.5× 39 762
Irene Man 326 0.9× 216 0.7× 240 1.0× 72 0.5× 33 0.3× 30 707
Chang‐Keun Oh 371 1.0× 119 0.4× 227 0.9× 85 0.6× 65 0.6× 52 805
T. Hunziker 306 0.8× 318 1.0× 90 0.4× 118 0.8× 225 2.2× 41 867
Christina Stefanaki 438 1.1× 126 0.4× 165 0.7× 152 1.1× 87 0.9× 47 898

Countries citing papers authored by Michael D. Zanolli

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Zanolli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Zanolli. 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 Michael D. Zanolli. The network helps show where Michael D. Zanolli may publish in the future.

Co-authorship network of co-authors of Michael D. Zanolli

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Zanolli. A scholar is included among the top collaborators of Michael D. Zanolli 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 Michael D. Zanolli. Michael D. Zanolli 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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