Paul Bigliardi

129 total papers · 3.8k total citations
83 papers, 2.8k citations indexed

About

Paul Bigliardi is a scholar working on Dermatology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Paul Bigliardi has authored 83 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Dermatology, 13 papers in Molecular Biology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Paul Bigliardi's work include Dermatology and Skin Diseases (21 papers), Contact Dermatitis and Allergies (15 papers) and Neuropeptides and Animal Physiology (11 papers). Paul Bigliardi is often cited by papers focused on Dermatology and Skin Diseases (21 papers), Contact Dermatitis and Allergies (15 papers) and Neuropeptides and Animal Physiology (11 papers). Paul Bigliardi collaborates with scholars based in Singapore, Switzerland and United States. Paul Bigliardi's co-authors include Mei Bigliardi‐Qi, Gopu Sriram, Theo Rufli, Jai‐Kyong Pyon, Martin A. Villa, S.A. Büchner, Yuri Dancik, Lazar T. Sumanovski, Claire Gavériaux‐Ruff and Srinivas Ramasamy and has published in prestigious journals such as The Lancet, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Paul Bigliardi

75 papers receiving 2.7k citations

Hit Papers

Povidone iodine in wound ... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Paul Bigliardi 838 494 369 358 345 83 2.8k
Tobias Goerge 375 0.4× 859 1.7× 304 0.8× 172 0.5× 212 0.6× 82 4.2k
Edward J. Macarak 350 0.4× 1.2k 2.5× 384 1.0× 288 0.8× 211 0.6× 112 4.4k
Sarah Hedtrich 933 1.1× 907 1.8× 232 0.6× 655 1.8× 300 0.9× 106 3.7k
Frédéric Bonté 1.0k 1.2× 957 1.9× 249 0.7× 195 0.5× 566 1.6× 73 3.5k
Akane Tanaka 598 0.7× 556 1.1× 451 1.2× 71 0.2× 259 0.8× 129 2.6k
Young‐Ho Lee 875 1.0× 1.8k 3.7× 282 0.8× 146 0.4× 155 0.4× 111 4.3k
Yuval Ramot 1.0k 1.2× 835 1.7× 165 0.4× 313 0.9× 104 0.3× 139 3.6k
Ulf Anderegg 335 0.4× 1.2k 2.4× 206 0.6× 395 1.1× 365 1.1× 92 3.7k
George F. Odland 480 0.6× 508 1.0× 187 0.5× 221 0.6× 539 1.6× 38 2.7k
John E. Olerud 935 1.1× 1.4k 2.9× 480 1.3× 531 1.5× 1.7k 4.9× 117 5.4k

Countries citing papers authored by Paul Bigliardi

Since Specialization
Citations

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

Fields of papers citing papers by Paul Bigliardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Bigliardi

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