L. Gaydos

15 total papers · 658 total citations
11 papers, 574 citations indexed

About

L. Gaydos is a scholar working on Pharmacology, Immunology and Molecular Biology. According to data from OpenAlex, L. Gaydos has authored 11 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in L. Gaydos's work include Bone health and treatments (3 papers), Inflammatory mediators and NSAID effects (2 papers) and NF-κB Signaling Pathways (2 papers). L. Gaydos is often cited by papers focused on Bone health and treatments (3 papers), Inflammatory mediators and NSAID effects (2 papers) and NF-κB Signaling Pathways (2 papers). L. Gaydos collaborates with scholars based in United States and Portugal. L. Gaydos's co-authors include Laurence M. Demers, Douglas C. Kuhn, Shiyu Sun, Allan Lipton, Fei Chen, Luís Costa, Vernon M. Chinchilli, L. M. Demers, Fei Chen and Gabriel Hortobagyi and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Clinical Chemistry and European Journal of Cancer.

In The Last Decade

L. Gaydos

11 papers receiving 554 citations

Author Peers

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

Author Last Decade Papers Cites
L. Gaydos 239 173 163 118 93 11 574
Farhat V. N. Din 207 0.9× 227 1.3× 60 0.4× 46 0.4× 203 2.2× 14 686
Reto Cortesi 252 1.1× 209 1.2× 54 0.3× 81 0.7× 20 0.2× 7 583
Toshi Yoneda 187 0.8× 256 1.5× 60 0.4× 22 0.2× 180 1.9× 10 606
Binu K. Philip 171 0.7× 150 0.9× 51 0.3× 111 0.9× 28 0.3× 17 499
Yaoguo Lang 141 0.6× 271 1.6× 85 0.5× 11 0.1× 76 0.8× 13 539
Jyh-Cherng Yu 147 0.6× 295 1.7× 79 0.5× 52 0.4× 176 1.9× 20 553
Ann Van Campenhout 116 0.5× 283 1.6× 49 0.3× 15 0.1× 52 0.6× 14 680
Graham L. Thomas 42 0.2× 221 1.3× 146 0.9× 23 0.2× 54 0.6× 10 660
Laura Martínez‐Arias 52 0.2× 244 1.4× 99 0.6× 19 0.2× 87 0.9× 19 640
Xianwen Zhao 183 0.8× 179 1.0× 85 0.5× 31 0.3× 141 1.5× 15 581

Countries citing papers authored by L. Gaydos

Since Specialization
Citations

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

Fields of papers citing papers by L. Gaydos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Gaydos

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