Serena Landini

22 total papers · 1.8k total citations
10 papers, 387 citations indexed

About

Serena Landini is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, Serena Landini has authored 10 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Serena Landini's work include Estrogen and related hormone effects (5 papers), Inflammatory mediators and NSAID effects (3 papers) and Epigenetics and DNA Methylation (2 papers). Serena Landini is often cited by papers focused on Estrogen and related hormone effects (5 papers), Inflammatory mediators and NSAID effects (3 papers) and Epigenetics and DNA Methylation (2 papers). Serena Landini collaborates with scholars based in United States and United Kingdom. Serena Landini's co-authors include Robert W. Brueggemeier, Bin Su, Edgar S. Díaz‐Cruz, Madge Y. Graham, Terrence L. Graham, David M. Livingston, Lisa Cameron, Sarah J. Hill, Daniel A. Mordes and Donna Neuberg and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Serena Landini

10 papers receiving 383 citations

Author Peers

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

Author Last Decade Papers Cites
Serena Landini 221 106 64 60 53 10 387
C. Damodar Reddy 195 0.9× 45 0.4× 35 0.5× 20 0.3× 43 0.8× 18 390
Satoru Asami 218 1.0× 32 0.3× 79 1.2× 44 0.7× 23 0.4× 20 387
Rosângela Mayer Gonçalves 204 0.9× 19 0.2× 21 0.3× 22 0.4× 32 0.6× 13 418
Pete Ansell 208 0.9× 107 1.0× 15 0.2× 12 0.2× 19 0.4× 8 364
Dorothée Baïlle 211 1.0× 22 0.2× 20 0.3× 35 0.6× 21 0.4× 10 433
David Koubi 237 1.1× 80 0.8× 19 0.3× 14 0.2× 18 0.3× 10 399
Zejin Sun 223 1.0× 39 0.4× 22 0.3× 18 0.3× 111 2.1× 19 445
Christopher Andrekopoulos 145 0.7× 42 0.4× 68 1.1× 8 0.1× 53 1.0× 6 354
Naoto Arimura 208 0.9× 19 0.2× 21 0.3× 39 0.7× 74 1.4× 9 419
María Eugenia Fermento 316 1.4× 37 0.3× 9 0.1× 23 0.4× 68 1.3× 17 444

Countries citing papers authored by Serena Landini

Since Specialization
Citations

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

Fields of papers citing papers by Serena Landini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Landini

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