Federico Gaiti

71 total papers · 2.4k total citations
21 papers, 609 citations indexed

About

Federico Gaiti is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Federico Gaiti has authored 21 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Federico Gaiti's work include Genomics and Phylogenetic Studies (8 papers), Single-cell and spatial transcriptomics (6 papers) and Genetic diversity and population structure (4 papers). Federico Gaiti is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Single-cell and spatial transcriptomics (6 papers) and Genetic diversity and population structure (4 papers). Federico Gaiti collaborates with scholars based in Australia, United States and Canada. Federico Gaiti's co-authors include Bernard M. Degnan, Miloš Tanurdžić, Andreas Hejnol, Arnau Sebé-Pedrós, Amos Tanay, David Lara‐Astiaso, Kevin Pang, Zohar Mukamel, Elad Chomsky and Ido Amit and has published in prestigious journals such as Science, Nature Communications and Nature Genetics.

In The Last Decade

Federico Gaiti

20 papers receiving 604 citations

Author Peers

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

Author						Papers	Cites
Federico Gaiti	418	121	114	78	74	21	609
Daniela Praher	283 0.7×	111 0.9×	182 1.6×	86 1.1×	123 1.7×	10	525
Yoshie Kawashima‐Ohya	391 0.9×	56 0.5×	74 0.6×	109 1.4×	56 0.8×	15	637
Derek Stefanik	341 0.8×	37 0.3×	137 1.2×	63 0.8×	56 0.8×	14	684
Bård Ove Karlsen	385 0.9×	103 0.9×	46 0.4×	147 1.9×	26 0.4×	29	667
Baptiste Saudemont	497 1.2×	29 0.2×	91 0.8×	52 0.7×	146 2.0×	12	660
Hans‐Jürgen Osigus	349 0.8×	30 0.2×	305 2.7×	100 1.3×	52 0.7×	20	663
Sylvain Marcellini	402 1.0×	50 0.4×	75 0.7×	95 1.2×	36 0.5×	37	638
Kevin G. Nyberg	356 0.9×	28 0.2×	92 0.8×	63 0.8×	34 0.5×	11	648
Adam Herman	310 0.7×	25 0.2×	90 0.8×	95 1.2×	123 1.7×	26	675
Vera Brekhman	201 0.5×	89 0.7×	173 1.5×	92 1.2×	10 0.1×	24	498

Countries citing papers authored by Federico Gaiti

Since Specialization

Citations

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

Fields of papers citing papers by Federico Gaiti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Gaiti

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