Fabio M. Spiga

22 total papers · 852 total citations
9 papers, 649 citations indexed

About

Fabio M. Spiga is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Plant Science. According to data from OpenAlex, Fabio M. Spiga has authored 9 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Plant Science. Recurrent topics in Fabio M. Spiga's work include Advanced biosensing and bioanalysis techniques (3 papers), Ubiquitin and proteasome pathways (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Fabio M. Spiga is often cited by papers focused on Advanced biosensing and bioanalysis techniques (3 papers), Ubiquitin and proteasome pathways (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Fabio M. Spiga collaborates with scholars based in Switzerland, Italy and Germany. Fabio M. Spiga's co-authors include Carlotta Guiducci, Monica Gotta, Roland Bruderer, Kristijan Ramadan, Oliver Popp, Hemmo Meyer, Paolo Maietta, Myriam Alcalay, Heiko Müller and Micaela Quarto and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Analytical Chemistry.

In The Last Decade

Fabio M. Spiga

9 papers receiving 643 citations

Author Peers

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

Author						Papers	Cites
Fabio M. Spiga	507	159	158	98	77	9	649
Kris Leslie	486 1.0×	226 1.4×	86 0.5×	69 0.7×	44 0.6×	15	680
Julie Nguyen	317 0.6×	137 0.9×	120 0.8×	19 0.2×	58 0.8×	18	611
Mark Sefton	601 1.2×	99 0.6×	42 0.3×	37 0.4×	66 0.9×	17	749
Lara Cantarero	481 0.9×	78 0.5×	127 0.8×	15 0.2×	35 0.5×	16	763
Lesley A. Stolz	589 1.2×	84 0.5×	51 0.3×	14 0.1×	144 1.9×	11	788
Richard S. Kang	587 1.2×	178 1.1×	65 0.4×	21 0.2×	87 1.1×	15	740
Robert DeRose	577 1.1×	122 0.8×	86 0.5×	51 0.5×	38 0.5×	11	757
M. Binder	454 0.9×	96 0.6×	34 0.2×	50 0.5×	12 0.2×	19	643
Romain Wyss	590 1.2×	117 0.7×	113 0.7×	23 0.2×	11 0.1×	10	682
Sujna Raval-Fernandes	513 1.0×	26 0.2×	60 0.4×	22 0.2×	134 1.7×	14	725

Countries citing papers authored by Fabio M. Spiga

Since Specialization

Citations

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

Fields of papers citing papers by Fabio M. Spiga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio M. Spiga. 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 Fabio M. Spiga. The network helps show where Fabio M. Spiga may publish in the future.

Co-authorship network of co-authors of Fabio M. Spiga

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio M. Spiga. A scholar is included among the top collaborators of Fabio M. Spiga 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 Fabio M. Spiga. Fabio M. Spiga 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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