Ombretta Guardiola

35 total papers · 1.1k total citations
23 papers, 773 citations indexed

About

Ombretta Guardiola is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Ombretta Guardiola has authored 23 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Surgery and 3 papers in Oncology. Recurrent topics in Ombretta Guardiola's work include Muscle Physiology and Disorders (10 papers), Tissue Engineering and Regenerative Medicine (3 papers) and RNA Research and Splicing (3 papers). Ombretta Guardiola is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Tissue Engineering and Regenerative Medicine (3 papers) and RNA Research and Splicing (3 papers). Ombretta Guardiola collaborates with scholars based in Italy, United States and France. Ombretta Guardiola's co-authors include Gabriella Minchiotti, Cristina D’Aniello, Silvia Brunelli, Raffaele Ambrosio, Alessandro Marsili, Gennaro Andolfi, Annarita Sibilio, P. Reed Larsen, Domenico Salvatore and Monica Dentice and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Ombretta Guardiola

23 papers receiving 766 citations

Author Peers

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

Author						Papers	Cites
Ombretta Guardiola	474	146	112	110	100	23	773
Katsushi Shibata	494 1.0×	144 1.0×	67 0.6×	105 1.0×	65 0.7×	29	852
Hesham M. El‐Shewy	455 1.0×	135 0.9×	104 0.9×	105 1.0×	27 0.3×	19	743
Huafei Zou	486 1.0×	104 0.7×	63 0.6×	78 0.7×	33 0.3×	25	770
Richard H. Pointer	482 1.0×	90 0.6×	187 1.7×	215 2.0×	62 0.6×	19	861
Benjamin C. Yaden	453 1.0×	144 1.0×	62 0.6×	60 0.5×	53 0.5×	20	802
Dong‐Sik Ham	327 0.7×	152 1.0×	275 2.5×	90 0.8×	46 0.5×	24	761
Yun Ning	359 0.8×	385 2.6×	181 1.6×	76 0.7×	76 0.8×	19	753
Toshiko Kasahara	546 1.2×	104 0.7×	157 1.4×	111 1.0×	22 0.2×	25	899
Erica V. Stein	390 0.8×	66 0.5×	141 1.3×	87 0.8×	41 0.4×	25	781
T. K. Shnitka	246 0.5×	86 0.6×	140 1.3×	133 1.2×	34 0.3×	28	758

Countries citing papers authored by Ombretta Guardiola

Since Specialization

Citations

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

Fields of papers citing papers by Ombretta Guardiola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ombretta Guardiola

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