Rosa Anna Podda

14 total papers · 766 total citations
4 papers, 166 citations indexed

About

Rosa Anna Podda is a scholar working on Organic Chemistry, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Rosa Anna Podda has authored 4 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Organic Chemistry, 1 paper in Genetics and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Rosa Anna Podda's work include Autoimmune Bullous Skin Diseases (1 paper), Glycogen Storage Diseases and Myoclonus (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). Rosa Anna Podda is often cited by papers focused on Autoimmune Bullous Skin Diseases (1 paper), Glycogen Storage Diseases and Myoclonus (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). Rosa Anna Podda collaborates with scholars based in Italy and United States. Rosa Anna Podda's co-authors include Maria Alessio, Mario Cutrone, Anna Belloni Fortina, Francesco Zulian, Giorgia Martini, Francesco La Torre, Cristina Vallongo, Fernanda Falcini, V. Gerloni and Mauro Paradisi and has published in prestigious journals such as Journal of Pediatric Gastroenterology and Nutrition, Blood Cells Molecules and Diseases and Genetic Testing and Molecular Biomarkers.

In The Last Decade

Rosa Anna Podda

4 papers receiving 158 citations

Author Peers

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

Author Last Decade Papers Cites
Rosa Anna Podda 126 54 32 32 28 4 166
Niamh Quillinan 129 1.0× 65 1.2× 28 0.9× 37 1.2× 19 0.7× 8 247
C.C. Bunn 233 1.8× 96 1.8× 62 1.9× 46 1.4× 54 1.9× 2 275
M. Toth 120 1.0× 54 1.0× 41 1.3× 29 0.9× 35 1.3× 4 167
Athina Matekovits 34 0.3× 64 1.2× 10 0.3× 57 1.8× 58 2.1× 5 240
Cristina Vallongo 225 1.8× 103 1.9× 53 1.7× 52 1.6× 53 1.9× 3 249
Amélie Chabrol 119 0.9× 23 0.4× 88 2.8× 19 0.6× 41 1.5× 6 201
Steven Weiner 189 1.5× 80 1.5× 90 2.8× 38 1.2× 53 1.9× 6 253
Paolo Airó 150 1.2× 51 0.9× 37 1.2× 84 2.6× 82 2.9× 7 213
Mathew Rose 71 0.6× 46 0.9× 12 0.4× 151 4.7× 71 2.5× 6 218
Helena Borrell 61 0.5× 31 0.6× 64 2.0× 51 1.6× 27 1.0× 5 233

Countries citing papers authored by Rosa Anna Podda

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Anna Podda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Anna Podda. 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 Rosa Anna Podda. The network helps show where Rosa Anna Podda may publish in the future.

Co-authorship network of co-authors of Rosa Anna Podda

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Anna Podda. A scholar is included among the top collaborators of Rosa Anna Podda 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 Rosa Anna Podda. Rosa Anna Podda 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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