Gemma D’Aniello

11 total papers · 637 total citations
11 papers, 537 citations indexed

About

Gemma D’Aniello is a scholar working on Biochemistry, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Gemma D’Aniello has authored 11 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biochemistry, 5 papers in Molecular Biology and 4 papers in Clinical Biochemistry. Recurrent topics in Gemma D’Aniello's work include Amino Acid Enzymes and Metabolism (6 papers), Metabolism and Genetic Disorders (4 papers) and Polyamine Metabolism and Applications (3 papers). Gemma D’Aniello is often cited by papers focused on Amino Acid Enzymes and Metabolism (6 papers), Metabolism and Genetic Disorders (4 papers) and Polyamine Metabolism and Applications (3 papers). Gemma D’Aniello collaborates with scholars based in Italy, United States and Sweden. Gemma D’Aniello's co-authors include Antimo D’Aniello, Salvatore Ronsini, Maria Maddalena Di Fiore, G. H. Fisher, Achille Tolino, Francesco Errico, Andrea Soricelli, Enza Topo, Patrizia Spinelli and Giavonni Lewis and has published in prestigious journals such as FEBS Letters, Endocrinology and Fertility and Sterility.

In The Last Decade

Gemma D’Aniello

11 papers receiving 519 citations

Author Peers

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

Author						Papers	Cites
Gemma D’Aniello	331	222	152	88	63	11	537
Patricia E. Wall	59 0.2×	132 0.6×	56 0.4×	29 0.3×	13 0.2×	9	578
Miriam Marbach	20 0.1×	260 1.2×	47 0.3×	62 0.7×	35 0.6×	16	478
E. Anne Bergner	54 0.2×	267 1.2×	49 0.3×	8 0.1×	99 1.6×	8	521
R A Coleman	149 0.5×	183 0.8×	36 0.2×	35 0.4×	21 0.3×	13	494
Alexander Rotmann	222 0.7×	224 1.0×	58 0.4×	40 0.5×	19 0.3×	9	608
Amy L. Wiseman	293 0.9×	261 1.2×	14 0.1×	24 0.3×	4 0.1×	7	579
Irene Pradas	60 0.2×	306 1.4×	28 0.2×	19 0.2×	6 0.1×	18	529
Françoise Gasnier	92 0.3×	360 1.6×	29 0.2×	25 0.3×	3 0.0×	11	526
Inmaculada R. Puertes	224 0.7×	203 0.9×	45 0.3×	29 0.3×	3 0.0×	25	521
Brianna L. Peterson	50 0.2×	227 1.0×	17 0.1×	67 0.8×	11 0.2×	16	539

Countries citing papers authored by Gemma D’Aniello

Since Specialization

Citations

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

Fields of papers citing papers by Gemma D’Aniello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gemma D’Aniello. 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 Gemma D’Aniello. The network helps show where Gemma D’Aniello may publish in the future.

Co-authorship network of co-authors of Gemma D’Aniello

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma D’Aniello. A scholar is included among the top collaborators of Gemma D’Aniello 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 Gemma D’Aniello. Gemma D’Aniello 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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