Natalia Macchiaroli

39 total papers · 1.6k total citations
23 papers, 566 citations indexed

About

Natalia Macchiaroli is a scholar working on Pathology and Forensic Medicine, Parasitology and Surgery. According to data from OpenAlex, Natalia Macchiaroli has authored 23 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pathology and Forensic Medicine, 20 papers in Parasitology and 12 papers in Surgery. Recurrent topics in Natalia Macchiaroli's work include Parasitic infections in humans and animals (20 papers), Parasitic Infections and Diagnostics (15 papers) and Congenital Anomalies and Fetal Surgery (12 papers). Natalia Macchiaroli is often cited by papers focused on Parasitic infections in humans and animals (20 papers), Parasitic Infections and Diagnostics (15 papers) and Congenital Anomalies and Fetal Surgery (12 papers). Natalia Macchiaroli collaborates with scholars based in Argentina, United Kingdom and Germany. Natalia Macchiaroli's co-authors include Mara Cecília Rosenzvit, Marcela Cucher, Laura Kamenetzky, Lucas Maldonado, Klaus Brehm, Federico Camicia, Magdalena Zarowiecki, Oscar Jensen, Germán Baldi and Markus Spiliotis and has published in prestigious journals such as BMC Genomics, Genomics and PLoS neglected tropical diseases.

In The Last Decade

Natalia Macchiaroli

23 papers receiving 564 citations

Author Peers

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

Author						Papers	Cites
Natalia Macchiaroli	401	353	287	185	106	23	566
Aloukick Kumar Singh	318 0.8×	211 0.6×	169 0.6×	120 0.6×	74 0.7×	28	577
Xiaola Guo	215 0.5×	194 0.5×	125 0.4×	101 0.5×	319 3.0×	43	617
Yurong Yang	405 1.0×	180 0.5×	311 1.1×	121 0.7×	77 0.7×	16	570
Cecilia Fernández	402 1.0×	367 1.0×	195 0.7×	110 0.6×	122 1.2×	19	584
W. Frank	249 0.6×	162 0.5×	177 0.6×	123 0.7×	121 1.1×	39	541
Ghalia Boubaker	352 0.9×	344 1.0×	242 0.8×	119 0.6×	38 0.4×	37	564
Justin Komguep Nono	150 0.4×	330 0.9×	77 0.3×	125 0.7×	82 0.8×	27	651
A. Plancarte	542 1.4×	360 1.0×	358 1.2×	125 0.7×	37 0.3×	19	601
Yuxin Xu	109 0.3×	411 1.2×	50 0.2×	113 0.6×	56 0.5×	28	573
Isidro Gonzáles	534 1.3×	285 0.8×	308 1.1×	269 1.5×	24 0.2×	29	625

Countries citing papers authored by Natalia Macchiaroli

Since Specialization

Citations

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

Fields of papers citing papers by Natalia Macchiaroli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Macchiaroli

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