Rosaria Scozzari

13.7k citations
91 papers · 7.9k indexed · 1 hit paper · h-index 41

Rosaria Scozzari

90 papers receiving 7.5k citations

Hit Papers

Classification of European mtDNAs From an Analysis of Thr...6701996202620062016200400600

Peers

Rosaria Scozzari
Comparison fields: 5 of 163
  • Genetics 5.1k
  • Archeology 1.7k
  • Clinical Biochemistry 712
  • Paleontology 509
  • Sensory Systems 308
Replace Antonio Torroni with:
Antonio Torroni Italy
Jaume Bertranpetit Spain
Kenneth M. Weiss United States
Sarah A. Tishkoff United States
Theodore G. Schurr United States
Peter J. Oefner United States
Martin Kircher Germany
Manfred Kayser Netherlands
Toomas Kivisild Estonia
Guido Barbujani Italy
Rosaria Scozzari relative to Antonio Torroni Italy Antonio Torroni's profile →
Citations per field
00.5×1.5×
Antonio Torroni · 1×
Citations per year

Countries citing papers authored by Rosaria Scozzari

Since Specialization
Citations

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

Fields of papers citing papers by Rosaria Scozzari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rosaria Scozzari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rosaria Scozzari Line = papers co-authored together Rosaria Scozzari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201531
2 201450
3 201424
4 201147
5 201036
6 2008295
7 2004317
8 200347
9 200385
10 200395
11 2001165
12 199991
13 1998179
14 198932
15 198612
16 19813
17
Hidden phosphoglucomutase (PGM) genetic polymorphism in a natural population of Culiseta litorea (Diptera, Culicidae).
19771
18 19709
19 197012
20 19708

About Rosaria Scozzari

Rosaria Scozzari is a scholar working on Genetics, Archeology and Clinical Biochemistry, having authored 91 papers that have together received 7.9k indexed citations. Recurring topics across this work include Forensic and Genetic Research (46 papers), Genetic diversity and population structure (33 papers), Race, Genetics, and Society (15 papers), Genetic Associations and Epidemiology (12 papers), Erythrocyte Function and Pathophysiology (10 papers), Genomics and Phylogenetic Studies (10 papers), Forensic Anthropology and Bioarchaeology Studies (7 papers) and Chromosomal and Genetic Variations (7 papers). The work is most often cited by research in Genetics (5.1k citations), Archeology (1.7k citations) and Clinical Biochemistry (712 citations). Rosaria Scozzari has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Antonio Torroni, Fulvio Cruciani, Vincent Macaulay, Daniele Sellitto, Douglas C. Wallace, Martin Richards, Ornella Semino, Chiara Rengo, Marja‐Liisa Savontaus and Alfredo Coppa. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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