Serena Aneli

2.3k citations
27 papers · 245 · h-index 9

Impact in

    • Hepatocellular Carcinoma Treatment and Prognosis
    • Forensic and Genetic Research
    • Genetic diversity and population structure

Papers in

    • Forensic and Genetic Research 16
    • Genetic Associations and Epidemiology 5
    • Race, Genetics, and Society 4
    • Molecular Biology Techniques and Applications 3

Serena Aneli

24 papers receiving 242 citations

Peers

Serena Aneli
Comparison fields: 5 of 84
  • Hepatology 31
  • Genetics 107
  • Archeology 37
  • Paleontology 21
  • Anthropology 22
Replace Francisco R. Carnese with:
Francisco R. Carnese Argentina
Alicia S. Goicoechea Argentina
Jean Michel Dugoujon France
Tanya N. Augustine South Africa
Sergio Alejandro Avena Argentina
E. Huguet Spain
M. Gené Spain
Ulises Toscanini Argentina
Xiaomin Yang China
Serena Aneli relative to Francisco R. Carnese Argentina Francisco R. Carnese's profile →
Citations per field
00.5×9.3×
Francisco R. Carnese · 1×
Citations per year

Countries citing papers authored by Serena Aneli

Since Specialization
Citations

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

Fields of papers citing papers by Serena Aneli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Serena Aneli, 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 Serena Aneli Line = papers co-authored together Serena Aneli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 202036
3 202128
4 202224
5 201612
6 202411
7 20219
8 20179
9 20218
10 20227
11 20226
12 20206
13 20196
14 20216
15 20226
16 20225
17 20244
18 20243
19 20223
20 20193

About Serena Aneli

Serena Aneli is a scholar working on Genetics, Molecular Biology, Archeology, Epidemiology and Hepatology, having authored 27 papers that have together received 245 indexed citations. Recurring topics across this work include Forensic and Genetic Research (16 papers), Forensic Anthropology and Bioarchaeology Studies (7 papers), Genetic Associations and Epidemiology (5 papers), Race, Genetics, and Society (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Molecular Biology Techniques and Applications (3 papers), MicroRNA in disease regulation (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Hepatology (31 citations), Genetics (107 citations), Archeology (37 citations), Paleontology (21 citations) and Anthropology (22 citations). Serena Aneli has collaborated with scholars based in Italy, Estonia and United Kingdom. Frequent co-authors include Carlo Robino, Daniela Lacerenza, Paola Berchialla, Luca Pagani, Giuseppe Matullo, Sarah Gino, Eugenio Bortolini, Giovanni Birolo, Stefano Benazzi and Giulia Marciani. Their work appears in journals such as Forensic Science International Genetics, Genes, Cancers, Electrophoresis and Scientific Reports.

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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