Sara Guzzetti

16 papers receiving 318 citations

Peers

Sara Guzzetti
Comparison fields: 5 of 65
  • Biological Psychiatry 28
  • Behavioral Neuroscience 24
  • Cellular and Molecular Neuroscience 109
  • Genetics 39
  • Genetics 75
Replace R.B. Lu with:
R.B. Lu Taiwan
Yi T. Tseng United States
Angelique Regnier‐Golanov United States
Maria Burkovetskaya United States
Reeteka Sud United States
Cornelia Poulopoulou Greece
Stephanie L. Ciarlone United States
Réka Kovács-Nagy Hungary
Zujia Wen China
Fernando J. Bustos Chile
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Citations per field
00.5×4.9×
R.B. Lu · 1×
Citations per year

Countries citing papers authored by Sara Guzzetti

Since Specialization
Citations

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

Fields of papers citing papers by Sara Guzzetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200861
2 200843
3 199641
4 200736
5 201324
6 200818
7 201818
8 201916
9 201815
10
Genic amplification test in the diagnosis of mammary and disseminated tuberculosis.
199912
11 201910
12 200910
13 20218
14 20096
15
[Difference in the behavior of T-lymphocyte populations in heroin and methadone addicts].
19835
16
Malattia di Crohn e Cancro.
20172
17 20230

About Sara Guzzetti

Sara Guzzetti is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Surgery, having authored 17 papers that have together received 325 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Genetic Syndromes and Imprinting (6 papers), Prenatal Screening and Diagnostics (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Diagnosis and treatment of tuberculosis (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Treatment of Major Depression (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Behavioral Neuroscience (24 citations), Cellular and Molecular Neuroscience (109 citations), Genetics (39 citations) and Genetics (75 citations). Sara Guzzetti has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Luigi Cervo, Roberto William Invernizzi, Eleonora Calcagno, Silvio Caccia, Claudia Fracasso, David Lefroy, Silvia Russo, Paola De Giorgio, William J. McKenna and Petros Nihoyannopoulos. Their work appears in journals such as Frontiers in Genetics, The International Journal of Neuropsychopharmacology, The Journal of Clinical Endocrinology & Metabolism, Neuropathology and Genetics Research.

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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