Silvia Marracci

650 citations
41 papers · 508 · h-index 14

Impact in

Papers in

Silvia Marracci

37 papers receiving 488 citations

Peers

Silvia Marracci
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 77
  • Developmental Neuroscience 15
  • Molecular Biology 248
  • Pharmacology 52
  • Genetics 78
Replace Junfang Zhang with:
Junfang Zhang China
Brandon M Jones United States
Gabriela Casanova Uruguay
Fedor M. Eroshkin Russia
David C. New Hong Kong
Lin Luo China
Benjamin T. Aldrich United States
Ramesh K. Narayanan Australia
Amandine Bonnet France
Gillian M. Stanfield United States
Silvia Marracci relative to Junfang Zhang China Junfang Zhang's profile →
Citations per field
00.5×1.7×
Junfang Zhang · 1×
Citations per year

Countries citing papers authored by Silvia Marracci

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Marracci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202070
2 201848
3 200744
4 199436
5 199629
6 199528
7 200327
8 199721
9 202220
10 200118
11 201716
12 201115
13 200715
14 202114
15 202312
16 202210
17 20049
18 20138
19
REPETITIVE DNA COMPONENTS OF THE LARGE HYDROMANTES GENOME: PHYLOGENETIC AND MOLECULAR ASPECTS
19997
20 20237

About Silvia Marracci

Silvia Marracci is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ophthalmology, Genetics and Plant Science, having authored 41 papers that have together received 508 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Chromosomal and Genetic Variations (9 papers), Genomics and Phylogenetic Studies (7 papers), Neurobiology and Insect Physiology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Plant Virus Research Studies (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (77 citations), Developmental Neuroscience (15 citations), Molecular Biology (248 citations), Pharmacology (52 citations) and Genetics (78 citations). Silvia Marracci has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Robert Vignali, Irma Nardi, Renata Batistoni, Graziano Pesole, Matilde Ragghianti, Claudio Casola, Giorgio Mancino, Stefania De Lucchini, Stefania Bucci and Thomas Uzzell. Their work appears in journals such as The International Journal of Developmental Biology, International Journal of Molecular Sciences, Cells, Journal of Molecular Evolution and Mechanisms of Development.

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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