Elisabetta Giannessi

532 citations
38 papers · 420 · h-index 13

Impact in

Papers in

Elisabetta Giannessi

37 papers receiving 409 citations

Peers

Elisabetta Giannessi
Comparison fields: 5 of 83
  • Genetics 77
  • Urology 42
  • Cellular and Molecular Neuroscience 108
  • Animal Science and Zoology 55
  • Developmental Neuroscience 13
Replace Ioannis Grivas with:
Ioannis Grivas Greece
Aletta C. Schnitzler United States
Cymbeline T. Culiat United States
Umberto Tosi United States
Ferdinando Scavizzi Italy
Miki Taketomi Saito Brazil
Ethel Cosmos Canada
Yvette S. Nout United States
Sébastien H. Bauquier Australia
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Citations per field
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Citations per year

Countries citing papers authored by Elisabetta Giannessi

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Giannessi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201448
2 200845
3 200835
4 201830
5 201526
6
Morphological and histological study of the ostrich (Struthio Camelus L.) liver and biliary system.
200621
7 201619
8 201518
9 201117
10 201714
11 201514
12 201912
13 201712
14 201911
15 20239
16 20188
17 20208
18 20168
19
Cell proliferation and apoptosis during histogenesis of the guinea pig and rabbit cerebellar cortex.
20028
20 20176

About Elisabetta Giannessi

Elisabetta Giannessi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Animal Science and Zoology, Surgery and Urology, having authored 38 papers that have together received 420 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Human-Animal Interaction Studies (3 papers), Cannabis and Cannabinoid Research (3 papers), Neuroscience and Neural Engineering (3 papers), Nerve injury and regeneration (3 papers), Mesenchymal stem cell research (3 papers), Meat and Animal Product Quality (3 papers) and Animal Nutrition and Physiology (3 papers). The work is most often cited by research in Genetics (77 citations), Urology (42 citations), Cellular and Molecular Neuroscience (108 citations), Animal Science and Zoology (55 citations) and Developmental Neuroscience (13 citations). Elisabetta Giannessi has collaborated with scholars based in Italy, China and Russia. Frequent co-authors include Alessandra Coli, Vincenzo Miragliotta, Andrea Pirone, Carla Lenzi, Francesca Abramo, F. Scatena, Bruno Cozzi, Giovanni Vozzi, Chiara Magliaro and María Alejandra Stornelli. Their work appears in journals such as Journal of Anatomy, Animals, APL Bioengineering, Journal of Bioactive and Compatible Polymers and PeerJ.

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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