Gianluca D’Abrosca

409 citations
30 papers · 297 · h-index 12

Impact in

Papers in

    • RNA and protein synthesis mechanisms 7
    • Protein Structure and Dynamics 5
    • Ubiquitin and proteasome pathways 2
    • Peptidase Inhibition and Analysis 3

Gianluca D’Abrosca

28 papers receiving 295 citations

Peers

Gianluca D’Abrosca
Comparison fields: 5 of 81
  • Nutrition and Dietetics 34
  • Molecular Biology 147
  • Molecular Medicine 9
  • Pollution 21
  • Physiology 40
Replace Jared K. Raynes with:
Jared K. Raynes Australia
Aik-Hong Teh Malaysia
Carmen Gruber‐Traub Germany
Р. С. Шакулов Russia
Linda A. Silveira United States
Antonín Kunka Czechia
Anita J. Grosvenor New Zealand
Caro Condon Ireland
Vincenzo Granata Italy
Elizabeth B. Sawyer United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Gianluca D’Abrosca

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca D’Abrosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gianluca D’Abrosca. 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 Gianluca D’Abrosca. The network helps show where Gianluca D’Abrosca may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201952
2 201724
3 201822
4 201818
5 201618
6 201818
7 201917
8 202213
9 202013
10 202012
11 202011
12 202211
13 202011
14 20189
15 20248
16 20237
17 20226
18 20205
19 20224
20 20233

About Gianluca D’Abrosca

Gianluca D’Abrosca is a scholar working on Molecular Biology, Oncology, Cell Biology, Nutrition and Dietetics and Genetics, having authored 30 papers that have together received 297 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Protein Structure and Dynamics (5 papers), Trace Elements in Health (4 papers), Enzyme Structure and Function (3 papers), Peptidase Inhibition and Analysis (3 papers), Bacterial Genetics and Biotechnology (3 papers), Alzheimer's disease research and treatments (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Nutrition and Dietetics (34 citations), Molecular Biology (147 citations), Molecular Medicine (9 citations), Pollution (21 citations) and Physiology (40 citations). Gianluca D’Abrosca has collaborated with scholars based in Italy, United States and Ethiopia. Frequent co-authors include Gaetano Malgieri, Roberto Fattorusso, Carla Isernia, L. Russo, Paolo V. Pedone, Ilaria Baglivo, Rosa Iacovino, Danilo Milardi, Emilia Pedone and Luciano Pirone. Their work appears in journals such as Chemical Science, Scientific Reports, International Journal of Molecular Sciences, Molecules and Frontiers in Chemistry.

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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