Assunta Melaccio

748 citations
29 papers · 473 · h-index 13

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis

Papers in

    • RNA Interference and Gene Delivery 3
    • HER2/EGFR in Cancer Research 6
    • Cancer Treatment and Pharmacology 2

Assunta Melaccio

27 papers receiving 470 citations

Peers

Assunta Melaccio
Comparison fields: 5 of 70
  • Hematology 222
  • Oncology 180
  • Cancer Research 94
  • Genetics 52
  • Immunology 103
Replace Aurelia Lamanuzzi with:
Aurelia Lamanuzzi Italy
Paolo Ditonno Italy
Jean Emmanuel Sarry France
Timothy N. Trotter United States
Antonio Cusmai Italy
Alexander B. Sibley United States
Natalie Stickel Germany
Annemiek Broijl Netherlands
Luke B. Fletcher United States
Assunta Melaccio relative to Aurelia Lamanuzzi Italy Aurelia Lamanuzzi's profile →
Citations per field
00.5×1.5×
Aurelia Lamanuzzi · 1×
Citations per year

Countries citing papers authored by Assunta Melaccio

Since Specialization
Citations

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

Fields of papers citing papers by Assunta Melaccio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202079
2 201763
3 201944
4 202042
5 202030
6 201522
7 201421
8 202120
9 202218
10 202117
11 201816
12 202114
13 202313
14 202111
15 201611
16 20249
17 20208
18 20208
19 20226
20 20205

About Assunta Melaccio

Assunta Melaccio is a scholar working on Molecular Biology, Oncology, Hematology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 473 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), HER2/EGFR in Cancer Research (6 papers), MicroRNA in disease regulation (4 papers), Advanced Breast Cancer Therapies (4 papers), RNA Interference and Gene Delivery (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Cancer Treatment and Pharmacology (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Hematology (222 citations), Oncology (180 citations), Cancer Research (94 citations), Genetics (52 citations) and Immunology (103 citations). Assunta Melaccio has collaborated with scholars based in Italy, Australia and Germany. Frequent co-authors include Angelo Vacca, Roberto Ria, Antonio Giovanni Solimando, Ilaria Saltarella, Aurelia Lamanuzzi, Vanessa Desantis, Maria Antonia Frassanito, Vito Racanelli, Franco Dammacco and Maria Addolorata Mariggiò. Their work appears in journals such as Journal of Clinical Medicine, Cancers, Expert Opinion on Drug Safety, Future Oncology and Surgery.

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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