Laura Mosca

740 citations
31 papers · 522 · h-index 15

Impact in

Papers in

    • RNA modifications and cancer 10
    • Epigenetics and DNA Methylation 5
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 6

Laura Mosca

30 papers receiving 517 citations

Peers

Laura Mosca
Comparison fields: 5 of 90
  • Cancer Research 200
  • Periodontics 30
  • Molecular Biology 312
  • Rheumatology 52
  • Oncology 78
Replace Yang Dong with:
Yang Dong China
Marie Saghaeian Jazi Iran
Chang Yang China
Pei‐Chun Hsueh Taiwan
Zhongling Luo China
João Paulo Mesquita Luiz Brazil
Tomohiro Nakayama Japan
Yi‐Ting Chuang Taiwan
Parvin Ataie-Kachoie Australia
Laura Mosca relative to Yang Dong China Yang Dong's profile →
Citations per field
00.5×6.5×
Yang Dong · 1×
Citations per year

Countries citing papers authored by Laura Mosca

Since Specialization
Citations

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

Fields of papers citing papers by Laura Mosca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201973
2 201739
3 201838
4 201833
5 202028
6 202027
7 202027
8 202126
9 202023
10 201922
11 201821
12 202019
13 202018
14 202216
15 202114
16 202013
17 202012
18 202012
19 202311
20 202210

About Laura Mosca

Laura Mosca is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Rheumatology and Oncology, having authored 31 papers that have together received 522 indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers), Epigenetics and DNA Methylation (5 papers), Folate and B Vitamins Research (4 papers), Autophagy in Disease and Therapy (4 papers), Oral Health Pathology and Treatment (3 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Cancer Research (200 citations), Periodontics (30 citations), Molecular Biology (312 citations), Rheumatology (52 citations) and Oncology (78 citations). Laura Mosca has collaborated with scholars based in Italy, Spain and Japan. Frequent co-authors include Marina Porcelli, Giovanna Cacciapuoti, Michele Caraglia, Martina Pagano, Luigi Mele, Concetta Paola Ilisso, Donatella Delle Cave, Vincenzo Desiderio, Marco Bocchetti and Lucio Quagliuolo. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, Cell Death and Disease, Journal of Cellular Physiology and Molecules.

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.

Explore authors with similar magnitude of impact