Daniela Meco

43 papers receiving 1.5k citations

Peers

Daniela Meco
Comparison fields: 5 of 100
  • Cancer Research 235
  • Immunology 335
  • Behavioral Neuroscience 48
  • Genetics 139
  • Developmental Neuroscience 53
Replace Marella Maroder with:
Marella Maroder Italy
Laura J. Lewis‐Tuffin United States
Liyin Zhu United States
Christopher J. Molineaux United States
S Krajewski United States
Miguel Á. Japón Spain
Ruben Papoian United States
Mirang Kim South Korea
Chung Kwon Kim South Korea
Jana K. Sonner Germany
Daniela Meco relative to Marella Maroder Italy Marella Maroder's profile →
Citations per field
00.5×1.5×
Marella Maroder · 1×
Citations per year

Countries citing papers authored by Daniela Meco

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Meco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992210
2 1989152
3 199687
4 200384
5 200176
6 200372
7
Complete protection by high-dose dexamethasone against the hepatotoxicity of the novel antitumor drug yondelis (ET-743) in the rat.
200360
8 200658
9 199153
10 199352
11 199252
12 199147
13 202343
14 199439
15 199932
16 200131
17 199529
18 201228
19 199928
20 199427

About Daniela Meco

Daniela Meco is a scholar working on Cancer Research, Genetics, Neurology, Molecular Biology and Immunology, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (9 papers), Neuroblastoma Research and Treatments (7 papers), Glioma Diagnosis and Treatment (7 papers), Retinoids in leukemia and cellular processes (5 papers), Sarcoma Diagnosis and Treatment (4 papers), NF-κB Signaling Pathways (4 papers), T-cell and B-cell Immunology (4 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Cancer Research (235 citations), Immunology (335 citations), Behavioral Neuroscience (48 citations), Genetics (139 citations) and Developmental Neuroscience (53 citations). Daniela Meco has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alberto Gulino, Isabella Screpanti, Riccardo Riccardi, Marella Maroder, Alessandra Vacca, Luigi Frati, María Pía Felli, Antonietta Rosella Farina, Tiziana Servidei and Stefania Morrone. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, European Journal of Cancer, Biochemical Pharmacology, International Journal of Cancer and The Journal of Immunology.

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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