Mariangela De Robertis

1.6k citations
30 papers · 1.2k indexed · 1 hit paper · h-index 17
Topics
Microbial Inactivation Methods (7 papers)Immunotherapy and Immune Responses (4 papers)Virus-based gene therapy research (3 papers)
Partner nations
ItalySpainUnited States

In The Last Decade

Mariangela De Robertis

28 papers receiving 1.2k citations

Hit Papers

The AOM/DSS murine model for the study of colon carcinoge...20112026201620212011100200300400

Peers

Mariangela De Robertis
Comparison fields: 5 of 106
  • Molecular Biology 691
  • Immunology 277
  • Oncology 275
  • Cancer Research 230
  • Biotechnology 148
Replace Zhiming Hu with:
Zhiming Hu China
Jiahong Dong China
Emanuela Massi Italy
Ramesh B. Batchu United States
Like Qu China
Susumu Nakata Japan
Robert Wild United States
Kulthida Vaeteewoottacharn Thailand
Ghanbar Mahmoodi Chalbatani Iran
Mariangela De Robertis relative to Zhiming Hu China Zhiming Hu's profile →
Citations per field
00.5×1.5×
Zhiming Hu · 1×
Citations per year

Countries citing papers authored by Mariangela De Robertis

Since Specialization
Citations

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

Fields of papers citing papers by Mariangela De Robertis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariangela De Robertis. 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 Mariangela De Robertis. The network helps show where Mariangela De Robertis may publish in the future.

Co-authorship network of co-authors of Mariangela De Robertis

This figure shows the co-authorship network connecting the top 25 collaborators of Mariangela De Robertis. A scholar is included among the top collaborators of Mariangela De Robertis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mariangela De Robertis. Mariangela De Robertis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 10
3 7
4 13
5 9
6 24
7 27
8 139
9 14
10 17
11 28
12 14
13 64
14
The AOM/DSS murine model for the study of colon carcinogenesis: From pathways to diagnosis and therapy studiesbreakdown →
448
15 19
16 67
17 18
18 36
19 28
20 3

About Mariangela De Robertis

Mariangela De Robertis is a scholar working on Biotechnology, Cancer Research and Immunology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (7 papers), Immunotherapy and Immune Responses (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Biotechnology (148 citations), Cancer Research (230 citations) and Immunology (277 citations). Mariangela De Robertis has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Emanuela Signori, Vito Michele Fazio, Emanuela Massi, Maria Luana Poeta, Simone Carotti, S. Morini, Pieranna Chiarella, P. Postorino, Francesco Mura and Angelo Sarra. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and Clinical Cancer Research.

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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