Francesca De Santis

460 citations
24 papers · 347 · h-index 10

Impact in

Papers in

    • Epigenetics and DNA Methylation 3
    • Retinoids in leukemia and cellular processes 2
    • Receptor Mechanisms and Signaling 2
    • Cancer Immunotherapy and Biomarkers 6
    • Cancer Cells and Metastasis 4

Francesca De Santis

22 papers receiving 345 citations

Peers

Francesca De Santis
Comparison fields: 5 of 65
  • Hematology 51
  • Molecular Medicine 19
  • Molecular Biology 250
  • Oncology 56
  • Cancer Research 24
Replace Xiangpeng Sheng with:
Xiangpeng Sheng China
Hui Si Kwok United States
Shicong Zhu China
Mobeen Malik United States
Lynn Lehmann United States
Elizabeta A. Rojas Spain
Charu Mehta United States
Winnie Tan Australia
Lindsay Saunders United States
Elisabeth J. Shaw United Kingdom
Francesca De Santis relative to Xiangpeng Sheng China Xiangpeng Sheng's profile →
Citations per field
00.5×4.8×
Xiangpeng Sheng · 1×
Citations per year

Countries citing papers authored by Francesca De Santis

Since Specialization
Citations

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

Fields of papers citing papers by Francesca De Santis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200679
2 201439
3 201132
4 201926
5 201724
6 202023
7 201622
8 200422
9 202215
10 200713
11 20219
12 20218
13 20247
14 20165
15 20214
16 20214
17 19844
18 20213
19 20073
20 20042

About Francesca De Santis

Francesca De Santis is a scholar working on Molecular Biology, Oncology, Immunology, Molecular Medicine and Cancer Research, having authored 24 papers that have together received 347 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Immunotherapy and Immune Responses (5 papers), Cancer Cells and Metastasis (4 papers), Cancer Genomics and Diagnostics (3 papers), Antibiotic Resistance in Bacteria (3 papers), Epigenetics and DNA Methylation (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Hematology (51 citations), Molecular Medicine (19 citations), Molecular Biology (250 citations), Oncology (56 citations) and Cancer Research (24 citations). Francesca De Santis has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Arantxa Gutiérrez, Saverio Minucci, Raffaella Villa, Massimo Di Nicola, Luciano Di Croce, Pier Giuseppe Pelicci, Yvan Torrente, Veronica A. Raker, Massimo Corsaro and Daniela Bossi. Their work appears in journals such as Pain, Cytokine & Growth Factor Reviews, Proceedings of the National Academy of Sciences, ESMO Open and Critical Reviews in Oncology/Hematology.

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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