Vanessa Desantis

1.6k citations
48 papers · 1.0k · h-index 19

Impact in

Papers in

    • Protein Degradation and Inhibitors 6
    • Histone Deacetylase Inhibitors Research 4
    • RNA Interference and Gene Delivery 3
    • Multiple Myeloma Research and Treatments 21

Vanessa Desantis

41 papers receiving 992 citations

Peers

Vanessa Desantis
Comparison fields: 5 of 78
  • Hematology 428
  • Cancer Research 162
  • Oncology 260
  • Immunology 167
  • Molecular Biology 535
Replace Ilaria Saltarella with:
Ilaria Saltarella Italy
Nathalie Belhacène France
Baohua Sun United States
David Cervi United States
Wen Ling United States
Esther Masih‐Khan Canada
Pu Zhang China
Ladina Di Rago Australia
Ricardo López‐Pérez Spain
Behrouz Zand United States
Vanessa Desantis relative to Ilaria Saltarella Italy Ilaria Saltarella's profile →
Citations per field
00.5×3.2×
Ilaria Saltarella · 1×
Citations per year

Countries citing papers authored by Vanessa Desantis

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Desantis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016125
2 202081
3 201570
4 201857
5 201754
6 202152
7 201848
8 202044
9 201944
10 201843
11 202042
12 202233
13 201829
14 202325
15 202224
16 202124
17 201822
18 202120
19 202220
20 201417

About Vanessa Desantis

Vanessa Desantis is a scholar working on Molecular Biology, Hematology, Oncology, Cancer Research and Immunology, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (21 papers), Protein Degradation and Inhibitors (6 papers), MicroRNA in disease regulation (5 papers), CAR-T cell therapy research (4 papers), Histone Deacetylase Inhibitors Research (4 papers), RNA Interference and Gene Delivery (3 papers), Peptidase Inhibition and Analysis (3 papers) and Atrial Fibrillation Management and Outcomes (3 papers). The work is most often cited by research in Hematology (428 citations), Cancer Research (162 citations), Oncology (260 citations), Immunology (167 citations) and Molecular Biology (535 citations). Vanessa Desantis has collaborated with scholars based in Italy, Germany and Australia. Frequent co-authors include Angelo Vacca, Maria Antonia Frassanito, Antonio Giovanni Solimando, Ilaria Saltarella, Aurelia Lamanuzzi, Vito Racanelli, Roberto Ria, Doménico Ribatti, Maria Addolorata Mariggiò and Ruggiero Fumarulo. Their work appears in journals such as Journal of Clinical Medicine, International Journal of Molecular Sciences, Cancers, Oncotarget and Biomedicines.

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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