Danielle Braggio

742 citations
19 papers · 577 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Rheumatology top 10%
    • Soft tissue tumor case studies

Papers in

    • Extracellular vesicles in disease 5
    • Histone Deacetylase Inhibitors Research 2
    • RNA Interference and Gene Delivery 2
    • Soft tissue tumor case studies 6

Danielle Braggio

19 papers receiving 569 citations

Peers

Danielle Braggio
Comparison fields: 5 of 70
  • Cancer Research 181
  • Rheumatology 79
  • Pulmonary and Respiratory Medicine 140
  • Molecular Biology 325
  • Oncology 114
Replace Takuhiro Kohsaki with:
Takuhiro Kohsaki Japan
Yan Qiu China
Lifeng Wang China
Liangcai Wu China
Tessa Y. S. Le Large Netherlands
Ella Liberzon Israel
Reigetsu Yoshikawa Japan
Mariusz Gryko Poland
Е. С. Герштейн Russia
Inna Khodos United States
Danielle Braggio relative to Takuhiro Kohsaki Japan Takuhiro Kohsaki's profile →
Citations per field
00.5×3.5×
Takuhiro Kohsaki · 1×
Citations per year

Countries citing papers authored by Danielle Braggio

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Braggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2017151
2 201589
3 201566
4 201551
5 202144
6 201927
7 202020
8 201619
9 201918
10 201814
11 202213
12 201713
13 202013
14 201212
15 201612
16 20209
17 20213
18 20082
19 20211

About Danielle Braggio

Danielle Braggio is a scholar working on Molecular Biology, Rheumatology, Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 19 papers that have together received 577 indexed citations. Recurring topics across this work include Soft tissue tumor case studies (6 papers), MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Histone Deacetylase Inhibitors Research (2 papers), RNA Interference and Gene Delivery (2 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). The work is most often cited by research in Cancer Research (181 citations), Rheumatology (79 citations), Pulmonary and Respiratory Medicine (140 citations), Molecular Biology (325 citations) and Oncology (114 citations). Danielle Braggio has collaborated with scholars based in United States, Israel and Brazil. Frequent co-authors include Raphael E. Pollock, Gonzalo Lopez, Dina Lev, Lucia Casadei, Abeba Zewdu, Chad J. Creighton, Kara Batte, Kate Lynn J. Bill, Alexander J. Lazar and Svetlana Bolshakov. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Cancer, Cancer Research and Journal of Microelectromechanical Systems.

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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