Daniel Rivera

861 citations
24 papers · 270 · h-index 8

Impact in

    • Nanoparticle-Based Drug Delivery
    • Nanoplatforms for cancer theranostics
    • Characterization and Applications of Magnetic Nanoparticles
    • Ultrasound and Hyperthermia Applications

Papers in

Daniel Rivera

21 papers receiving 265 citations

Peers

Daniel Rivera
Comparison fields: 5 of 77
  • Biomaterials 59
  • Biomedical Engineering 111
  • Genetics 18
  • Biophysics 9
  • Nutrition and Dietetics 22
Replace Yitian Jiang with:
Yitian Jiang China
Anindit Mukherjee United States
Kaiyun Yang China
Jaron G. de Wit Netherlands
Bethany Almeida United States
Soo Hyun Shin United States
Kathleen Cullion United States
Marina Simón France
Barbara Bortot Italy
Daniel Rivera relative to Yitian Jiang China Yitian Jiang's profile →
Citations per field
00.5×4.5×
Yitian Jiang · 1×
Citations per year

Countries citing papers authored by Daniel Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Rivera, 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 Daniel Rivera Line = papers co-authored together Daniel Rivera 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 202083
2 202142
3 201839
4 202419
5 202014
6 202313
7 201113
8 201410
9 20147
10 20226
11 20146
12 20113
13 20243
14 20253
15 20252
16 20241
17 20241
18 20141
19 20191
20 20211

About Daniel Rivera

Daniel Rivera is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Molecular Biology, Genetics and Biomaterials, having authored 24 papers that have together received 270 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (6 papers), Glioma Diagnosis and Treatment (5 papers), Photodynamic Therapy Research Studies (4 papers), Ultrasound and Hyperthermia Applications (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Advanced MRI Techniques and Applications (2 papers), Cancer Research and Treatment (2 papers) and Biological Research and Disease Studies (2 papers). The work is most often cited by research in Biomaterials (59 citations), Biomedical Engineering (111 citations), Genetics (18 citations), Biophysics (9 citations) and Nutrition and Dietetics (22 citations). Daniel Rivera has collaborated with scholars based in United States, Puerto Rico and Spain. Frequent co-authors include Alexandros Bouras, Costas G. Hadjipanayis, Joe Gerald Jesu Raj, Dominique Bozec, Georgios P. Skandalakis, Andrea Gianotti, Lidia Tomás‐Cobos, Małgorzata Anita Bryszewska, Danielle Laure Taneyo Saa and Valeria Mancino. Their work appears in journals such as The FASEB Journal, Neurosurgery, Neuro-Oncology, Scientific Reports and Journal of Neuro-Oncology.

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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