Melissa Cadena

653 citations
16 papers · 485 · h-index 7

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • 3D Printing in Biomedical Research
    • Nanoplatforms for cancer theranostics
    • Graphene and Nanomaterials Applications

Papers in

    • 3D Printing in Biomedical Research 6
    • Photoacoustic and Ultrasonic Imaging 3
    • Nanoplatforms for cancer theranostics 3
    • Nanoparticle-Based Drug Delivery 2

Melissa Cadena

14 papers receiving 478 citations

Peers

Melissa Cadena
Comparison fields: 5 of 80
  • Biomaterials 135
  • Biomedical Engineering 254
  • Developmental Neuroscience 17
  • Genetics 40
  • Automotive Engineering 36
Replace Wai Hon Chooi with:
Wai Hon Chooi Singapore
Andrew S. Khalil United States
Nitsan Dahan Israel
Jillian W. Andrejecsk United States
Helen Forgham Australia
Amranul Haque United States
Madeline H. Cooper United States
Ashlyn T. Young United States
Christopher Rathnam United States
Jonathan R. Soucy United States
Melissa Cadena relative to Wai Hon Chooi Singapore Wai Hon Chooi's profile →
Citations per field
00.5×1.5×1.9×
Wai Hon Chooi · 1×
Citations per year

Countries citing papers authored by Melissa Cadena

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Cadena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2020240
2 2020115
3 202236
4 202425
5 202020
6 202414
7 20228
8 20237
9 20185
10 20245
11 20194
12 20254
13 20251
14 20251
15 20230
16 20250

About Melissa Cadena

Melissa Cadena is a scholar working on Biomedical Engineering, Biomaterials, Cell Biology, Molecular Biology and Biophysics, having authored 16 papers that have together received 485 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (6 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Nanoplatforms for cancer theranostics (3 papers), Pluripotent Stem Cells Research (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Extracellular vesicles in disease (2 papers), Reservoir Engineering and Simulation Methods (1 paper) and Atmospheric chemistry and aerosols (1 paper). The work is most often cited by research in Biomaterials (135 citations), Biomedical Engineering (254 citations), Developmental Neuroscience (17 citations), Genetics (40 citations) and Automotive Engineering (36 citations). Melissa Cadena has collaborated with scholars based in United States and Colombia. Frequent co-authors include Joerg Lahann, Jason V. Gregory, Padma Kadiyala, Pedro Ricardo Lowenstein, Robert E. Doherty, Maria Graciela Castro, Erkki Ruoslahti, Vahid Serpooshan, Boeun Hwang and Liqun Ning. Their work appears in journals such as Advanced Healthcare Materials, ACS Catalysis, Advanced Functional Materials, Theranostics and Advanced Science.

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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