Edina C. Wang

1.3k citations
23 papers · 970 · h-index 11

Impact in

Papers in

    • PARP inhibition in cancer therapy 2
    • Lung Cancer Research Studies 2
    • Prostate Cancer Diagnosis and Treatment 3
    • Prostate Cancer Treatment and Research 3
    • Brain Metastases and Treatment 2

Edina C. Wang

21 papers receiving 951 citations

Peers

Edina C. Wang
Comparison fields: 5 of 117
  • Biomaterials 395
  • Pharmaceutical Science 66
  • Biomedical Engineering 424
  • Oncology 159
  • Molecular Medicine 23
Replace Katayoun Saatchi with:
Katayoun Saatchi Canada
Enrique Morales-Ávila Mexico
Andrew S. Mikhail United States
Maxime Henry France
Xiaoxue Xie China
Shrirang Karve United States
Jan‐Niklas May Germany
Xinghai Li United States
Samar El Achy Egypt
Zachary H. Houston Australia
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Citations per field
00.5×3.6×
Katayoun Saatchi · 1×
Citations per year

Countries citing papers authored by Edina C. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Edina C. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edina C. Wang. 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 Edina C. Wang. The network helps show where Edina C. Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013277
2 2013194
3 2012106
4 201477
5 201767
6 201563
7 201536
8 201336
9 201530
10 202020
11 201114
12 20138
13 20217
14 20217
15 20176
16 20176
17 20224
18 20224
19 20224
20 20113

About Edina C. Wang

Edina C. Wang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Biomaterials and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 970 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (7 papers), RNA Interference and Gene Delivery (6 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Prostate Cancer Treatment and Research (3 papers), PARP inhibition in cancer therapy (2 papers), Effects of Radiation Exposure (2 papers), Lung Cancer Research Studies (2 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Biomaterials (395 citations), Pharmaceutical Science (66 citations), Biomedical Engineering (424 citations), Oncology (159 citations) and Molecular Medicine (23 citations). Edina C. Wang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Andrew Z. Wang, Manish Sethi, Michael E. Werner, Rohit Sukumar, Natalie D. Cummings, Dominic T. Moore, Shrirang Karve, Mahesh Devarasetty, Shay Söker and Aleksander Skardal. Their work appears in journals such as Nanoscale, Journal of Visualized Experiments, Frontiers in Oncology, Advances in Radiation Oncology and International Journal of Radiation Oncology*Biology*Physics.

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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