Joy Wolfram

18.6k total citations · 6 hit papers
96 papers, 5.8k citations indexed

About

Joy Wolfram is a scholar working on Molecular Biology, Cancer Research and Biomaterials. According to data from OpenAlex, Joy Wolfram has authored 96 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 27 papers in Cancer Research and 25 papers in Biomaterials. Recurrent topics in Joy Wolfram's work include Extracellular vesicles in disease (34 papers), RNA Interference and Gene Delivery (25 papers) and Nanoparticle-Based Drug Delivery (25 papers). Joy Wolfram is often cited by papers focused on Extracellular vesicles in disease (34 papers), RNA Interference and Gene Delivery (25 papers) and Nanoparticle-Based Drug Delivery (25 papers). Joy Wolfram collaborates with scholars based in United States, China and Australia. Joy Wolfram's co-authors include Mauro Ferrari, Haifa Shen, Sara Busatto, Jianliang Shen, Kenneth W. Witwer, Tony Hu, Yong Yang, Christian Celia, Massimo Fresta and Donatella Paolino and has published in prestigious journals such as Advanced Materials, Nature Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Joy Wolfram

94 papers receiving 5.8k citations

Hit Papers

Clinical cancer nanomedicine 2018 2026 2020 2023 2019 2019 2018 2021 2024 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joy Wolfram United States 46 3.4k 1.6k 1.5k 1.3k 549 96 5.8k
Yuanyu Huang China 49 5.7k 1.6× 2.1k 1.3× 1.4k 0.9× 1.1k 0.9× 783 1.4× 152 8.0k
Ramasamy Paulmurugan United States 53 4.5k 1.3× 2.9k 1.7× 1.0k 0.7× 1.2k 0.9× 629 1.1× 227 8.0k
Tianjiao Ji China 42 3.1k 0.9× 2.7k 1.6× 1.8k 1.2× 1.1k 0.9× 1.0k 1.8× 128 6.7k
Marjo Yliperttula Finland 47 3.5k 1.0× 1.9k 1.2× 1.9k 1.2× 1.1k 0.8× 441 0.8× 149 7.1k
Tore Skotland Norway 44 5.2k 1.5× 1.9k 1.1× 953 0.6× 1.8k 1.5× 1.1k 2.0× 132 8.6k
Ram I. Mahato United States 60 6.1k 1.8× 1.2k 0.8× 1.7k 1.1× 1.4k 1.1× 324 0.6× 198 9.6k
Amir Reza Aref United States 31 2.5k 0.7× 1.8k 1.1× 1.1k 0.7× 1.1k 0.9× 747 1.4× 80 5.5k
Yusuke Sato Japan 47 4.2k 1.2× 1.3k 0.8× 932 0.6× 656 0.5× 289 0.5× 218 6.9k
Motao Zhu China 25 2.3k 0.7× 1.2k 0.7× 827 0.5× 958 0.8× 1.1k 1.9× 46 4.5k
Tuo Wei China 32 4.6k 1.3× 1.9k 1.1× 1.8k 1.2× 304 0.2× 758 1.4× 68 7.1k

Countries citing papers authored by Joy Wolfram

Since Specialization
Citations

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

Fields of papers citing papers by Joy Wolfram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joy Wolfram

This figure shows the co-authorship network connecting the top 25 collaborators of Joy Wolfram. A scholar is included among the top collaborators of Joy Wolfram based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joy Wolfram. Joy Wolfram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Zhengni, et al.. (2025). Electrospun meshes for abdominal wall hernia repair: Potential and challenges. Acta Biomaterialia. 195. 52–72. 1 indexed citations
2.
Troyer, Zach, Олеся Гололобова, Tom A. P. Driedonks, et al.. (2025). Extracellular Vesicles and B Cell Interactions: B-Side Track or Greatest Hit?. ACS Nano. 19(41). 36027–36034.
3.
Gonçalves, Jenifer Pendiuk, et al.. (2025). Lipoprotein Association Fluorometry (LAF) as a Semi‐Quantitative Characterization Tool to Assess Extracellular Vesicle‐Lipoprotein Binding. Journal of Extracellular Vesicles. 14(10). e70172–e70172. 1 indexed citations
4.
Wolfram, Joy, et al.. (2025). Increasing the biomolecular relevance of cell culture practice. Journal of Biomedical Science. 32(1). 3–3. 2 indexed citations
5.
Wang, Jie, Michèle Learmonth, Christopher J. Paradise, et al.. (2025). Extracellular Vesicles as a Promising Strategy for Aging Diabetic Kidney Disease. Cytotherapy. 27(5). S92–S92.
6.
Patel, Hiren P., et al.. (2025). Fortifying the Diabetic Kidney Disease Treatment Armamentarium. Journal of the American Society of Nephrology. 36(8). 1655–1658. 4 indexed citations
7.
Zhang, Jianzhong, et al.. (2024). Immunogenicity of Extracellular Vesicles. Advanced Materials. 36(33). e2403199–e2403199. 110 indexed citations breakdown →
8.
Bian, Xiaohui, Sabena M. Conley, Alfonso Eirin, et al.. (2023). Diabetic kidney disease induces transcriptome alterations associated with angiogenesis activity in human mesenchymal stromal cells. Stem Cell Research & Therapy. 14(1). 49–49. 10 indexed citations
9.
Gonçalves, Jenifer Pendiuk, Sierra A. Walker, Irina Davidovich, et al.. (2023). Glycan Node Analysis Detects Varying Glycosaminoglycan Levels in Melanoma-Derived Extracellular Vesicles. International Journal of Molecular Sciences. 24(10). 8506–8506. 11 indexed citations
10.
Beetler, Danielle J., Geraldine V. Vijay, Irene K. Yan, et al.. (2023). RAB27B Drives a Cancer Stem Cell Phenotype in NSCLC Cells Through Enhanced Extracellular Vesicle Secretion. Cancer Research Communications. 3(4). 607–620. 6 indexed citations
11.
Iannotta, Dalila, et al.. (2023). Transforming undergraduate laboratory courses with interlinked real-world challenges. Trends in biotechnology. 42(1). 1–4. 1 indexed citations
12.
Iannotta, Dalila, Andrew Lai, Soumyalekshmi Nair, et al.. (2023). Chemically‐Induced Lipoprotein Breakdown for Improved Extracellular Vesicle Purification. Small. 20(18). e2307240–e2307240. 9 indexed citations
13.
Iannotta, Dalila, et al.. (2023). Vasculature organotropism in drug delivery. Advanced Drug Delivery Reviews. 201. 115054–115054. 17 indexed citations
14.
Cristiano, Maria Chiara, Christian Celia, Nicola d’Avanzo, et al.. (2022). Injectable Drug Delivery Systems for Osteoarthritis and Rheumatoid Arthritis. ACS Nano. 16(12). 19665–19690. 106 indexed citations breakdown →
15.
Gonçalves, Jenifer Pendiuk, et al.. (2022). The cancer cell-derived extracellular vesicle glycocode in immunoevasion. Trends in Immunology. 43(11). 864–867. 20 indexed citations
16.
Walker, Sierra A., et al.. (2019). Extracellular vesicle-based drug delivery systems for cancer treatment. Theranostics. 9(26). 8001–8017. 350 indexed citations breakdown →
17.
Mu, Chaofeng, Xiaoyan Wu, Joy Wolfram, et al.. (2018). Chemotherapy Sensitizes Therapy-Resistant Cells to Mild Hyperthermia by Suppressing Heat Shock Protein 27 Expression in Triple-Negative Breast Cancer. Clinical Cancer Research. 24(19). 4900–4912. 27 indexed citations
18.
Busatto, Sara, George K. Vilanilam, Taylor Ticer, et al.. (2018). Tangential Flow Filtration for Highly Efficient Concentration of Extracellular Vesicles from Large Volumes of Fluid. Cells. 7(12). 273–273. 346 indexed citations breakdown →
19.
Chen, Zhen, et al.. (2014). The Impact of Lubricants on the Precision Lapping Process. Microscopy and Microanalysis. 20(6). 1708–1714. 1 indexed citations
20.
Wolfram, Joy, et al.. (1990). Pharmacokinetics and metabolism of cyclosporine A in 19 hemodialysis patients.. PubMed. 22(4). 1702–5. 1 indexed citations

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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