Helen Forgham

785 total citations · 1 hit paper
24 papers, 527 citations indexed

About

Helen Forgham is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Helen Forgham has authored 24 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Biomedical Engineering and 7 papers in Biomaterials. Recurrent topics in Helen Forgham's work include Nanoparticle-Based Drug Delivery (7 papers), Nanoplatforms for cancer theranostics (7 papers) and RNA Interference and Gene Delivery (5 papers). Helen Forgham is often cited by papers focused on Nanoparticle-Based Drug Delivery (7 papers), Nanoplatforms for cancer theranostics (7 papers) and RNA Interference and Gene Delivery (5 papers). Helen Forgham collaborates with scholars based in Australia, China and United Kingdom. Helen Forgham's co-authors include Ruirui Qiao, Thomas P. Davis, Jiayuan Zhu, Xumin Huang, Ibrahim Javed, Ao Shen, Andrew K. Whittaker, Changkui Fu, Li Zhang and Maria Kavallaris and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Helen Forgham

23 papers receiving 518 citations

Hit Papers

Magnetic iron oxide nanop... 2023 2026 2024 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helen Forgham Australia 12 244 170 168 98 45 24 527
Maliheh Gharibshahian Iran 12 236 1.0× 143 0.8× 70 0.4× 129 1.3× 42 0.9× 17 516
Tianyi Kang China 17 444 1.8× 154 0.9× 220 1.3× 207 2.1× 51 1.1× 34 769
Timofey E. Karpov Russia 14 295 1.2× 196 1.2× 129 0.8× 72 0.7× 17 0.4× 21 559
Hojjatollah Nazari Iran 16 431 1.8× 359 2.1× 167 1.0× 101 1.0× 20 0.4× 30 834
Yandai Lin China 6 445 1.8× 217 1.3× 139 0.8× 90 0.9× 20 0.4× 16 678
Pengcheng Yuan China 11 320 1.3× 77 0.5× 141 0.8× 152 1.6× 18 0.4× 22 510
Yuwei Liu Hong Kong 12 289 1.2× 193 1.1× 183 1.1× 91 0.9× 23 0.5× 24 575
Artem Shkumatov United States 14 305 1.3× 137 0.8× 222 1.3× 70 0.7× 83 1.8× 28 710
Kholod Alamoudi Saudi Arabia 8 250 1.0× 158 0.9× 320 1.9× 186 1.9× 30 0.7× 9 701
Crystal S. Shin United States 13 368 1.5× 214 1.3× 173 1.0× 64 0.7× 18 0.4× 23 1.0k

Countries citing papers authored by Helen Forgham

Since Specialization
Citations

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

Fields of papers citing papers by Helen Forgham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Forgham

This figure shows the co-authorship network connecting the top 25 collaborators of Helen Forgham. A scholar is included among the top collaborators of Helen Forgham 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 Helen Forgham. Helen Forgham 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
2.
Forgham, Helen, Amandeep Kaur, Ruirui Qiao, et al.. (2025). Amyloid Targeting-Gold Nanoparticles-Assisted X-ray Therapy Rescues Islet β-Cells from Amyloid Fibrils and Restores Insulin Homeostasis. ACS Nano. 19(5). 5460–5474. 4 indexed citations
3.
Forgham, Helen, Qiang Shen, Liwen Zhang, et al.. (2025). Smart Fluorosurfactant‐Assisted Microfluidics Powered On‐Demand Generation and Retrieval of Cell‐Laden Microgels. Advanced Materials Interfaces. 12(12). 2 indexed citations
5.
Forgham, Helen, Jiayuan Zhu, Xumin Huang, et al.. (2024). Multifunctional Fluoropolymer‐Engineered Magnetic Nanoparticles to Facilitate Blood‐Brain Barrier Penetration and Effective Gene Silencing in Medulloblastoma. Advanced Science. 11(25). e2401340–e2401340. 13 indexed citations
6.
Forgham, Helen, Jiayuan Zhu, Ibrahim Javed, et al.. (2023). Vector enabled CRISPR gene editing – A revolutionary strategy for targeting the diversity of brain pathologies. Coordination Chemistry Reviews. 487. 215172–215172. 6 indexed citations
7.
Qiao, Ruirui, Changkui Fu, Helen Forgham, et al.. (2023). Magnetic iron oxide nanoparticles for brain imaging and drug delivery. Advanced Drug Delivery Reviews. 197. 114822–114822. 142 indexed citations breakdown →
8.
Tang, Shi‐Yang, Yang Zhang, Jiayuan Zhu, et al.. (2023). Tailored Fluorosurfactants through Controlled/Living Radical Polymerization for Highly Stable Microfluidic Droplet Generation. Angewandte Chemie International Edition. 63(3). e202315552–e202315552. 11 indexed citations
10.
Tang, Shi‐Yang, Yang Zhang, Jiayuan Zhu, et al.. (2023). Tailored Fluorosurfactants through Controlled/Living Radical Polymerization for Highly Stable Microfluidic Droplet Generation. Angewandte Chemie. 136(3). 2 indexed citations
11.
Lu, Hongda, Shi‐Yang Tang, Jiayuan Zhu, et al.. (2023). Nanoengineering Liquid Metal Core–Shell Nanostructures. Advanced Functional Materials. 34(6). 24 indexed citations
12.
Forgham, Helen, Aleksandr Käkinen, Arunpandian Balaji, et al.. (2023). Alzheimer's Progenitor Amyloid‐β Targets and Dissolves Microbial Amyloids and Impairs Biofilm Function. Advanced Science. 10(29). e2301423–e2301423. 8 indexed citations
13.
Forgham, Helen, Lars Esser, May C. Lai, et al.. (2022). Aerosol delivery of star polymer-siRNA nanoparticles as a therapeutic strategy to inhibit lung tumor growth. Biomaterials. 285. 121539–121539. 33 indexed citations
14.
Zhang, Li, Helen Forgham, Xumin Huang, et al.. (2022). All-in-one inorganic nanoagents for near-infrared-II photothermal-based cancer theranostics. Materials Today Advances. 14. 100226–100226. 39 indexed citations
15.
Forgham, Helen, Aleksandr Käkinen, Ruirui Qiao, & Thomas P. Davis. (2022). Keeping up with the COVID's—Could siRNA‐based antivirals be a part of the answer?. SHILAP Revista de lepidopterología. 2(6). 20220012–20220012. 16 indexed citations
16.
Forgham, Helen, Jiayuan Zhu, Ruirui Qiao, & Thomas P. Davis. (2022). Star Polymer Nanomedicines─Challenges and Future Perspectives. ACS Applied Polymer Materials. 4(10). 6784–6796. 21 indexed citations
17.
Zhang, Liwen, Helen Forgham, Ao Shen, et al.. (2022). Nanomaterial integrated 3D printing for biomedical applications. Journal of Materials Chemistry B. 10(37). 7473–7490. 67 indexed citations
18.
Janjua, Taskeen Iqbal, Aria Ahmed-Cox, Anand Kumar Meka, et al.. (2021). Facile synthesis of lactoferrin conjugated ultra small large pore silica nanoparticles for the treatment of glioblastoma. Nanoscale. 13(40). 16909–16922. 52 indexed citations
19.
Yang, Lu, George Sharbeen, Phoebe A. Phillips, et al.. (2019). Identification of Novel Medulloblastoma Cell-Targeting Peptides for Use in Selective Chemotherapy Drug Delivery. Journal of Medicinal Chemistry. 63(5). 2181–2193. 23 indexed citations
20.
Forgham, Helen, et al.. (2015). Stem Cell Markers in Neuroblastoma—An Emerging Role for LGR5. Frontiers in Cell and Developmental Biology. 3. 77–77. 21 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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