Helen Jankowski

448 total citations
9 papers, 360 citations indexed

About

Helen Jankowski is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Helen Jankowski has authored 9 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Helen Jankowski's work include Extracellular vesicles in disease (3 papers), Cell Adhesion Molecules Research (3 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). Helen Jankowski is often cited by papers focused on Extracellular vesicles in disease (3 papers), Cell Adhesion Molecules Research (3 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). Helen Jankowski collaborates with scholars based in Australia, United States and Denmark. Helen Jankowski's co-authors include Christopher J. Scarlett, Judith Weidenhofer, Danielle R. Bond, Joshua S. Brzozowski, Kathryn A. Skelding, Chloé Goldsmith, Costas E. Stathopoulos, Paul D. Roach, Crystal Naudin and Belinda J. Goldie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Helen Jankowski

9 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helen Jankowski Australia 7 251 112 54 40 35 9 360
Ann‐Marie Simeone United States 11 208 0.8× 96 0.9× 27 0.5× 12 0.3× 20 0.6× 13 399
Daria Zdżalik-Bielecka Poland 11 310 1.2× 64 0.6× 35 0.6× 11 0.3× 22 0.6× 13 517
Changyu Shan China 9 334 1.3× 121 1.1× 61 1.1× 7 0.2× 5 0.1× 15 508
Timothy Marlowe United States 10 241 1.0× 70 0.6× 24 0.4× 89 2.2× 6 0.2× 14 373
Hirotada Takahashi Japan 8 189 0.8× 68 0.6× 177 3.3× 10 0.3× 7 0.2× 8 477
Jianying Luo China 15 282 1.1× 55 0.5× 83 1.5× 11 0.3× 4 0.1× 31 517
Udayan Dutta United States 12 135 0.5× 24 0.2× 33 0.6× 33 0.8× 7 0.2× 14 373
Chee Onn Leong Malaysia 5 236 0.9× 90 0.8× 56 1.0× 6 0.1× 4 0.1× 8 416
LeAnn C. Rogers United States 9 264 1.1× 52 0.5× 14 0.3× 16 0.4× 4 0.1× 11 388
Tobias Hahn United States 13 277 1.1× 70 0.6× 41 0.8× 5 0.1× 93 2.7× 20 510

Countries citing papers authored by Helen Jankowski

Since Specialization
Citations

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

Fields of papers citing papers by Helen Jankowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Jankowski

This figure shows the co-authorship network connecting the top 25 collaborators of Helen Jankowski. A scholar is included among the top collaborators of Helen Jankowski 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 Jankowski. Helen Jankowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Jankowski, Helen, et al.. (2023). Isolation and substrate dependence on extracellular vesicle characterisation using atomic force microscopy. SHILAP Revista de lepidopterología. 4(3). 35003–35003. 2 indexed citations
2.
Bond, Danielle R., Joshua S. Brzozowski, Helen Jankowski, et al.. (2020). Tetraspanin CD9 is Regulated by miR-518f-5p and Functions in Breast Cell Migration and In Vivo Tumor Growth. Cancers. 12(4). 795–795. 15 indexed citations
3.
4.
Brzozowski, Joshua S., Helen Jankowski, Danielle R. Bond, et al.. (2018). Lipidomic profiling of extracellular vesicles derived from prostate and prostate cancer cell lines. Lipids in Health and Disease. 17(1). 211–211. 120 indexed citations
5.
Brzozowski, Joshua S., Danielle R. Bond, Helen Jankowski, et al.. (2018). Extracellular vesicles with altered tetraspanin CD9 and CD151 levels confer increased prostate cell motility and invasion. Scientific Reports. 8(1). 8822–8822. 64 indexed citations
6.
Goldsmith, Chloé, Danielle R. Bond, Helen Jankowski, et al.. (2018). The Olive Biophenols Oleuropein and Hydroxytyrosol Selectively Reduce Proliferation, Influence the Cell Cycle, and Induce Apoptosis in Pancreatic Cancer Cells. International Journal of Molecular Sciences. 19(7). 1937–1937. 94 indexed citations
7.
Bond, Danielle R., Crystal Naudin, Adam P. Carroll, et al.. (2017). miR-518f-5p decreases tetraspanin CD9 protein levels and differentially affects non-tumourigenic prostate and prostate cancer cell migration and adhesion. Oncotarget. 9(2). 1980–1991. 6 indexed citations
8.
Evans, Hamish M., et al.. (2016). Phosphorylation of calcium/calmodulin-stimulated protein kinase II at T286 enhances invasion and migration of human breast cancer cells. Scientific Reports. 6(1). 33132–33132. 48 indexed citations
9.
Jankowski, Helen, et al.. (1987). Self-Administered Medications For Obstetric Patients. MCN The American Journal of Maternal/Child Nursing. 12(3). 199–203. 4 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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