Julia A. Ju

1.4k total citations
24 papers, 1.0k citations indexed

About

Julia A. Ju is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Julia A. Ju has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 10 papers in Molecular Biology and 10 papers in Cancer Research. Recurrent topics in Julia A. Ju's work include Cancer Cells and Metastasis (9 papers), Cancer, Hypoxia, and Metabolism (4 papers) and 3D Printing in Biomedical Research (4 papers). Julia A. Ju is often cited by papers focused on Cancer Cells and Metastasis (9 papers), Cancer, Hypoxia, and Metabolism (4 papers) and 3D Printing in Biomedical Research (4 papers). Julia A. Ju collaborates with scholars based in United States, United Kingdom and France. Julia A. Ju's co-authors include Daniele M. Gilkes, Simon P. Robins, Saeid M. Seyedin, Henning W. Woitge, Markus J. Seibel, Inês Godet, Yu Jung Shin, Guannan Wang, Hasini Jayatilaka and Pei-Hsun Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Julia A. Ju

23 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia A. Ju United States 14 463 364 251 188 143 24 1.0k
Yisheng Wang China 25 868 1.9× 306 0.8× 400 1.6× 423 2.3× 75 0.5× 71 1.6k
Apurva K. Srivastava United States 18 618 1.3× 188 0.5× 153 0.6× 119 0.6× 62 0.4× 50 1.0k
John K. Sullivan United States 12 531 1.1× 329 0.9× 75 0.3× 161 0.9× 62 0.4× 18 974
Rachelle J. Sells Galvin United States 21 1.1k 2.4× 697 1.9× 133 0.5× 278 1.5× 72 0.5× 30 1.6k
Yalei Wu United States 15 780 1.7× 199 0.5× 193 0.8× 56 0.3× 80 0.6× 19 1.1k
Sheng‐Hui Lan Taiwan 19 562 1.2× 143 0.4× 289 1.2× 78 0.4× 51 0.4× 38 1.0k
Octavio Caba Spain 19 436 0.9× 253 0.7× 157 0.6× 25 0.1× 106 0.7× 52 946
Jeremy N. Bradbeer United Kingdom 17 799 1.7× 541 1.5× 185 0.7× 343 1.8× 38 0.3× 26 1.4k
Silvia Lemma Italy 15 472 1.0× 204 0.6× 222 0.9× 51 0.3× 93 0.7× 20 802
Anna Goussia Greece 20 319 0.7× 202 0.6× 133 0.5× 40 0.2× 34 0.2× 81 1.1k

Countries citing papers authored by Julia A. Ju

Since Specialization
Citations

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

Fields of papers citing papers by Julia A. Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia A. Ju. 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 Julia A. Ju. The network helps show where Julia A. Ju may publish in the future.

Co-authorship network of co-authors of Julia A. Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Julia A. Ju. A scholar is included among the top collaborators of Julia A. Ju 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 Julia A. Ju. Julia A. Ju 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.
Pratt, Stephen J. P., Keyata N. Thompson, Rachel Lee, et al.. (2025). Disruption of P2Y2 Signaling Promotes Breast Tumor Cell Dissemination by Reducing ATP-Dependent Calcium Elevation and Actin Localization to Cell Junctions. International Journal of Molecular Sciences. 26(9). 4286–4286.
2.
Ju, Julia A., et al.. (2024). Tubulin‐Based Microtentacles Aid in Heterotypic Clustering of Neutrophil‐Differentiated HL‐60 Cells and Breast Tumor Cells. Advanced Science. 12(6). e2409260–e2409260. 3 indexed citations
3.
Thompson, Keyata N., Stephen J. P. Pratt, Julia A. Ju, et al.. (2023). Elevation of Cytoplasmic Calcium Suppresses Microtentacle Formation and Function in Breast Tumor Cells. Cancers. 15(3). 884–884. 3 indexed citations
4.
Ju, Julia A., Athina Christopoulou, Vassilis Georgoulias, et al.. (2023). Functional Analysis of Viable Circulating Tumor Cells from Triple-Negative Breast Cancer Patients Using TetherChip Technology. Cells. 12(15). 1940–1940. 5 indexed citations
5.
Ju, Julia A., et al.. (2023). Hydrogen Peroxide Induces α-Tubulin Detyrosination and Acetylation and Impacts Breast Cancer Metastatic Phenotypes. Cells. 12(9). 1266–1266. 5 indexed citations
6.
Thompson, Keyata N., Julia A. Ju, Stephen J. P. Pratt, et al.. (2022). Microtubule disruption reduces metastasis more effectively than primary tumor growth. Breast Cancer Research. 24(1). 13–13. 21 indexed citations
7.
8.
Bailey, Patrick C., Rebecca A. Whipple, Christopher M. Jewell, et al.. (2021). Lipid tethering of breast tumor cells reduces cell aggregation during mammosphere formation. Scientific Reports. 11(1). 3214–3214. 27 indexed citations
9.
Yu, Justine, et al.. (2020). Long Noncoding RNA DANCR Activates Wnt/β-Catenin Signaling through MiR-216a Inhibition in Non-Small Cell Lung Cancer. Biomolecules. 10(12). 1646–1646. 29 indexed citations
10.
Pratt, Stephen J. P., Rachel Lee, Erick O. Hernández‐Ochoa, et al.. (2020). Mechanoactivation of NOX2-generated ROS elicits persistent TRPM8 Ca 2+ signals that are inhibited by oncogenic KRas. Proceedings of the National Academy of Sciences. 117(42). 26008–26019. 26 indexed citations
11.
Godet, Inês, et al.. (2019). Fate-mapping post-hypoxic tumor cells reveals a ROS-resistant phenotype that promotes metastasis. Nature Communications. 10(1). 4862–4862. 186 indexed citations
12.
Ju, Julia A., et al.. (2019). RhoB is regulated by hypoxia and modulates metastasis in breast cancer. Cancer Reports. 3(1). e1164–e1164. 20 indexed citations
13.
Belcher, Donald A., Julia A. Ju, Jin Hyen Baek, et al.. (2018). The quaternary state of polymerized human hemoglobin regulates oxygenation of breast cancer solid tumors: A theoretical and experimental study. PLoS ONE. 13(2). e0191275–e0191275. 30 indexed citations
14.
Ju, Julia A. & Daniele M. Gilkes. (2018). RhoB: Team Oncogene or Team Tumor Suppressor?. Genes. 9(2). 67–67. 46 indexed citations
15.
Ju, Julia A., Inês Godet, Hasini Jayatilaka, et al.. (2017). Hypoxia Selectively Enhances Integrin α5β1 Receptor Expression in Breast Cancer to Promote Metastasis. Molecular Cancer Research. 15(6). 723–734. 101 indexed citations
16.
Jayatilaka, Hasini, Jonathan J. Chen, Minsuk Kwak, et al.. (2017). Synergistic IL-6 and IL-8 paracrine signalling pathway infers a strategy to inhibit tumour cell migration. Nature Communications. 8(1). 15584–15584. 128 indexed citations
17.
Williams, Kim E., et al.. (2008). Novel strategies for increased copy number and expression of recombinant human gelatin in Pichia pastoris with two antibiotic markers. Enzyme and Microbial Technology. 43(1). 31–34. 9 indexed citations
18.
Olsen, David R., Robert C. Chang, Robert J. Duffy, et al.. (2005). Expression and characterization of a low molecular weight recombinant human gelatin: development of a substitute for animal-derived gelatin with superior features. Protein Expression and Purification. 40(2). 346–357. 39 indexed citations
19.
Ju, Julia A., et al.. (1999). Changes in Bone Resorption During the Menstrual Cycle. Journal of Bone and Mineral Research. 14(4). 609–615. 54 indexed citations
20.
Brady, Jeffrey D., Julia A. Ju, & Simon P. Robins. (1999). Isoaspartyl bond formation within N-terminal sequences of collagen type I: implications for their use as markers of collagen degradation. Clinical Science. 96(2). 209–215. 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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