Berwini Endaya

1.9k total citations
10 papers, 237 citations indexed

About

Berwini Endaya is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Berwini Endaya has authored 10 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Berwini Endaya's work include Cancer, Hypoxia, and Metabolism (3 papers), CAR-T cell therapy research (2 papers) and MicroRNA in disease regulation (2 papers). Berwini Endaya is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), CAR-T cell therapy research (2 papers) and MicroRNA in disease regulation (2 papers). Berwini Endaya collaborates with scholars based in Australia, Singapore and Czechia. Berwini Endaya's co-authors include Paula Yeng Po Lam, Kam M. Hui, Ivy A. W. Ho, Jennifer P. Newman, Wai Hoe Ng, Hung Huynh, Alexander Yaw Fui Chung, Massimiliano Gnecchi, N. Gopalakrishna Iyer and Hui Sun Leong and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Genome biology.

In The Last Decade

Berwini Endaya

10 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Berwini Endaya Australia 7 113 85 62 60 60 10 237
Malachia Hoover United States 8 138 1.2× 78 0.9× 51 0.8× 39 0.7× 50 0.8× 10 254
Noriyuki Kijima Japan 9 119 1.1× 88 1.0× 123 2.0× 61 1.0× 36 0.6× 40 295
Rebecca H. Horton United Kingdom 4 182 1.6× 46 0.5× 43 0.7× 50 0.8× 65 1.1× 8 295
Romy Loschinski Germany 9 113 1.0× 115 1.4× 64 1.0× 183 3.0× 50 0.8× 14 317
Valentina Robila United States 10 153 1.4× 129 1.5× 38 0.6× 141 2.4× 64 1.1× 25 359
Leonard Frisbie United States 8 138 1.2× 143 1.7× 71 1.1× 55 0.9× 105 1.8× 10 298
Valeria Solozobova Germany 7 271 2.4× 106 1.2× 24 0.4× 43 0.7× 56 0.9× 9 338
Chih‐Ming Pan Taiwan 10 139 1.2× 171 2.0× 34 0.5× 115 1.9× 68 1.1× 16 316
Sachi Maeda Japan 9 91 0.8× 43 0.5× 68 1.1× 24 0.4× 50 0.8× 25 186
Hinda Najem United States 10 92 0.8× 61 0.7× 76 1.2× 112 1.9× 39 0.7× 23 244

Countries citing papers authored by Berwini Endaya

Since Specialization
Citations

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

Fields of papers citing papers by Berwini Endaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Berwini Endaya

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

All Works

10 of 10 papers shown
1.
Šindelka, Radek, Pavel Abaffy, Daniel Žucha, et al.. (2024). Characterization of regeneration initiating cells during Xenopus laevis tail regeneration. Genome biology. 25(1). 251–251. 4 indexed citations
2.
Oh, Sehyun, Han Sun Kim, Berwini Endaya, et al.. (2023). Chemical Biopsy for GNMT as Noninvasive and Tumorigenesis-Relevant Diagnosis of Liver Cancer. Analytical Chemistry. 95(2). 1184–1192. 3 indexed citations
3.
Newman, Jennifer P., Grace Wang, Kazuhiko Arima, et al.. (2017). Interleukin-13 receptor alpha 2 cooperates with EGFRvIII signaling to promote glioblastoma multiforme. Nature Communications. 8(1). 1913–1913. 71 indexed citations
4.
Endaya, Berwini, Shou Ping Guan, Jennifer P. Newman, et al.. (2017). Human mesenchymal stem cells preferentially migrate toward highly oncogenic human hepatocellular carcinoma cells with activated EpCAM signaling. Oncotarget. 8(33). 54629–54639. 15 indexed citations
5.
Endaya, Berwini, Paula Yeng Po Lam, Adrian Cuda Banda Meedeniya, & Jiřı́ Neužil. (2015). Transcriptional profiling of dividing tumor cells detects intratumor heterogeneity linked to cell proliferation in a brain tumor model. Molecular Oncology. 10(1). 126–137. 11 indexed citations
6.
Ho, Ivy A. W., Jennifer P. Newman, Berwini Endaya, et al.. (2015). Paracrine Factors of Human Fetal MSCs Inhibit Liver Cancer Growth Through Reduced Activation of IGF-1R/PI3K/Akt Signaling. Molecular Therapy. 23(4). 746–756. 69 indexed citations
7.
Endaya, Berwini, Brenton Cavanagh, Tom Walker, et al.. (2015). Isolating dividing neural and brain tumour cells for gene expression profiling. Journal of Neuroscience Methods. 257. 121–133. 4 indexed citations
10.
Kato, Chie, Etsuko Fujii, Berwini Endaya, et al.. (2009). Spontaneous thymic lymphomas in the non-obese diabetic/Shi-scid, IL-2Rγnull mouse. Laboratory Animals. 43(4). 402–404. 22 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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