Jasmine Goh

779 total citations
10 papers, 284 citations indexed

About

Jasmine Goh is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jasmine Goh has authored 10 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jasmine Goh's work include Retinal Imaging and Analysis (2 papers), FOXO transcription factor regulation (2 papers) and Medical Image Segmentation Techniques (2 papers). Jasmine Goh is often cited by papers focused on Retinal Imaging and Analysis (2 papers), FOXO transcription factor regulation (2 papers) and Medical Image Segmentation Techniques (2 papers). Jasmine Goh collaborates with scholars based in Singapore, United Kingdom and Japan. Jasmine Goh's co-authors include Nick Barker, Swathi Yada, Si Hui Tan, Esther Wong, Angeline M.L. Wong, Marc Leushacke, Kazuhiro Murakami, Simon Denil, Edward Kai‐Hua Chow and Jhin Jieh Lim and has published in prestigious journals such as Blood, Nature Cell Biology and Cancer Research.

In The Last Decade

Jasmine Goh

9 papers receiving 283 citations

Peers

Countries citing papers authored by Jasmine Goh

Since Specialization

Citations

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

Fields of papers citing papers by Jasmine Goh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasmine Goh

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	ATR Inhibition and Replication Stress Converge on a BCL6-Mediated Reversal of the Dark Zone Signature in DLBCL 2024 ·Blood ·(unknown), (unknown), Patrick Jaynes, Nayana Prabhu, (unknown), (unknown), Tze King Tan, Jasmine Goh, Marco Foiani, Takaomi Sanda, Wai Leong Tam, Mark J. O’Connor, Edward Kai‐Hua Chow, Anand D. Jeyasekharan	0
2	Abstract B023: Personalized phenotypic ex vivo drug sensitivity platform identifies frequent HDAC inhibitor-based combination sensitivities in T-cell lymphomas 2022 ·Cancer Research ·Jasmine Goh, Sanjay De Mel, Masturah Bte Mohd Abdul Rashid, Anand D. Jeyasekharan, Edward Kai‐Hua Chow	1
3	A constant pool of Lgr5+ intestinal stem cells is required for intestinal homeostasis 2021 ·Cell Reports ·Si Hui Tan, (unknown), (unknown), Swathi Yada, Jasmine Goh, (unknown), (unknown), Esther Wong, Bernett Lee, Nick Barker	38
4	Whole-genome sequencing reveals potent therapeutic strategy for monomorphic epitheliotropic intestinal T-cell lymphoma 2020 ·Blood Advances ·Dachuan Huang, Jing Quan Lim, Daryl Ming Zhe Cheah, (unknown), Yurike Laurensia, (unknown), (unknown), Burton Kuan Hui Chia, Jasmine Goh, Xiyun Zhang, Jason Yongsheng Chan, Edward Kai‐Hua Chow, Soo‐Yong Tan, Soon Thye Lim, Choon Kiat Ong	14
5	A Bidirectional 3D-printed Soft Pneumatic Actuator and Graphite-based Flex Sensor for Versatile Grasping 2020 ·Jin-Huat Low, Jasmine Goh, Nicholas Cheng, Phone May Khin, (unknown), Chen‐Hua Yeow	9
6	Maximizing Efficiency of Artificial Intelligence‐Driven Drug Combination Optimization through Minimal Resolution Experimental Design 2019 ·Advanced Therapeutics ·Jhin Jieh Lim, Jasmine Goh, Masturah Bte Mohd Abdul Rashid, Edward Kai‐Hua Chow	22
7	Lgr5-expressing chief cells drive epithelial regeneration and cancer in the oxyntic stomach 2017 ·Nature Cell Biology ·Marc Leushacke, Si Hui Tan, Angeline M.L. Wong, Swathi Yada, (unknown), (unknown), Jasmine Goh, Esther Wong, Simon Denil, Kazuhiro Murakami, Nick Barker	193
8	Fabrication of ultrahigh density metal–cell–metal crossbar memory devices with only two cycles of lithography and dry-etch procedures 2013 ·Nanotechnology ·B. Y. Zong, Jasmine Goh, Z.B. Guo, P. Luo, Chi‐Chuan Wang, Jinkai Qiu, Pin Ho, Yunjie Chen, Mingsheng Zhang, Gang Han	3
9	Optimal and simultaneous designs of Hermitian transforms and masks for reducing intraclass separations of feature vectors for anomaly detection of diabetic retinopathy images 2012 ·View ·(unknown), Apostolos Georgakis, Bingo Wing‐Kuen Ling, Jasmine Goh, Hongying Tang, Tünde Pető, George M. Saleh	1
10	An evolutionary approach for determining Hidden Markov Model for medical image analysis 2012 ·View ·Jasmine Goh, Hongying Tang, Tünde Pető, George M. Saleh	3

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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