Lisa Ta

8 papers receiving 276 citations

Peers

Lisa Ta
Comparison fields: 5 of 57
  • Genetics 56
  • Cancer Research 60
  • Oncology 93
  • Cell Biology 31
  • Radiology, Nuclear Medicine and Imaging 31
Replace Billy Samuel Hill with:
Billy Samuel Hill Italy
Christina Schug Germany
Sa-Hoe Lim South Korea
Federica Barbaglio Italy
Valentina Robila United States
Que Thanh Thanh Nguyen South Korea
Diahnn Futalan United States
Gergő Kiszner Hungary
Roshan Mahabir United States
Justin Wang United States
Lisa Ta relative to Billy Samuel Hill Italy Billy Samuel Hill's profile →
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Citations per year

Countries citing papers authored by Lisa Ta

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Ta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lisa Ta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lisa Ta Line = papers co-authored together Lisa Ta links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201785
2 201776
3 201442
4 202335
5 201822
6 201612
7 20155
8 20184
9 20230
10 20220

About Lisa Ta

Lisa Ta is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 281 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Medical Imaging Techniques and Applications (2 papers), 3D Printing in Biomedical Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Nanowire Synthesis and Applications (1 paper), NF-κB Signaling Pathways (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Genetics (56 citations), Cancer Research (60 citations), Oncology (93 citations), Cell Biology (31 citations) and Radiology, Nuclear Medicine and Imaging (31 citations). Lisa Ta has collaborated with scholars based in United States and Germany. Frequent co-authors include David A. Nathanson, Ken Herrmann, Johannes Czernin, Christopher M. Walthers, Weikun Xiao, Stephanie K. Seidlits, Alireza Sohrabi, Jesse Liang, Arshia Ehsanipour and Rongyu Zhang. Their work appears in journals such as Molecular Cancer Therapeutics, Nature Medicine, Journal of Nuclear Medicine, Proceedings of the National Academy of Sciences and iScience.

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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