Lisa Tan

903 total citations
2 papers, 12 citations indexed

About

Lisa Tan is a scholar working on Oncology, Molecular Biology and Neurology. According to data from OpenAlex, Lisa Tan has authored 2 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Oncology, 1 paper in Molecular Biology and 1 paper in Neurology. Recurrent topics in Lisa Tan's work include Neuroblastoma Research and Treatments (1 paper), HER2/EGFR in Cancer Research (1 paper) and Lung Cancer Research Studies (1 paper). Lisa Tan is often cited by papers focused on Neuroblastoma Research and Treatments (1 paper), HER2/EGFR in Cancer Research (1 paper) and Lung Cancer Research Studies (1 paper). Lisa Tan collaborates with scholars based in United States. Lisa Tan's co-authors include Claire K. Mulvey, James P. Grenert, Nancy M. Joseph, Jessica Van Ziffle, Emily K. Bergsland, Trever G. Bivona, Greg M. Allen, Collin M. Blakely, Wei Wu and Matthew A. Gubens and has published in prestigious journals such as Journal of Clinical Oncology and JCO Precision Oncology.

In The Last Decade

Lisa Tan

2 papers receiving 12 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisa Tan United States	2	11	9	4	2	2	2	12
Carolin Sachs United States	3	12 1.1×	9 1.0×	5 1.3×	6 3.0×		4	19
Allison Zheng United States	2	5 0.5×	9 1.0×	6 1.5×	3 1.5×		2	17
Rita Sasidharan New Zealand	2	9 0.8×	5 0.6×		2 1.0×		4	13
Abdolvahab Moradi Iran	3	7 0.6×	9 1.0×	1 0.3×	3 1.5×		7	14
Mianlei Zhang United States	2	10 0.9×	9 1.0×		5 2.5×		2	18
Gabriel Bromiński Poland	4	10 0.9×	8 0.9×	3 0.8×	6 3.0×		7	29
Jason Fong United States	2	6 0.5×	5 0.6×		4 2.0×		2	27
Francisca Morey Spain	2	6 0.5×	4 0.4×		2 1.0×		6	16
Marilyn Wang United States	3	5 0.5×	8 0.9×		3 1.5×		5	20

Countries citing papers authored by Lisa Tan

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Tan

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

All Works

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2 of 2 papers shown

1.

Allen, Greg M., Matthew A. Gubens, Claire K. Mulvey, et al.. (2024). A phase I/Ib study of the aurora kinase A inhibitor alisertib in combination with osimertinib in advanced osimertinib-resistant EGFR-mutated lung cancer.. Journal of Clinical Oncology. 42(16_suppl). 8572–8572. 3 indexed citations

2.

Grenert, James P., Lisa Tan, Jessica Van Ziffle, et al.. (2022). Checkpoint Inhibitor Immunotherapy to Treat Temozolomide-Associated Hypermutation in Advanced Atypical Carcinoid Tumor of the Lung. JCO Precision Oncology. 6(6). e2200009–e2200009. 9 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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