Frances Tong

4.4k total citations
8 papers, 530 citations indexed

About

Frances Tong is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Frances Tong has authored 8 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Frances Tong's work include Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer Cells and Metastasis (3 papers). Frances Tong is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer Cells and Metastasis (3 papers). Frances Tong collaborates with scholars based in United States, Canada and Japan. Frances Tong's co-authors include Teiichi Furuichi, Miwako Iwai, Susanna Talarico, Mitsuhiko Ikura, Fumio Yoshikawa, Ivan Bosanac, Takayuki Michikawa, Katsuhiko Mikoshiba, Tapas K. Mal and Kit I. Tong and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Frances Tong

8 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frances Tong United States	7	396	77	74	68	64	8	530
Laura Kallay United States	14	371 0.9×	165 2.1×	22 0.3×	40 0.6×	45 0.7×	17	606
Melinda D. Hains United States	8	493 1.2×	106 1.4×	37 0.5×	51 0.8×	115 1.8×	9	622
Jonathan Woodsmith Germany	12	496 1.3×	105 1.4×	107 1.4×	85 1.3×	25 0.4×	22	645
Yelena Dayn United States	6	647 1.6×	44 0.6×	288 3.9×	72 1.1×	39 0.6×	6	808
Valérie Lagrée France	13	377 1.0×	70 0.9×	47 0.6×	35 0.5×	15 0.2×	17	464
Diego Ploper Argentina	12	411 1.0×	152 2.0×	37 0.5×	49 0.7×	58 0.9×	21	650
John Crutchley United States	14	921 2.3×	149 1.9×	36 0.5×	70 1.0×	43 0.7×	18	1.1k
Hana Cho South Korea	20	1.1k 2.8×	75 1.0×	65 0.9×	59 0.9×	90 1.4×	35	1.3k
Tom Henley United States	8	370 0.9×	30 0.4×	95 1.3×	33 0.5×	51 0.8×	11	536
Fátima Verı́ssimo Germany	10	571 1.4×	241 3.1×	36 0.5×	31 0.5×	30 0.5×	13	793

Countries citing papers authored by Frances Tong

Since Specialization

Citations

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

Fields of papers citing papers by Frances Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frances Tong

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

All Works

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8 of 8 papers shown

Tong, Frances, et al.. (2020). High accuracy gene expression profiling of sorted cell subpopulations from breast cancer PDX model tissue. PLoS ONE. 15(9). e0238594–e0238594. 4 indexed citations

Black, Taylor A., Maureen DeMarshall, Stephanie S. Yee, et al.. (2019). Flow based single cell analysis of the immune landscape distinguishes Barrett’s esophagus from adjacent normal tissue. Oncotarget. 10(38). 3592–3604. 8 indexed citations

Bhagwat, Neha, Keely Dulmage, Charles H. Pletcher, et al.. (2018). An integrated flow cytometry-based platform for isolation and molecular characterization of circulating tumor single cells and clusters. Scientific Reports. 8(1). 5035–5035. 59 indexed citations

Tong, Frances, et al.. (2016). Immunophenotyping and Transcriptomic Outcomes in PDX-Derived TNBC Tissue. Molecular Cancer Research. 15(4). 429–438. 9 indexed citations

Tong, Frances, Sue Chow, & David W. Hedley. (2006). Pharmacodynamic monitoring of BAY 43‐9006 (Sorafenib) in phase I clinical trials involving solid tumor and AML/MDS patients, using flow cytometry to monitor activation of the ERK pathway in peripheral blood cells. Cytometry Part B Clinical Cytometry. 70B(3). 107–114. 38 indexed citations

Yee, Karen, Susan Moore, Brent W. Zanke, et al.. (2003). NKIAMRE, a novel conserved CDC2-related kinase with features of both mitogen-activated protein kinases and cyclin-dependent kinases. Biochemical and Biophysical Research Communications. 308(4). 784–792. 21 indexed citations

Allen, Elena A., Steve Horvath, Frances Tong, et al.. (2003). High concentrations of long interspersed nuclear element sequence distinguish monoallelically expressed genes. Proceedings of the National Academy of Sciences. 100(17). 9940–9945. 116 indexed citations

Bosanac, Ivan, Tapas K. Mal, Jenny Chan, et al.. (2002). Structure of the inositol 1,4,5-trisphosphate receptor binding core in complex with its ligand. Nature. 420(6916). 696–700. 275 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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