Tina X. Chen

1.4k total citations
10 papers, 1000 citations indexed

About

Tina X. Chen is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Tina X. Chen has authored 10 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Genetics. Recurrent topics in Tina X. Chen's work include RNA and protein synthesis mechanisms (4 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer therapeutics and mechanisms (2 papers). Tina X. Chen is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer therapeutics and mechanisms (2 papers). Tina X. Chen collaborates with scholars based in United States and Vietnam. Tina X. Chen's co-authors include Tyson A. Clark, John E. Blume, Anthony Schweitzer, R. Stephanie Huang, Shiwei Duan, Nancy J. Cox, M. Eileen Dolan, Emily O. Kistner, Wasim K. Bleibel and Alan J. Williams and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Genome Research.

In The Last Decade

Tina X. Chen

9 papers receiving 988 citations

Peers

Tina X. Chen

MB

GENET

CR

ONCOL

PHARM

Wasim K. Bleibel United States

Jonathan Cairns United Kingdom

Ruslan Sharipov Russia

Elizaveta V. Benevolenskaya United States

Iset Vera United States

Elisa Frullanti Italy

Ahmed Dahmani France

Hongye Liu United States

Matan Golan Israel

Igor Cima Switzerland

Wasim K. Bleibel United States

Tina X. Chen

651 ×0.9

MB

310 ×1.2

GENET

282 ×1.1

CR

144 ×1.2

ONCOL

80 ×1.4

PHARM

Citations per year, relative to Tina X. Chen Tina X. Chen (= 1×) peers Wasim K. Bleibel

Countries citing papers authored by Tina X. Chen

Since Specialization

Citations

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

Fields of papers citing papers by Tina X. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tina X. Chen. 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 Tina X. Chen. The network helps show where Tina X. Chen may publish in the future.

Co-authorship network of co-authors of Tina X. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tina X. Chen. A scholar is included among the top collaborators of Tina X. Chen 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 Tina X. Chen. Tina X. Chen 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

1.

Chen, Tina X., et al.. (2026). Assessment of dispersion metrics for estimating single-cell transcriptional variability. PLoS Computational Biology. 22(3). e1014030–e1014030.

2.

Pellegrino, Maurizio, Adam Sciambi, Sebastian Treusch, et al.. (2018). High-throughput single-cell DNA sequencing of acute myeloid leukemia tumors with droplet microfluidics. Genome Research. 28(9). 1345–1352. 148 indexed citations

3.

Eastburn, Dennis J., Maurizio Pellegrino, Adam Sciambi, et al.. (2018). Abstract 5348: Single-cell analysis of mutational heterogeneity in acute myeloid leukemia tumors with high-throughput droplet microfluidics. Cancer Research. 78(13_Supplement). 5348–5348. 4 indexed citations

4.

Zhang, Wei, Shiwei Duan, Emily O. Kistner, et al.. (2008). Evaluation of Genetic Variation Contributing to Differences in Gene Expression between Populations. The American Journal of Human Genetics. 82(5). 1223–1223. 5 indexed citations

5.

Zhang, Wei, Shiwei Duan, Emily O. Kistner, et al.. (2008). Evaluation of Genetic Variation Contributing to Differences in Gene Expression between Populations. The American Journal of Human Genetics. 82(3). 631–640. 165 indexed citations

6.

Zhang, Wei, Shiwei Duan, Wasim K. Bleibel, et al.. (2008). Identification of common genetic variants that account for transcript isoform variation between human populations. Human Genetics. 125(1). 81–93. 65 indexed citations

7.

Duan, Shiwei, R. Stephanie Huang, Wei Zhang, et al.. (2008). Genetic Architecture of Transcript-Level Variation in Humans. The American Journal of Human Genetics. 82(5). 1101–1113. 103 indexed citations

8.

Clark, Tyson A., Anthony Schweitzer, Tina X. Chen, et al.. (2007). Discovery of tissue-specific exons using comprehensive human exon microarrays. Genome biology. 8(4). R64–R64. 226 indexed citations

9.

Huang, R. Stephanie, Shiwei Duan, Sunita J. Shukla, et al.. (2007). Identification of Genetic Variants Contributing to Cisplatin-Induced Cytotoxicity by Use of a Genomewide Approach. The American Journal of Human Genetics. 81(3). 427–437. 133 indexed citations

10.

Huang, R. Stephanie, Shiwei Duan, Wasim K. Bleibel, et al.. (2007). A genome-wide approach to identify genetic variants that contribute to etoposide-induced cytotoxicity. Proceedings of the National Academy of Sciences. 104(23). 9758–9763. 151 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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