Chi-Chao Chen

1.8k total citations
11 papers, 482 citations indexed

About

Chi-Chao Chen is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Chi-Chao Chen has authored 11 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Hematology and 3 papers in Oncology. Recurrent topics in Chi-Chao Chen's work include Acute Myeloid Leukemia Research (6 papers), Cancer-related Molecular Pathways (3 papers) and CRISPR and Genetic Engineering (2 papers). Chi-Chao Chen is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Cancer-related Molecular Pathways (3 papers) and CRISPR and Genetic Engineering (2 papers). Chi-Chao Chen collaborates with scholars based in United States, Germany and Austria. Chi-Chao Chen's co-authors include Scott W. Lowe, Yu-Jui Ho, Francisco J. Sánchez‐Rivera, Myles Fennell, Sha Tian, Timour Baslan, Elisa de Stanchina, Marcus Ruscetti, Hsuan-An Chen and Charles M. Rudin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Chi-Chao Chen

11 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi-Chao Chen United States 8 267 152 124 87 77 11 482
Sara Mainardi Netherlands 8 498 1.9× 201 1.3× 139 1.1× 105 1.2× 141 1.8× 12 658
Valgarður Sigurðsson Sweden 12 279 1.0× 181 1.2× 78 0.6× 37 0.4× 102 1.3× 22 540
Bei Morrison United States 11 399 1.5× 141 0.9× 125 1.0× 81 0.9× 70 0.9× 12 581
Alison Pan United States 6 190 0.7× 196 1.3× 337 2.7× 69 0.8× 59 0.8× 12 561
Mariano F. Zacarías Fluck Spain 8 176 0.7× 236 1.6× 186 1.5× 64 0.7× 87 1.1× 15 463
Constance M. Cultraro United States 14 381 1.4× 166 1.1× 49 0.4× 27 0.3× 65 0.8× 30 510
Barbara Lupo Italy 10 281 1.1× 185 1.2× 82 0.7× 19 0.2× 68 0.9× 20 420
Liliya Tyutyunyk‐Massey United States 10 349 1.3× 170 1.1× 131 1.1× 291 3.3× 105 1.4× 15 623
Dorine Bellanger France 11 330 1.2× 201 1.3× 103 0.8× 17 0.2× 199 2.6× 15 586
T. V. Kalinichenko United States 6 386 1.4× 344 2.3× 150 1.2× 119 1.4× 88 1.1× 7 646

Countries citing papers authored by Chi-Chao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Chao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Chao 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 Chi-Chao Chen. The network helps show where Chi-Chao Chen may publish in the future.

Co-authorship network of co-authors of Chi-Chao Chen

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

All Works

11 of 11 papers shown
1.
Millman, Scott E., Almudena Chaves Perez, Sudha Janaki‐Raman, et al.. (2025). α-Ketoglutarate dehydrogenase is a therapeutic vulnerability in acute myeloid leukemia. Blood. 145(13). 1422–1436. 4 indexed citations
2.
Zhu, Changyu, Yadira M. Soto-Feliciano, John P. Morris, et al.. (2023). MLL3 regulates the CDKN2A tumor suppressor locus in liver cancer. eLife. 12. 13 indexed citations
3.
Huang, Chun‐Hao, Francisco J. Sánchez‐Rivera, Margaret C. Kennedy, et al.. (2022). A preclinical platform for assessing antitumor effects and systemic toxicities of cancer drug targets. Proceedings of the National Academy of Sciences. 119(17). e2110557119–e2110557119. 8 indexed citations
4.
Millman, Scott E., Almudena Chaves Perez, John P. Morris, et al.. (2022). Ogdh Is a Genetic Vulnerability and Therapeutic Target in Acute Myeloid Leukemia. Blood. 140(Supplement 1). 5846–5847. 1 indexed citations
5.
Chen, Chi-Chao, Bo Li, Scott E. Millman, et al.. (2020). Vitamin B6 Addiction in Acute Myeloid Leukemia. Cancer Cell. 37(1). 71–84.e7. 55 indexed citations
6.
Loizou, Evangelia, Ana Banito, Geulah Livshits, et al.. (2019). A Gain-of-Function p53-Mutant Oncogene Promotes Cell Fate Plasticity and Myeloid Leukemia through the Pluripotency Factor FOXH1. Cancer Discovery. 9(7). 962–979. 59 indexed citations
7.
Ruscetti, Marcus, Josef Leibold, Matthew J. Bott, et al.. (2018). NK cell–mediated cytotoxicity contributes to tumor control by a cytostatic drug combination. Science. 362(6421). 1416–1422. 268 indexed citations
8.
Lee, Stanley Chun-Wei, Khrystyna North, Chi-Chao Chen, et al.. (2018). Dependency of Spliceosomal Mutant MDS on Innate Immune Signaling. Blood. 132(Supplement 1). 937–937. 1 indexed citations
9.
Zhao, Zhen, Chi-Chao Chen, Cory D. Rillahan, et al.. (2015). Cooperative loss of RAS feedback regulation drives myeloid leukemogenesis. Nature Genetics. 47(5). 539–543. 24 indexed citations
10.
Huang, Chun‐Hao, Shih‐Shin Liang, Edward Hsi, et al.. (2015). Onco-proteogenomics identifies urinary S100A9 and GRN as potential combinatorial biomarkers for early diagnosis of hepatocellular carcinoma. PubMed. 3. 205–213. 31 indexed citations
11.
Fennell, Myles, Qing Xiang, Chong Chen, et al.. (2014). Impact of RNA-Guided Technologies for Target Identification and Deconvolution. SLAS DISCOVERY. 19(10). 1327–1337. 18 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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