Tien-Chi Pan

1.7k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Tien-Chi Pan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Tien-Chi Pan has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Tien-Chi Pan's work include Cancer Cells and Metastasis (7 papers), Cancer Genomics and Diagnostics (4 papers) and Estrogen and related hormone effects (3 papers). Tien-Chi Pan is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Cancer Genomics and Diagnostics (4 papers) and Estrogen and related hormone effects (3 papers). Tien-Chi Pan collaborates with scholars based in United States, Slovakia and Canada. Tien-Chi Pan's co-authors include Lewis A. Chodosh, Christopher J. Sterner, Susan E. Moody, Robert D. Cardiff, Carla Portocarrero, Denise Perez, Christopher J. Sarkisian, Dhruv K. Pant, George K. Belka and James V. Alvarez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Tien-Chi Pan

17 papers receiving 1.2k citations

Hit Papers

The transcriptional repre... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tien-Chi Pan United States 14 769 618 320 161 125 18 1.2k
Christopher J. Sterner United States 13 679 0.9× 661 1.1× 246 0.8× 137 0.9× 105 0.8× 14 1.2k
Paul M. Moseley United Kingdom 22 796 1.0× 616 1.0× 314 1.0× 116 0.7× 70 0.6× 45 1.1k
Wan-Ching Yen United States 17 912 1.2× 590 1.0× 232 0.7× 99 0.6× 77 0.6× 47 1.3k
Andreas Wernitznig Austria 13 782 1.0× 540 0.9× 274 0.9× 117 0.7× 167 1.3× 26 1.2k
Brigitta Dampier Austria 7 1.1k 1.4× 716 1.2× 444 1.4× 157 1.0× 178 1.4× 8 1.5k
Marcus Bosenberg United States 13 801 1.0× 384 0.6× 322 1.0× 123 0.8× 142 1.1× 20 1.2k
Paolo Salerno Italy 16 667 0.9× 410 0.7× 254 0.8× 93 0.6× 120 1.0× 31 1.1k
Christopher J. Sarkisian United States 6 920 1.2× 719 1.2× 238 0.7× 131 0.8× 112 0.9× 6 1.3k
Elena A. Takano Australia 19 795 1.0× 390 0.6× 337 1.1× 145 0.9× 264 2.1× 35 1.2k
Jillian Howlin Sweden 14 732 1.0× 471 0.8× 469 1.5× 211 1.3× 67 0.5× 20 1.2k

Countries citing papers authored by Tien-Chi Pan

Since Specialization
Citations

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

Fields of papers citing papers by Tien-Chi Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tien-Chi Pan

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

All Works

18 of 18 papers shown
1.
McDonald, Elizabeth S., Tien-Chi Pan, Dhruv K. Pant, et al.. (2025). Ternary Complex Components Responsible for Rapid LDL Internalization as Biomarkers for Breast Cancer Associated with Proliferation and Early Recurrence. Cancer Research Communications. 5(2). 226–239.
2.
Taifour, Tarek, Tung Bui, Dongmei Zuo, et al.. (2024). Osteopontin is a therapeutic target that drives breast cancer recurrence. Nature Communications. 15(1). 9174–9174. 17 indexed citations
3.
Pan, Tien-Chi, Dhruv K. Pant, Natalie Shih, et al.. (2024). Rare subclonal sequencing of breast cancers indicates putative metastatic driver mutations are predominately acquired after dissemination. Genome Medicine. 16(1). 26–26. 4 indexed citations
4.
Choudhury, Biswa, Tien-Chi Pan, Dhruv K. Pant, et al.. (2023). B3GALT6 promotes dormant breast cancer cell survival and recurrence by enabling heparan sulfate-mediated FGF signaling. Cancer Cell. 42(1). 52–69.e7. 15 indexed citations
5.
Chen, Saisai, Christopher J. Sterner, George K. Belka, et al.. (2023). PAQR8 promotes breast cancer recurrence and confers resistance to multiple therapies. Breast Cancer Research. 25(1). 1–1. 13 indexed citations
6.
Ruth, Jason R., Dhruv K. Pant, Tien-Chi Pan, et al.. (2021). Cellular dormancy in minimal residual disease following targeted therapy. Breast Cancer Research. 23(1). 63–63. 27 indexed citations
7.
Pan, Tien-Chi, Dhruv K. Pant, Natalie Shih, et al.. (2020). Genomic landscape of metastatic breast cancer identifies preferentially dysregulated pathways and targets. Journal of Clinical Investigation. 130(8). 4252–4265. 79 indexed citations
8.
Maxwell, Kara N., Emin Tahirović, Andrea B. Troxel, et al.. (2017). Comparative clinical utility of tumor genomic testing and cell-free DNA in metastatic breast cancer. Breast Cancer Research and Treatment. 164(3). 627–638. 19 indexed citations
9.
Abravanel, Daniel L., George K. Belka, Tien-Chi Pan, et al.. (2015). Notch promotes recurrence of dormant tumor cells following HER2/neu-targeted therapy. Journal of Clinical Investigation. 125(6). 2484–2496. 103 indexed citations
10.
Alvarez, James V., George K. Belka, Tien-Chi Pan, et al.. (2014). Oncogene Pathway Activation in Mammary Tumors Dictates FDG-PET Uptake. Cancer Research. 74(24). 7583–7598. 55 indexed citations
11.
Pant, Dhruv K., et al.. (2014). Ceramide Kinase Promotes Tumor Cell Survival and Mammary Tumor Recurrence. Cancer Research. 74(21). 6352–6363. 56 indexed citations
12.
Feng, Yi, Tien-Chi Pan, Dhruv K. Pant, et al.. (2014). SPSB1 Promotes Breast Cancer Recurrence by Potentiating c-MET Signaling. Cancer Discovery. 4(7). 790–803. 33 indexed citations
13.
Alvarez, James V., Tien-Chi Pan, Jason R. Ruth, et al.. (2013). Par-4 Downregulation Promotes Breast Cancer Recurrence by Preventing Multinucleation following Targeted Therapy. Cancer Cell. 24(1). 30–44. 68 indexed citations
14.
Wertheim, Gerald, Tien-Chi Pan, Anna Ramne, et al.. (2009). The Snf1-related kinase, Hunk, is essential for mammary tumor metastasis. Proceedings of the National Academy of Sciences. 106(37). 15855–15860. 33 indexed citations
15.
Liu, Zhandong, Min Wang, James V. Alvarez, et al.. (2008). Singular value decomposition-based regression identifies activation of endogenous signaling pathways in vivo. Genome biology. 9(12). R180–R180. 11 indexed citations
16.
Moody, Susan E., Denise Perez, Tien-Chi Pan, et al.. (2005). The transcriptional repressor Snail promotes mammary tumor recurrence. Cancer Cell. 8(3). 197–209. 582 indexed citations breakdown →
17.
Master, Stephen R., Alexander J. Stoddard, L. Charles Bailey, et al.. (2005). Genomic analysis of early murine mammary gland development using novel probe-level algorithms. Genome biology. 6(2). R20–R20. 17 indexed citations
18.
Wang, Jiawang, Joshua J. Gamsby, Steven L. Highfill, et al.. (2004). Deregulated expression of LRBA facilitates cancer cell growth. Oncogene. 23(23). 4089–4097. 56 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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