Lan Thi Phi

1.6k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

Lan Thi Phi is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Lan Thi Phi has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Oncology. Recurrent topics in Lan Thi Phi's work include Mesenchymal stem cell research (10 papers), Angiogenesis and VEGF in Cancer (8 papers) and Cancer-related molecular mechanisms research (4 papers). Lan Thi Phi is often cited by papers focused on Mesenchymal stem cell research (10 papers), Angiogenesis and VEGF in Cancer (8 papers) and Cancer-related molecular mechanisms research (4 papers). Lan Thi Phi collaborates with scholars based in Vietnam, South Korea and United States. Lan Thi Phi's co-authors include Hyog Young Kwon, Ita Novita Sari, Sanghyun Lee, Nayoung Jun, Yinggui Yang, Kwang Seock Kim, Yun Kyung Lee, Yoseph Toni Wijaya, Ngoc Bich Vu and Phuc Van Pham and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, International Journal of Cancer and Oncotarget.

In The Last Decade

Lan Thi Phi

24 papers receiving 1.2k citations

Hit Papers

Cancer Stem Cells (CSCs) in Drug Resistance and their The... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan Thi Phi Vietnam 12 750 489 314 114 114 24 1.2k
Sheng Zhou China 24 586 0.8× 372 0.8× 239 0.8× 98 0.9× 106 0.9× 46 1.1k
Guang‐Yuh Chiou Taiwan 19 1.0k 1.4× 394 0.8× 524 1.7× 92 0.8× 97 0.9× 32 1.5k
Heming Li China 19 506 0.7× 475 1.0× 325 1.0× 150 1.3× 80 0.7× 60 1.1k
Mélanie Di Benedetto France 18 698 0.9× 356 0.7× 235 0.7× 74 0.6× 99 0.9× 33 1.3k
Akimasa Seno Japan 19 658 0.9× 563 1.2× 203 0.6× 175 1.5× 177 1.6× 64 1.1k
Carmen Griñán‐Lisón Spain 18 512 0.7× 342 0.7× 318 1.0× 94 0.8× 174 1.5× 39 969
Fiona Furlong Ireland 18 887 1.2× 326 0.7× 369 1.2× 170 1.5× 92 0.8× 34 1.3k
Zhengsheng Wu China 22 970 1.3× 376 0.8× 667 2.1× 174 1.5× 106 0.9× 43 1.5k
Federico Tozzi United States 11 714 1.0× 542 1.1× 428 1.4× 88 0.8× 94 0.8× 15 1.3k
Zhonghua Tao China 21 582 0.8× 419 0.9× 374 1.2× 98 0.9× 61 0.5× 73 1.1k

Countries citing papers authored by Lan Thi Phi

Since Specialization
Citations

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

Fields of papers citing papers by Lan Thi Phi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan Thi Phi. 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 Lan Thi Phi. The network helps show where Lan Thi Phi may publish in the future.

Co-authorship network of co-authors of Lan Thi Phi

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

All Works

20 of 20 papers shown
1.
Phi, Lan Thi, Yating Cheng, Yohei Funakoshi, et al.. (2025). AXL promotes inflammatory breast cancer progression by regulating immunosuppressive macrophage polarization. Breast Cancer Research. 27(1). 70–70. 1 indexed citations
2.
Wang, Xiaoping, Takashi Semba, Lan Thi Phi, et al.. (2020). Targeting Signaling Pathways in Inflammatory Breast Cancer. Cancers. 12(9). 2479–2479. 22 indexed citations
3.
Phi, Lan Thi, Yoseph Toni Wijaya, Ita Novita Sari, et al.. (2019). <p>20(R)-Ginsenoside Rg3 Influences Cancer Stem Cell Properties and the Epithelial-Mesenchymal Transition in Colorectal Cancer via the SNAIL Signaling Axis</p>. OncoTargets and Therapy. Volume 12. 10885–10895. 22 indexed citations
4.
Phi, Lan Thi, Yoseph Toni Wijaya, Ita Novita Sari, et al.. (2018). The anti‐metastatic effect of ginsenoside Rb2 in colorectal cancer in an EGFR/SOX2‐dependent manner. Cancer Medicine. 7(11). 5621–5631. 31 indexed citations
5.
Phi, Lan Thi, Ita Novita Sari, Yoseph Toni Wijaya, et al.. (2018). Ginsenoside Rd Inhibits the Metastasis of Colorectal Cancer via Epidermal Growth Factor Receptor Signaling Axis. IUBMB Life. 71(5). 601–610. 35 indexed citations
6.
Yang, Yinggui, Young Wha Koh, Ita Novita Sari, et al.. (2018). Interferon‐induced transmembrane protein 1‐mediated EGFR/SOX2 signaling axis is essential for progression of non‐small cell lung cancer. International Journal of Cancer. 144(8). 2020–2032. 21 indexed citations
7.
Vu, Ngoc Bich, et al.. (2017). Allogeneic Adipose-Derived Mesenchymal Stem Cell Transplantation Enhances the Expression of Angiogenic Factors in a Mouse Acute Hindlimb Ischemic Model. Advances in experimental medicine and biology. 1083. 1–17. 5 indexed citations
8.
Vu, Ngoc Bich, et al.. (2017). In Vitro Production of Cartilage Tissue from Rabbit Bone Marrow-Derived Mesenchymal Stem Cells and Polycaprolactone Scaffold. Advances in experimental medicine and biology. 1084. 45–60. 15 indexed citations
9.
Pham, Phuc Van, et al.. (2017). ETV-2 activated proliferation of endothelial cells and attenuated acute hindlimb ischemia in mice. In Vitro Cellular & Developmental Biology - Animal. 53(7). 616–625. 9 indexed citations
11.
Pham, Phuc Van, et al.. (2016). Production of endothelial progenitor cells from skin fibroblasts by direct reprogramming for clinical usages. In Vitro Cellular & Developmental Biology - Animal. 53(3). 207–216. 12 indexed citations
12.
Phi, Lan Thi, et al.. (2016). A mouse model of osteonecrotic femoral head induced by methylprednisolone and liposaccharide. Biomedical Research and Therapy. 3(3). 4 indexed citations
13.
Vu, Ngoc Bich, et al.. (2016). In vitro and in vivo biocompatibility of Ti-6Al-4V titanium alloy and UHMWPE polymer for total hip replacement. Biomedical Research and Therapy. 3(3). 23 indexed citations
14.
Sari, Ita Novita, Yinggui Yang, Lan Thi Phi, et al.. (2016). Interferon-induced transmembrane protein 1 (IFITM1) is required for the progression of colorectal cancer. Oncotarget. 7(52). 86039–86050. 35 indexed citations
15.
Vu, Ngoc Bich, et al.. (2016). Human adipose-derived mesenchymal stem cell could participate in angiogenesis in a mouse model of acute hindlimb ischemia. Biomedical Research and Therapy. 3(8). 7 indexed citations
16.
17.
Vu, Ngoc Bich, et al.. (2015). A safety evaluation of adipose derived stem cells. Biomedical Research and Therapy. 2(9). 359–365. 1 indexed citations
18.
Vu, Ngoc Bich, et al.. (2015). An evaluation of the safety of adipose-derived stem cells. Biomedical Research and Therapy. 2(9). 3 indexed citations
19.
Vu, Ngoc Bich, et al.. (2014). A comparison of umbilical cord blood-derived endothelial progenitor cell transplantation and mononuclear cell transplantation for the treatment of acute hindlimb ischemia in a murine model. Biomedical Research and Therapy. 1(1). 9–20. 1 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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