Victor Tse

3.8k total citations · 1 hit paper
49 papers, 2.2k citations indexed

About

Victor Tse is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Victor Tse has authored 49 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Oncology and 13 papers in Genetics. Recurrent topics in Victor Tse's work include Glioma Diagnosis and Treatment (11 papers), Angiogenesis and VEGF in Cancer (10 papers) and Cancer, Hypoxia, and Metabolism (8 papers). Victor Tse is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Angiogenesis and VEGF in Cancer (10 papers) and Cancer, Hypoxia, and Metabolism (8 papers). Victor Tse collaborates with scholars based in United States, India and Ireland. Victor Tse's co-authors include Lewis Hou, Darren J. Lipomi, Michael V. McConnell, H.‐S. Philip Wong, Lisa Y. Chen, Zhenan Bao, Gregor Schwartz, Benjamin C. K. Tee, Alex Chortos and Byung Moo Lee and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Victor Tse

47 papers receiving 2.2k citations

Hit Papers

Continuous wireless pressure monitoring and mapping with ... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor Tse United States 22 612 555 528 517 282 49 2.2k
Monique R. Bernsen Netherlands 27 490 0.8× 572 1.0× 418 0.8× 378 0.7× 158 0.6× 88 2.6k
George E. Plopper United States 30 339 0.6× 1.5k 2.7× 1.1k 2.1× 152 0.3× 299 1.1× 63 4.0k
Manja Wobus Germany 23 326 0.5× 864 1.6× 484 0.9× 288 0.6× 182 0.6× 68 2.1k
Michael Notter Germany 25 363 0.6× 521 0.9× 241 0.5× 285 0.6× 136 0.5× 69 2.1k
Rosa S. Schneiderman Israel 24 387 0.6× 762 1.4× 1.4k 2.7× 113 0.2× 232 0.8× 77 3.8k
Mariaceleste Aragona Italy 12 766 1.3× 3.1k 5.7× 987 1.9× 219 0.4× 303 1.1× 15 6.8k
Michael L. Smith United States 30 307 0.5× 785 1.4× 903 1.7× 456 0.9× 241 0.9× 55 3.4k
A. Sewing Germany 29 893 1.5× 1.3k 2.3× 981 1.9× 90 0.2× 198 0.7× 53 2.9k
Chen‐Hsiang Kuan Taiwan 14 896 1.5× 2.4k 4.3× 541 1.0× 1.5k 3.0× 657 2.3× 36 5.2k
Charles K. F. Chan United States 26 1.1k 1.7× 1.5k 2.8× 617 1.2× 1.4k 2.6× 285 1.0× 59 4.2k

Countries citing papers authored by Victor Tse

Since Specialization
Citations

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

Fields of papers citing papers by Victor Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Tse

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Tse. A scholar is included among the top collaborators of Victor Tse 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 Victor Tse. Victor Tse 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.
Hu, Jiaxin, et al.. (2025). Nuclear Argonaute:miRNA complexes recognize target sequences within chromatin-associated RNA and silence gene expression. Nucleic Acids Research. 53(16). 1 indexed citations
2.
3.
Chen, Yiren, Eli Johnson, Beatrice Ugiliweneza, et al.. (2024). Intracranial Gunshot Wounds: An Assessment of Patient Characteristics on Surgical Outcomes. Cureus. 16(12). e75412–e75412. 1 indexed citations
4.
Zhou, Shasha, Collin S Hill, Victor Tse, et al.. (2021). RNHC inhibits SARS-CoV-2 in vitro but is mutagenic in mammalian cells. 29(1). 135–136. 1 indexed citations
5.
Chen, Lisa Y., Benjamin C. K. Tee, Alex Chortos, et al.. (2014). Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care. Nature Communications. 5(1). 5028–5028. 452 indexed citations breakdown →
6.
Foster, Deshka S., Corinne Renier, Hannes Vogel, et al.. (2014). Ex vivo Evans blue assessment of the blood brain barrier in three breast cancer brain metastasis models. Breast Cancer Research and Treatment. 144(1). 93–101. 29 indexed citations
7.
Marabelle, Aurélien, Holbrook E. Kohrt, Idit Sagiv-Barfi, et al.. (2013). Depleting tumor-specific Tregs at a single site eradicates disseminated tumors. Journal of Clinical Investigation. 123(6). 2447–2463. 279 indexed citations
8.
Sun, Amy, et al.. (2010). Firefly Luciferase–Based Dynamic Bioluminescence Imaging. Neurosurgery. 66(4). 751–757. 27 indexed citations
9.
Mishra, Allan, Padmaja Tummala, Aaron A. King, et al.. (2009). Buffered Platelet-Rich Plasma Enhances Mesenchymal Stem Cell Proliferation and Chondrogenic Differentiation. Tissue Engineering Part C Methods. 15(3). 431–435. 317 indexed citations
10.
Veeravagu, Anand, Zhaofei Liu, Gang Niu, et al.. (2008). Integrin αvβ3-Targeted Radioimmunotherapy of Glioblastoma Multiforme. Clinical Cancer Research. 14(22). 7330–7339. 63 indexed citations
11.
Veeravagu, Anand, Simon R. Bababeygy, M. Yashar S. Kalani, Lewis Hou, & Victor Tse. (2008). The Cancer Stem Cell–Vascular Niche Complex in Brain Tumor Formation. Stem Cells and Development. 17(5). 859–868. 35 indexed citations
12.
Hsu, Andrew, Weibo Cai, Lewis Hou, Victor Tse, & Xiaohong Chen. (2007). Integrin αvβ3 Antagonists for Anti-Angiogenic Cancer Treatment. Recent Patents on Anti-Cancer Drug Discovery. 2(2). 143–158. 45 indexed citations
13.
Santarelli, Justin, Yun C. Yung, Amy J. Wagers, et al.. (2006). Incorporation of Bone Marrow-derived Flk-1-expressing CD34+ Cells in the Endothelium of Tumor Vessels in the Mouse Brain. Neurosurgery. 59(2). 374–382. 50 indexed citations
14.
Santarelli, Justin, Yun C. Yung, Amy J. Wagers, et al.. (2005). Hematopoietic Stem Cells Give Rise to Perivascular Endothelial-like Cells During Brain Tumor Angiogenesis. Stem Cells and Development. 14(5). 478–486. 26 indexed citations
15.
16.
Patel, Mahesh R. & Victor Tse. (2004). Diagnosis and staging of brain tumors. Seminars in Roentgenology. 39(3). 347–360. 18 indexed citations
17.
Wang, Tzu‐Jou, Ming‐Shyan Huang, Chi‐Yuan Hong, et al.. (2001). Comparisons of Tumor Suppressor p53, p21, and p16 Gene Therapy Effects on Glioblastoma Tumorigenicity in Situ. Biochemical and Biophysical Research Communications. 287(1). 173–180. 33 indexed citations
18.
Williams, Ziv M., Victor Tse, Lewis Hou, Lei Xu, & Gerald D. Silverberg. (2000). Sonic hedgehog promotes proliferation and tyrosine hydroxylase induction of postnatal sympathetic cells in vitro. Neuroreport. 11(15). 3315–3319. 16 indexed citations
19.
Hsiao, Michael, Victor Tse, Jason B. Carmel, et al.. (1997). Intracavitary Liposome-Mediated p53 Gene Transfer into Glioblastoma with Endogenous Wild-Type p53in VivoResults in Tumor Suppression and Long-Term Survival. Biochemical and Biophysical Research Communications. 233(2). 359–364. 49 indexed citations
20.
Hsiao, Michael, Victor Tse, Jason B. Carmel, et al.. (1997). Functional Expression of Human p21WAF1/CIP1Gene in Rat Glioma Cells Suppresses Tumor Growthin Vivoand Induces Radiosensitivity. Biochemical and Biophysical Research Communications. 233(2). 329–335. 30 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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