Victor M. Tan

1.2k total citations · 1 hit paper
8 papers, 700 citations indexed

About

Victor M. Tan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Victor M. Tan has authored 8 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Victor M. Tan's work include Ubiquitin and proteasome pathways (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers) and Neonatal Respiratory Health Research (2 papers). Victor M. Tan is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers) and Neonatal Respiratory Health Research (2 papers). Victor M. Tan collaborates with scholars based in United States, China and Germany. Victor M. Tan's co-authors include Alexis N. Brumwell, Jeffrey E. Gotts, Harold A. Chapman, Ying Xi, Michael A. Matthay, Andrew E. Vaughan, Douglas Brownfield, Mark R. Looney, Kevin S. W. Tan and Jason R. Rock and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Victor M. Tan

8 papers receiving 691 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lineage-negative progenitors mobilize to regenerate lung epithelium after major injury

2014 455 citations Andrew E. Vaughan, Alexis N. Brumwell et al. Nature profile →

Peers

Victor M. Tan

PRM

SURGE

MB

ONCOL

CR

Alexis Brumwell United States

Jennifer Quantius Germany

Nour‐Al‐Dain Marzouka Sweden

Shunsuke Yamada Japan

Mokrane Yacoub France

Natalie Briones United States

Danping Shen China

Daichi Nomoto Japan

Julie Moore United States

Vikas Satyananda United States

Alexis Brumwell United States

Victor M. Tan

403 ×0.8

PRM

210 ×0.8

SURGE

166 ×0.7

MB

50 ×0.7

ONCOL

28 ×0.4

CR

Citations per year, relative to Victor M. Tan Victor M. Tan (= 1×) peers Alexis Brumwell

Countries citing papers authored by Victor M. Tan

Since Specialization

Citations

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

Fields of papers citing papers by Victor M. Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor M. Tan

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Tan, Victor M., et al.. (2023). Saracatinib synergizes with enzalutamide to downregulate AR activity in CRPC. Frontiers in Oncology. 13. 1210487–1210487. 2 indexed citations

2.

Yachnin, Brahm J., Conceição A.S.A. Minetti, David P. Remeta, et al.. (2022). Massively parallel, computationally guided design of a proenzyme. Proceedings of the National Academy of Sciences. 119(15). e2116097119–e2116097119. 6 indexed citations

3.

Tan, Victor M., Jingjing Guo, Hanlin Tao, et al.. (2021). Development and Characterization of a Modular CRISPR and RNA Aptamer Mediated Base Editing System. The CRISPR Journal. 4(1). 58–68. 9 indexed citations

4.

Cao, Bin, Jingjing Guo, Hanlin Tao, et al.. (2021). Mitochondrial uncoupler MB1-47 is efficacious in treating hepatic metastasis of pancreatic cancer in murine tumor transplantation models. Oncogene. 40(12). 2285–2295. 7 indexed citations

5.

Yue, Xuetian, Cen Zhang, Yuhan Zhao, et al.. (2017). Gain-of-function mutant p53 activates small GTPase Rac1 through SUMOylation to promote tumor progression. Genes & Development. 31(16). 1641–1654. 37 indexed citations

6.

Xi, Ying, Thomas Kim, Alexis N. Brumwell, et al.. (2017). Local lung hypoxia determines epithelial fate decisions during alveolar regeneration. Nature Cell Biology. 19(8). 904–914. 180 indexed citations

7.

Tan, Victor M., Larry C. Cheng, & Justin M. Drake. (2016). Complementing genomics and transcriptomics: Phosphoproteomics illuminates systems biology in prostate cancer. Molecular & Cellular Oncology. 3(6). e1246075–e1246075. 4 indexed citations

8.

Vaughan, Andrew E., Alexis N. Brumwell, Ying Xi, et al.. (2014). Lineage-negative progenitors mobilize to regenerate lung epithelium after major injury. Nature. 517(7536). 621–625. 455 indexed citations breakdown →

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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