Junmin Wu

2.9k total citations · 1 hit paper
28 papers, 2.2k citations indexed

About

Junmin Wu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Junmin Wu has authored 28 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Immunology. Recurrent topics in Junmin Wu's work include Cancer-related Molecular Pathways (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and DNA Repair Mechanisms (3 papers). Junmin Wu is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and DNA Repair Mechanisms (3 papers). Junmin Wu collaborates with scholars based in United States, China and Belgium. Junmin Wu's co-authors include Tullia Lindsten, Craig B. Thompson, Steven L. Reiner, Sharline Madera, Levi J. Rupp, Scott M. Gordon, Julie Chaix, Joseph C. Sun, Eric J. Bernhard and Heesun Cheong and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Junmin Wu

28 papers receiving 2.2k citations

Hit Papers

The Transcription Factors T-bet and Eomes Control Key Che... 2012 2026 2016 2021 2012 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
Junmin Wu United States 18 1.1k 710 673 404 262 28 2.2k
Rebecca L. Aucott United Kingdom 14 797 0.8× 429 0.6× 670 1.0× 324 0.8× 155 0.6× 17 2.4k
Sandro Goruppi United States 21 1.0k 1.0× 611 0.9× 181 0.3× 397 1.0× 196 0.7× 28 1.8k
Robert H. Arch United States 21 926 0.9× 1.1k 1.5× 241 0.4× 412 1.0× 571 2.2× 25 2.4k
Changcun Guo China 27 1.4k 1.3× 357 0.5× 299 0.4× 451 1.1× 582 2.2× 72 2.3k
Annalisa Frattini Italy 26 2.0k 1.9× 1.0k 1.4× 239 0.4× 1.0k 2.5× 307 1.2× 77 3.4k
Miriam Erlacher Germany 23 1.6k 1.5× 641 0.9× 206 0.3× 561 1.4× 266 1.0× 78 2.5k
Carol A. Mercer United States 16 935 0.9× 247 0.3× 517 0.8× 331 0.8× 189 0.7× 23 1.6k
Vijaya Chaturvedi United States 24 1.2k 1.1× 415 0.6× 124 0.2× 477 1.2× 374 1.4× 39 2.0k
Gwenola Manic Italy 20 1.3k 1.3× 963 1.4× 272 0.4× 868 2.1× 597 2.3× 30 2.6k
Francesco Trapasso United States 33 2.6k 2.4× 393 0.6× 230 0.3× 798 2.0× 529 2.0× 40 3.5k

Countries citing papers authored by Junmin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junmin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junmin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Junmin Wu. A scholar is included among the top collaborators of Junmin Wu 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 Junmin Wu. Junmin Wu 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.
Xie, Yaqin, et al.. (2024). Relative Positioning of the Inspection Robot Based on RFID Tag Array in Complex GNSS-Denied Environments. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 2 indexed citations
2.
Wu, Junmin, Mijoon Lee, Man Wang, et al.. (2024). Evaluation of the Mammalian Aquaporin Inhibitors Auphen and Z433927330 in Treating Breast Cancer. Cancers. 16(15). 2714–2714. 2 indexed citations
4.
Yang, Qian, Qingyao Wang, Junmin Wu, et al.. (2021). Distinct dynamics of Vibrio parahaemolyticus populations in two farming models. Journal of Applied Microbiology. 133(3). 1146–1155. 3 indexed citations
5.
Fu, Songzhe, Qian Yang, Qingyao Wang, et al.. (2021). Metagenomics combined with comprehensive validation as a public health risk assessment tool for urban and agricultural run-off. Water Research. 209. 117941–117941. 20 indexed citations
6.
Dai, Chen, Man Wang, Junmin Wu, et al.. (2020). Aquaporin-7 Regulates the Response to Cellular Stress in Breast Cancer. Cancer Research. 80(19). 4071–4086. 29 indexed citations
8.
Shin, Jae-Ho, et al.. (2020). In vivo evaluation of CD38 and CD138 as targets for nanoparticle-based drug delivery in multiple myeloma. Journal of Hematology & Oncology. 13(1). 145–145. 27 indexed citations
9.
Guldner, Ian H., Lan Jiang, Longhua Sun, et al.. (2019). Death effector domain-containing protein induces vulnerability to cell cycle inhibition in triple-negative breast cancer. Nature Communications. 10(1). 2860–2860. 17 indexed citations
10.
Jiang, Qinqin, Manikandan Paramasivam, Bernadette Aressy, et al.. (2015). MERIT40 cooperates with BRCA2 to resolve DNA interstrand cross-links. Genes & Development. 29(18). 1955–1968. 21 indexed citations
11.
Zheng, Hui, Vibhor Gupta, Jeffrey Patterson-Fortin, et al.. (2013). A BRISC-SHMT Complex Deubiquitinates IFNAR1 and Regulates Interferon Responses. Cell Reports. 5(1). 180–193. 75 indexed citations
12.
Gordon, Scott M., Julie Chaix, Levi J. Rupp, et al.. (2012). The Transcription Factors T-bet and Eomes Control Key Checkpoints of Natural Killer Cell Maturation. Immunity. 36(1). 55–67. 573 indexed citations breakdown →
13.
Barnett, Burton E., Maria L. Ciocca, Radhika Goenka, et al.. (2011). Asymmetric B Cell Division in the Germinal Center Reaction. Science. 335(6066). 342–344. 81 indexed citations
14.
Cheong, Heesun, Tullia Lindsten, Junmin Wu, Chao Lü, & Craig B. Thompson. (2011). Ammonia-induced autophagy is independent of ULK1/ULK2 kinases. Proceedings of the National Academy of Sciences. 108(27). 11121–11126. 281 indexed citations
15.
Jacob, Dena A., et al.. (2008). The role of cell death in sexually dimorphic muscle development: Male‐specific muscles are retained in female bax/bak knockout mice. Developmental Neurobiology. 68(11). 1303–1314. 14 indexed citations
16.
Shi, Yuquan, Caroline Sunyong Lee, Junmin Wu, et al.. (2005). Effects of hyperbaric oxygen exposure on experimental head and neck tumor growth, oxygenation, and vasculature. Head & Neck. 27(5). 362–369. 24 indexed citations
17.
Shi, Yuquan, Junmin Wu, Rosemarie Mick, et al.. (2004). Farnesyltransferase inhibitor effects on prostate tumor micro-environment and radiation survival. The Prostate. 62(1). 69–82. 12 indexed citations
18.
Cohen–Jonathan, Elizabeth, Sydney M. Evans, Cameron J. Koch, et al.. (2001). The farnesyltransferase inhibitor L744,832 reduces hypoxia in tumors expressing activated H-ras.. PubMed. 61(5). 2289–93. 60 indexed citations
19.
Gupta, Anjali, Eric J. Bernhard, Vincent J. Bakanauskas, et al.. (2000). RAS-Mediated Radiation Resistance is not Linked to MAP Kinase Activation in Two Bladder Carcinoma Cell Lines. Radiation Research. 154(1). 64–72. 33 indexed citations
20.
Bernhard, Eric J., W. Gillies McKenna, Andrew D. Hamilton, et al.. (1998). Inhibiting Ras prenylation increases the radiosensitivity of human tumor cell lines with activating mutations of ras oncogenes.. PubMed. 58(8). 1754–61. 154 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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