Bret M. Evers

3.2k total citations
89 papers, 2.0k citations indexed

About

Bret M. Evers is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Bret M. Evers has authored 89 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 24 papers in Oncology and 19 papers in Surgery. Recurrent topics in Bret M. Evers's work include Neuroendocrine Tumor Research Advances (6 papers), Neuroblastoma Research and Treatments (6 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Bret M. Evers is often cited by papers focused on Neuroendocrine Tumor Research Advances (6 papers), Neuroblastoma Research and Treatments (6 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Bret M. Evers collaborates with scholars based in United States, China and Japan. Bret M. Evers's co-authors include Piotr Rychahou, Dai H. Chung, Courtney M. Townsend, W. Conan Mustain, Huiping Guo, Sean Bong Lee, Jinyi Shao, Hongmiao Sheng, Yuko Sugiyama and Srinivasan Rajaraman and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Bret M. Evers

81 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bret M. Evers United States 23 963 475 323 253 237 89 2.0k
Mónika Göőz United States 24 754 0.8× 282 0.6× 317 1.0× 313 1.2× 127 0.5× 60 1.8k
Toshifumi Azuma Japan 22 1.6k 1.7× 365 0.8× 212 0.7× 342 1.4× 158 0.7× 79 2.6k
Masato Kobori Japan 21 1.4k 1.5× 294 0.6× 304 0.9× 242 1.0× 285 1.2× 33 2.6k
Jiin‐Tsuey Cheng Taiwan 30 1.5k 1.6× 368 0.8× 230 0.7× 291 1.2× 190 0.8× 83 3.0k
Myung-Jin Kim South Korea 19 1.1k 1.2× 187 0.4× 207 0.6× 185 0.7× 251 1.1× 38 1.8k
Manuel Reina Spain 27 1.1k 1.2× 238 0.5× 269 0.8× 205 0.8× 214 0.9× 87 2.3k
Eung‐Gook Kim South Korea 24 1.7k 1.8× 412 0.9× 162 0.5× 183 0.7× 151 0.6× 96 2.7k
Yoo‐Wook Kwon South Korea 26 1.4k 1.4× 177 0.4× 361 1.1× 299 1.2× 179 0.8× 61 2.3k
Liang Dong China 33 1.6k 1.7× 448 0.9× 486 1.5× 535 2.1× 115 0.5× 85 3.2k
Marie‐Luise Kruse Germany 26 1.3k 1.4× 741 1.6× 415 1.3× 461 1.8× 123 0.5× 47 2.4k

Countries citing papers authored by Bret M. Evers

Since Specialization
Citations

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

Fields of papers citing papers by Bret M. Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bret M. Evers

This figure shows the co-authorship network connecting the top 25 collaborators of Bret M. Evers. A scholar is included among the top collaborators of Bret M. Evers 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 Bret M. Evers. Bret M. Evers 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.
Suresh, Shruthy, Lisa Thomas, Cheryl Lewis, et al.. (2025). The Integrated Stress Response Pathway Coordinates Translational Control of Multiple Immune Checkpoints in Lung Cancer. Cancer Research. 85(14). 2574–2590. 2 indexed citations
2.
Xing, Chao, Ashutosh Shukla, Bret M. Evers, et al.. (2025). Minoxidil restores thymic growth in 22q11.2 deletion syndrome by limiting Sox9+ chondrocyte expansion. PubMed. 1(3). e20250143–e20250143. 1 indexed citations
3.
Ji, Yapeng, Song Hu, Yuchen Ji, et al.. (2025). Targeting necrotic lipid release in tumors enhances immunosurveillance and cancer immunotherapy of glioblastoma. Cell Research. 35(11). 859–875.
4.
Enam, Syed Faaiz, Sourav S. Patnaik, Bret M. Evers, et al.. (2024). EXTH-74. COOLING GLIOBLASTOMA WITH A NEURAL IMPLANT. Neuro-Oncology. 26(Supplement_8). viii254–viii254.
5.
Smith, Tyler B., Nicholas J. Ashton, Marguerite L. Monogue, et al.. (2024). Alternating magnetic fields (AMF) and linezolid reduce Staphylococcus aureus biofilm in a large animal implant model. Journal of Infection. 89(5). 106271–106271. 2 indexed citations
6.
Zhang, Chi, Meng-Hsiung Hsieh, Ping Wang, et al.. (2024). Cancer mutations rewire the RNA methylation specificity of METTL3-METTL14. Science Advances. 10(51). eads4750–eads4750. 3 indexed citations
7.
Jones, Benjamin T., Jaeil Han, He Zhang, et al.. (2023). Target-directed microRNA degradation regulates developmental microRNA expression and embryonic growth in mammals. Genes & Development. 37(13-14). 661–674. 21 indexed citations
8.
Lichterman, Jake, Laura Coughlin, Nicole Poulides, et al.. (2023). Immune checkpoint blockade induces gut microbiota translocation that augments extraintestinal antitumor immunity. Science Immunology. 8(81). eabo2003–eabo2003. 76 indexed citations
9.
Iyengar, Puneeth, Jorge Z. Granados, Tong Guo, et al.. (2023). Tumor loss-of-function mutations in STK11/LKB1 induce cachexia. JCI Insight. 8(8). 9 indexed citations
10.
Casey, Amanda K., Hillery F. Gray, Suneeta Chimalapati, et al.. (2022). Fic-mediated AMPylation tempers the unfolded protein response during physiological stress. Proceedings of the National Academy of Sciences. 119(32). e2208317119–e2208317119. 14 indexed citations
11.
Bhattacharyya, Samadrita, Rahul K. Kollipara, Sean C. Goetsch, et al.. (2022). Global chromatin landscapes identify candidate noncoding modifiers of cardiac rhythm. Journal of Clinical Investigation. 133(3). 3 indexed citations
12.
Sivakumar, Sushama, Shu‐Tao Qi, Adwait Amod Sathe, et al.. (2022). TP53 promotes lineage commitment of human embryonic stem cells through ciliogenesis and sonic hedgehog signaling. Cell Reports. 38(7). 110395–110395. 18 indexed citations
13.
Li, Guanchen, et al.. (2022). STAG2 promotes the myelination transcriptional program in oligodendrocytes. eLife. 11. 11 indexed citations
14.
Ramirez-Martinez, Andres, Yichi Zhang, Kenian Chen, et al.. (2021). The nuclear envelope protein Net39 is essential for muscle nuclear integrity and chromatin organization. Nature Communications. 12(1). 690–690. 21 indexed citations
15.
Guo, Tong, Arun Gupta, Jinhai Yu, et al.. (2021). LIFR-α-dependent adipocyte signaling in obesity limits adipose expansion contributing to fatty liver disease. iScience. 24(3). 102227–102227. 15 indexed citations
16.
Wang, Xu, Jonathan Wilhelm, Wei Li, et al.. (2020). Polycarbonate-based ultra-pH sensitive nanoparticles improve therapeutic window. Nature Communications. 11(1). 5828–5828. 79 indexed citations
17.
Gao, Yajing, Ricardo A. Irizarry-Caro, Igor Dozmorov, et al.. (2019). Transcriptional profiling identifies caspase-1 as a T cell–intrinsic regulator of Th17 differentiation. The Journal of Experimental Medicine. 217(4). 18 indexed citations
18.
Zhou, Xiaorong, Mahesh S. Padanad, Bret M. Evers, et al.. (2018). Modulation of Mutant KrasG12D -Driven Lung Tumorigenesis In Vivo by Gain or Loss of PCDH7 Function. Molecular Cancer Research. 17(2). 594–603. 23 indexed citations
20.
Evers, Bret M., et al.. (1995). A NEW PIEZORESISTIVE SYSTEM FOR MEASURING OF INTRACOMPARTMENTAL PRESSURE. Journal of Orthopaedic Science. 69(3). 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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