Max Brenner

2.8k total citations · 1 hit paper
68 papers, 2.0k citations indexed

About

Max Brenner is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, Max Brenner has authored 68 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 18 papers in Molecular Biology and 16 papers in Rheumatology. Recurrent topics in Max Brenner's work include Rheumatoid Arthritis Research and Therapies (15 papers), Cytokine Signaling Pathways and Interactions (12 papers) and Immune Response and Inflammation (8 papers). Max Brenner is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (15 papers), Cytokine Signaling Pathways and Interactions (12 papers) and Immune Response and Inflammation (8 papers). Max Brenner collaborates with scholars based in United States, Australia and Denmark. Max Brenner's co-authors include Ping Wang, Monowar Aziz, Pércío S. Gulko, Atsushi Murao, Haichao Wang, Teresina Laragione, Siavash Bolourani, Weng-Lang Yang, Fangming Zhang and Barbara Sherry and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and PLoS ONE.

In The Last Decade

Max Brenner

63 papers receiving 2.0k citations

Hit Papers

Release mechanisms of major DAMPs 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Brenner United States 25 825 777 297 259 241 68 2.0k
Yoshihiko Nakamura Japan 29 587 0.7× 994 1.3× 188 0.6× 426 1.6× 157 0.7× 135 3.4k
Atilla Yılmaz Germany 30 1.1k 1.3× 576 0.7× 182 0.6× 367 1.4× 243 1.0× 92 2.7k
Lloyd G. Cantley United States 30 918 1.1× 1.7k 2.1× 96 0.3× 283 1.1× 405 1.7× 61 4.4k
Xu Zhang China 30 550 0.7× 833 1.1× 559 1.9× 536 2.1× 267 1.1× 162 2.7k
Dongli Song China 26 369 0.4× 773 1.0× 274 0.9× 176 0.7× 414 1.7× 78 2.1k
Nicolas Schlegel Germany 30 310 0.4× 941 1.2× 158 0.5× 285 1.1× 245 1.0× 120 2.6k
G. Ed Rainger United Kingdom 34 1.5k 1.8× 1.0k 1.3× 274 0.9× 313 1.2× 364 1.5× 78 3.8k
Anastasios E. Germenis Greece 30 728 0.9× 469 0.6× 335 1.1× 492 1.9× 440 1.8× 127 2.7k
Yuki Tanaka Japan 22 434 0.5× 1.0k 1.3× 196 0.7× 206 0.8× 169 0.7× 120 2.6k
Dong Hyun Sohn South Korea 18 722 0.9× 921 1.2× 468 1.6× 182 0.7× 151 0.6× 51 2.2k

Countries citing papers authored by Max Brenner

Since Specialization
Citations

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

Fields of papers citing papers by Max Brenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Brenner

This figure shows the co-authorship network connecting the top 25 collaborators of Max Brenner. A scholar is included among the top collaborators of Max Brenner 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 Max Brenner. Max Brenner 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.
Zhou, Mian, et al.. (2025). Radiation-induced eCIRP causes macrophage phagocytic dysfunction via mitochondrial impairment and ferroptosis. Frontiers in Immunology. 16. 1719613–1719613.
2.
Zhang, Fangming, et al.. (2025). Inhibition of eCIRP attenuates PANoptosis and renal fibrosis. American Journal of Physiology-Renal Physiology. 329(3). F399–F409.
3.
Zhang, Fangming, Zhijian Hu, Asha Jacob, Max Brenner, & Ping Wang. (2025). An eCIRP inhibitor attenuates fibrosis and ferroptosis in ischemia and reperfusion induced chronic kidney disease. Molecular Medicine. 31(1). 11–11. 4 indexed citations
4.
Murao, Atsushi, et al.. (2024). Radiation-induced eCIRP impairs macrophage bacterial phagocytosis. Journal of Leukocyte Biology. 116(5). 1072–1079. 3 indexed citations
5.
Sharma, Archna, et al.. (2024). Extracellular CIRP induces neurotoxic A1 astrocytes via TREM‐1 in Alzheimer’s disease. Alzheimer s & Dementia. 20(S8). 2 indexed citations
6.
Hu, Zhijian, Fangming Zhang, Max Brenner, Asha Jacob, & Ping Wang. (2023). The protective effect of H151, a novel STING inhibitor, in renal ischemia-reperfusion-induced acute kidney injury. American Journal of Physiology-Renal Physiology. 324(6). F558–F567. 14 indexed citations
7.
Jin, Hui, Monowar Aziz, Atsushi Murao, et al.. (2023). Antigen-presenting aged neutrophils induce CD4+ T cells to exacerbate inflammation in sepsis. Journal of Clinical Investigation. 133(14). 26 indexed citations
8.
Chaung, Wayne, et al.. (2023). Human cell-expressed tag-free rhMFG-E8 as an effective radiation mitigator. Scientific Reports. 13(1). 22186–22186. 3 indexed citations
9.
Brenner, Max, et al.. (2022). A novel eCIRP/TREM-1 pathway inhibitor attenuates acute kidney injury. Surgery. 172(2). 639–647. 13 indexed citations
10.
Bolourani, Siavash, et al.. (2022). The role of eCIRP in bleomycin-induced pulmonary fibrosis in mice. PLoS ONE. 17(4). e0266163–e0266163. 8 indexed citations
11.
Tan, Chuyi, Atsushi Murao, Yongchan Lee, et al.. (2022). Active Release of eCIRP via Gasdermin D Channels to Induce Inflammation in Sepsis. The Journal of Immunology. 208(9). 2184–2195. 27 indexed citations
12.
Bolourani, Siavash, Max Brenner, Ping Wang, et al.. (2021). A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation. Journal of Medical Internet Research. 23(2). e24246–e24246. 69 indexed citations
13.
Bolourani, Siavash, Max Brenner, & Ping Wang. (2021). The interplay of DAMPs, TLR4, and proinflammatory cytokines in pulmonary fibrosis. Journal of Molecular Medicine. 99(10). 1373–1384. 68 indexed citations
14.
Murao, Atsushi, Monowar Aziz, Haichao Wang, Max Brenner, & Ping Wang. (2021). Release mechanisms of major DAMPs. APOPTOSIS. 26(3-4). 152–162. 374 indexed citations breakdown →
15.
Chen, Kehong, et al.. (2021). Extracellular CIRP activates STING to exacerbate hemorrhagic shock. JCI Insight. 6(14). 29 indexed citations
16.
Bolourani, Siavash, et al.. (2021). Extracellular CIRP Induces an Inflammatory Phenotype in Pulmonary Fibroblasts via TLR4. Frontiers in Immunology. 12. 721970–721970. 19 indexed citations
17.
Last, J. I., et al.. (2020). MFG-E8-derived peptide attenuates inflammation and injury after renal ischemia-reperfusion in mice. Heliyon. 6(12). e05794–e05794. 6 indexed citations
18.
Zhang, Fangming, Max Brenner, Weng‐Lang Yang, & Ping Wang. (2018). A cold-inducible RNA-binding protein (CIRP)-derived peptide attenuates inflammation and organ injury in septic mice. Scientific Reports. 8(1). 3052–3052. 50 indexed citations
19.
Laragione, Teresina, Max Brenner, Barbara Sherry, et al.. (2007). The Arthritis Severity Quantitative Trait Loci Cia4 and Cia6 Regulate Neutrophil Migration into Inflammatory Sites and Levels of TNF-α and Nitric Oxide. The Journal of Immunology. 178(4). 2344–2351. 13 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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