David Millrine

1.0k total citations
18 papers, 696 citations indexed

About

David Millrine is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, David Millrine has authored 18 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Immunology. Recurrent topics in David Millrine's work include Cytokine Signaling Pathways and Interactions (5 papers), Peptidase Inhibition and Analysis (4 papers) and Ubiquitin and proteasome pathways (4 papers). David Millrine is often cited by papers focused on Cytokine Signaling Pathways and Interactions (5 papers), Peptidase Inhibition and Analysis (4 papers) and Ubiquitin and proteasome pathways (4 papers). David Millrine collaborates with scholars based in United Kingdom, Japan and Saudi Arabia. David Millrine's co-authors include Tadamitsu Kishimoto, Praveen Kumar Dubey, Kishan Kumar Nyati, Hamza Hanieh, Joshua Peter, Yogesh Kulathu, Barry Ripley, Taisuke Nakahama, Ichino Chinen and Kamal Chowdhury and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

David Millrine

18 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Millrine United Kingdom 14 400 192 137 107 67 18 696
Zheng-Hao Piao South Korea 13 340 0.8× 264 1.4× 91 0.7× 162 1.5× 44 0.7× 22 651
Yan‐Lai Tang China 16 404 1.0× 108 0.6× 136 1.0× 109 1.0× 94 1.4× 50 722
Chahrazade Kantari France 7 416 1.0× 285 1.5× 74 0.5× 94 0.9× 36 0.5× 9 804
Yueping Sun China 12 330 0.8× 257 1.3× 192 1.4× 101 0.9× 84 1.3× 20 718
Regina A. Clemens United States 15 317 0.8× 379 2.0× 117 0.9× 55 0.5× 36 0.5× 22 791
Rhiannon Morris Australia 7 265 0.7× 271 1.4× 269 2.0× 52 0.5× 78 1.2× 11 784
Pattabhiraman Shankaranarayanan France 14 531 1.3× 134 0.7× 102 0.7× 104 1.0× 67 1.0× 17 770
Miguel Luz Soares Portugal 11 575 1.4× 159 0.8× 57 0.4× 57 0.5× 62 0.9× 22 717
Sheri L. Bonar United States 13 455 1.1× 262 1.4× 152 1.1× 263 2.5× 33 0.5× 15 763
Adiratna Mat Ripen Malaysia 15 273 0.7× 450 2.3× 100 0.7× 52 0.5× 23 0.3× 34 820

Countries citing papers authored by David Millrine

Since Specialization
Citations

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

Fields of papers citing papers by David Millrine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Millrine

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

All Works

18 of 18 papers shown
1.
Peter, Joshua, David Millrine, Joby Varghese, et al.. (2024). The UFM1 E3 ligase recognizes and releases 60S ribosomes from ER translocons. Nature. 627(8003). 437–444. 23 indexed citations
2.
Millrine, David, Ana Cardus Figueras, Robert Andrews, et al.. (2023). Th1 Cells Alter the Inflammatory Signature of IL-6 by Channeling STAT Transcription Factors to Alu-like Retroelements. The Journal of Immunology. 211(2). 274–286. 4 indexed citations
3.
Millrine, David, Joshua Peter, & Yogesh Kulathu. (2023). A guide to UFMylation, an emerging posttranslational modification. FEBS Journal. 290(21). 5040–5056. 32 indexed citations
4.
Peter, Joshua, Paul A. DaRosa, David Millrine, et al.. (2022). A non‐canonical scaffold‐type E3 ligase complex mediates protein UFMylation. The EMBO Journal. 41(21). e111015–e111015. 48 indexed citations
5.
Millrine, David, S. Matthews, Joshua Peter, et al.. (2022). Human UFSP1 is an active protease that regulates UFM1 maturation and UFMylation. Cell Reports. 40(5). 111168–111168. 39 indexed citations
6.
Millrine, David, et al.. (2021). Making sense of IL‐6 signalling cues in pathophysiology. FEBS Letters. 596(5). 567–588. 18 indexed citations
7.
Millrine, David, et al.. (2018). Tracking Competent Host Defence to Chronic Inflammation: An In Vivo Model of Peritonitis. Methods in molecular biology. 1725. 65–75. 1 indexed citations
8.
Millrine, David, et al.. (2018). Humanized cereblon mice revealed two distinct therapeutic pathways of immunomodulatory drugs. Proceedings of the National Academy of Sciences. 115(46). 11802–11807. 57 indexed citations
9.
Nyati, Kishan Kumar, Kazuya Masuda, Mohammad Mahabub-Uz Zaman, et al.. (2017). TLR4-induced NF-κB and MAPK signaling regulate the IL-6 mRNA stabilizing protein Arid5a. Nucleic Acids Research. 45(5). 2687–2703. 144 indexed citations
10.
Millrine, David & Tadamitsu Kishimoto. (2017). A Brighter Side to Thalidomide: Its Potential Use in Immunological Disorders. Trends in Molecular Medicine. 23(4). 348–361. 63 indexed citations
11.
Dubey, Praveen Kumar, Kazuya Masuda, Kishan Kumar Nyati, et al.. (2017). Arid5a-deficient mice are highly resistant to bleomycin-induced lung injury. International Immunology. 29(2). 79–85. 14 indexed citations
12.
Millrine, David, Haruhiko Miyata, Praveen Kumar Dubey, et al.. (2016). Immunomodulatory drugs inhibit TLR4-induced type-1 interferon production independently of Cereblon via suppression of the TRIF/IRF3 pathway. International Immunology. 28(6). 307–315. 25 indexed citations
13.
Millrine, David, et al.. (2016). Rabex-5 is a lenalidomide target molecule that negatively regulates TLR-induced type 1 IFN production. Proceedings of the National Academy of Sciences. 113(38). 10625–10630. 13 indexed citations
14.
Chinen, Ichino, Taisuke Nakahama, Akihiro Kimura, et al.. (2015). The aryl hydrocarbon receptor/microRNA-212/132 axis in T cells regulates IL-10 production to maintain intestinal homeostasis. International Immunology. 27(8). 405–415. 73 indexed citations
15.
Staudt, Nicole, et al.. (2014). A panel of recombinant monoclonal antibodies against zebrafish neural receptors and secreted proteins suitable for wholemount immunostaining. Biochemical and Biophysical Research Communications. 456(1). 527–533. 13 indexed citations
16.
Lee, So-Young, Barry Ripley, Ichino Chinen, David Millrine, & Tadamitsu Kishimoto. (2014). 111. Cytokine. 70(1). 54–54. 3 indexed citations
17.
Lee, So-Young, Barry Ripley, Ichino Chinen, David Millrine, & Tadamitsu Kishimoto. (2014). Aryl hydrocarbon receptor negatively regulates type I interferon production and the development of murine lupus (CCR1P.245). The Journal of Immunology. 192(Supplement_1). 48.5–48.5. 2 indexed citations
18.
Nakahama, Taisuke, Hamza Hanieh, Nam‐Trung Nguyen, et al.. (2013). Aryl hydrocarbon receptor-mediated induction of the microRNA-132/212 cluster promotes interleukin-17–producing T-helper cell differentiation. Proceedings of the National Academy of Sciences. 110(29). 11964–11969. 124 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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