Michael Gilbert

1.5k total citations · 1 hit paper
24 papers, 958 citations indexed

About

Michael Gilbert is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Michael Gilbert has authored 24 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Oncology. Recurrent topics in Michael Gilbert's work include Cancer-related Molecular Pathways (5 papers), BRCA gene mutations in cancer (4 papers) and Epigenetics and DNA Methylation (4 papers). Michael Gilbert is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), BRCA gene mutations in cancer (4 papers) and Epigenetics and DNA Methylation (4 papers). Michael Gilbert collaborates with scholars based in Germany, United States and Australia. Michael Gilbert's co-authors include Ute Hamann, Kahealani Uehara, Zachary T. Schug, Luke Izzo, Steven Zhao, Cholsoon Jang, Joshua D. Rabinowitz, T. Gade, Joyce Liu and Kathryn E. Wellen and has published in prestigious journals such as Nature, Cell and Molecular Cell.

In The Last Decade

Michael Gilbert

24 papers receiving 944 citations

Hit Papers

Dietary fructose feeds hepatic lipogenesis via microbiota... 2020 2026 2022 2024 2020 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
Michael Gilbert Germany 12 513 220 220 195 182 24 958
Emma Hudson United Kingdom 14 1.1k 2.1× 249 1.1× 311 1.4× 173 0.9× 62 0.3× 30 1.7k
Minoru Iwata Japan 21 741 1.4× 327 1.5× 336 1.5× 287 1.5× 275 1.5× 44 1.4k
Kim I. Tilly United States 20 880 1.7× 150 0.7× 89 0.4× 113 0.6× 221 1.2× 25 2.0k
Charlotte Hinault France 18 655 1.3× 97 0.4× 227 1.0× 196 1.0× 221 1.2× 29 1.2k
Winston Chu United States 17 472 0.9× 358 1.6× 364 1.7× 91 0.5× 181 1.0× 22 1.1k
Jinbo Han China 11 521 1.0× 232 1.1× 220 1.0× 81 0.4× 56 0.3× 20 1.1k
Dong-Ju Shin United States 11 355 0.7× 254 1.2× 145 0.7× 202 1.0× 62 0.3× 16 881
Lisa K. Johnson United States 7 578 1.1× 328 1.5× 240 1.1× 133 0.7× 44 0.2× 14 993
Shadab A. Siddiqi United States 19 564 1.1× 210 1.0× 189 0.9× 247 1.3× 61 0.3× 33 1.3k
Chiara Gabbi United States 18 330 0.6× 145 0.7× 94 0.4× 155 0.8× 113 0.6× 34 867

Countries citing papers authored by Michael Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gilbert

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gilbert. A scholar is included among the top collaborators of Michael Gilbert 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 Michael Gilbert. Michael Gilbert 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.
Tran, Khoa, Michael Gilbert, Berta N. Vázquez, et al.. (2025). SIRT7 regulates NUCKS1 chromatin binding to elicit metabolic and inflammatory gene expression in senescence and liver aging. Molecular Cell. 85(12). 2390–2408.e6. 2 indexed citations
2.
Gilbert, Michael, Karl M. Glastad, Lindsay K. Pino, et al.. (2025). Neuropeptides specify and reprogram division of labor in the leafcutter ant Atta cephalotes. Cell. 188(15). 3974–3991.e21. 3 indexed citations
3.
Zhang, Jingchao, et al.. (2024). Distinct H3K9me3 heterochromatin maintenance dynamics govern different gene programmes and repeats in pluripotent cells. Nature Cell Biology. 26(12). 2115–2128. 3 indexed citations
4.
Torres, Diana, Ignacio Briceño, Michael Gilbert, et al.. (2023). Native American ancestry and breast cancer risk in Colombian and Mexican women: ruling out potential confounding through ancestry-informative markers. Breast Cancer Research. 25(1). 111–111. 1 indexed citations
5.
Gilbert, Michael, et al.. (2020). GC-MS Guide to Ignitable Liquids. 2 indexed citations
6.
Gilbert, Michael, et al.. (2020). GC-MS Guide to Ignitable Liquids. 3 indexed citations
7.
Zhao, Steven, Cholsoon Jang, Joyce Liu, et al.. (2020). Dietary fructose feeds hepatic lipogenesis via microbiota-derived acetate. Nature. 579(7800). 586–591. 388 indexed citations breakdown →
9.
Tian, Xiao, Katherine R. Doerig, Alice Can Ran Qin, et al.. (2018). Evolution of telomere maintenance and tumour suppressor mechanisms across mammals. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1741). 20160443–20160443. 63 indexed citations
10.
Tan, Li, Zhonghe Ke, Gregory Tombline, et al.. (2017). Naked Mole Rat Cells Have a Stable Epigenome that Resists iPSC Reprogramming. Stem Cell Reports. 9(5). 1721–1734. 57 indexed citations
11.
Ashton, Katie A., Anthony Proietto, Geoffrey Otton, et al.. (2010). Polymorphisms in genes of the steroid hormone biosynthesis and metabolism pathways and endometrial cancer risk. Cancer Epidemiology. 34(3). 328–337. 49 indexed citations
12.
Dünnebier, Thomas, Klaus Schlaefer, Michael Gilbert, et al.. (2010). No association of polymorphisms in the cell polarity gene SCRIB with breast cancer risk. Breast Cancer Research and Treatment. 127(1). 259–264. 1 indexed citations
13.
Ashton, Katie A., Anthony Proietto, Geoffrey Otton, et al.. (2009). Polymorphisms in TP53 and MDM2 combined are associated with high grade endometrial cancer. Gynecologic Oncology. 113(1). 109–114. 43 indexed citations
14.
Proietto, Anthony, Geoffrey Otton, Ian Symonds, et al.. (2009). Estrogen receptor polymorphisms and the risk of endometrial cancer. BJOG An International Journal of Obstetrics & Gynaecology. 116(8). 1053–1061. 38 indexed citations
15.
Jakubowska, Anna, Jacek Gronwald, Janusz Menkiszak, et al.. (2009). BRCA1-associated breast and ovarian cancer risks in Poland: no association with commonly studied polymorphisms. Breast Cancer Research and Treatment. 119(1). 201–211. 63 indexed citations
16.
Dünnebier, Thomas, Justo Lorenzo Bermejo, Susanne Haas, et al.. (2009). Polymorphisms in the UBC9 and PIAS3 genes of the SUMO-conjugating system and breast cancer risk. Breast Cancer Research and Treatment. 121(1). 185–194. 25 indexed citations
17.
Dünnebier, Thomas, Justo Lorenzo Bermejo, Susanne Haas, et al.. (2009). Common variants in the UBC9 gene encoding the SUMO‐conjugating enzyme are associated with breast tumor grade. International Journal of Cancer. 125(3). 596–602. 34 indexed citations
18.
Ashton, Katie A., Anthony Proietto, Geoffrey Otton, et al.. (2008). The influence of the Cyclin D1 870 G>A polymorphism as an endometrial cancer risk factor. BMC Cancer. 8(1). 272–272. 10 indexed citations
19.
Delahousse, B., et al.. (2002). Comparative evaluation of five different methods for the measurement of plasma factor II levels in carriers of the 20210A prothrombin variant. Blood Coagulation & Fibrinolysis. 13(5). 465–470. 4 indexed citations
20.
Giese, G., Jochen Schmidt, Michael Gilbert, Richard Albrecht, & Peter Traub. (1997). TPA induces apoptosis in MPC‐11 mouse plasmacytoma cells grown in serum‐free medium. Biology of the Cell. 89(2). 99–111. 9 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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