Emmanuel Minet

3.2k total citations
35 papers, 2.1k citations indexed

About

Emmanuel Minet is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Emmanuel Minet has authored 35 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Cancer Research and 6 papers in Physiology. Recurrent topics in Emmanuel Minet's work include Cancer, Hypoxia, and Metabolism (13 papers), RNA modifications and cancer (7 papers) and Carcinogens and Genotoxicity Assessment (6 papers). Emmanuel Minet is often cited by papers focused on Cancer, Hypoxia, and Metabolism (13 papers), RNA modifications and cancer (7 papers) and Carcinogens and Genotoxicity Assessment (6 papers). Emmanuel Minet collaborates with scholars based in United Kingdom, Belgium and United States. Emmanuel Minet's co-authors include Carine Michiels, Martine Raes, Denis Mottet, Gaëtan Michel, José Remacle, I. Roland, Jean‐Pascal Piret, Thierry Arnould, Pamela A. Silver and Andrew Baxter and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Emmanuel Minet

35 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel Minet United Kingdom 23 1.2k 1.0k 388 205 205 35 2.1k
Daryl J. Discher United States 13 1.1k 0.9× 543 0.5× 349 0.9× 159 0.8× 110 0.5× 15 1.8k
Lorenza Tacchini Italy 28 1.3k 1.1× 567 0.5× 316 0.8× 163 0.8× 186 0.9× 74 2.8k
Bo Pang China 26 1.2k 1.0× 409 0.4× 160 0.4× 165 0.8× 170 0.8× 96 2.1k
John J. LaPres United States 22 721 0.6× 452 0.4× 192 0.5× 129 0.6× 90 0.4× 46 1.4k
Yue Yu China 25 1.3k 1.1× 707 0.7× 132 0.3× 222 1.1× 340 1.7× 139 2.1k
Weifeng Tang China 26 1.0k 0.8× 581 0.6× 314 0.8× 399 1.9× 493 2.4× 169 2.5k
Donald L. Hamilton Canada 7 1.7k 1.4× 2.1k 2.0× 444 1.1× 175 0.9× 170 0.8× 10 2.9k
Steven T. Okino United States 21 1.4k 1.2× 830 0.8× 113 0.3× 147 0.7× 262 1.3× 29 2.2k
Colin A. Flaveny United States 22 1.2k 1.0× 444 0.4× 251 0.6× 148 0.7× 362 1.8× 34 2.8k

Countries citing papers authored by Emmanuel Minet

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Minet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Minet

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Minet. A scholar is included among the top collaborators of Emmanuel Minet 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 Emmanuel Minet. Emmanuel Minet 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.
Minet, Emmanuel, Linsey E. Haswell, Andrew Baxter, et al.. (2021). Application of text mining to develop AOP-based mucus hypersecretion genesets and confirmation with in vitro and clinical samples. Scientific Reports. 11(1). 6091–6091. 4 indexed citations
2.
Haswell, Linsey E., Andrew Baxter, Jason Adamson, et al.. (2018). In vitro RNA-seq-based toxicogenomics assessment shows reduced biological effect of tobacco heating products when compared to cigarette smoke. Scientific Reports. 8(1). 1145–1145. 31 indexed citations
3.
4.
Murphy, James J., Marianna Gaça, Frazer Lowe, et al.. (2017). Assessing modified risk tobacco and nicotine products: Description of the scientific framework and assessment of a closed modular electronic cigarette. Regulatory Toxicology and Pharmacology. 90. 342–357. 54 indexed citations
5.
Haswell, Linsey E., Andrew Baxter, Jason Adamson, et al.. (2017). Reduced biological effect of e-cigarette aerosol compared to cigarette smoke evaluated in vitro using normalized nicotine dose and RNA-seq-based toxicogenomics. Scientific Reports. 7(1). 888–888. 50 indexed citations
6.
7.
Scherer, Gerhard, et al.. (2014). A correlation study applied to biomarkers of internal and effective dose for acrylonitrile and 4-aminobiphenyl in smokers. Biomarkers. 19(4). 291–301. 14 indexed citations
8.
Minet, Emmanuel, et al.. (2013). Metabolic characterization of cell systems used in in vitro toxicology testing: Lung cell system BEAS-2B as a working example. Toxicology in Vitro. 27(6). 1719–1727. 85 indexed citations
9.
10.
Minet, Emmanuel, Graham Errington, Gerhard Scherer, et al.. (2011). An inter-laboratory comparison of urinary 3-hydroxypropylmercapturic acid measurement demonstrates good reproducibility between laboratories. BMC Research Notes. 4(1). 391–391. 5 indexed citations
11.
Baxter, Andrew, et al.. (2011). CYP1A1/1B1 and CYP2A6/2A13 activity is conserved in cultures of differentiated primary human tracheobronchial epithelial cells. Toxicology in Vitro. 25(4). 922–929. 22 indexed citations
12.
13.
Michel, Gaëtan, Emmanuel Minet, Denis Mottet, José Remacle, & Carine Michiels. (2002). Site-directed mutagenesis studies of the hypoxia-inducible factor-1α DNA-binding domain. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1578(1-3). 73–83. 29 indexed citations
14.
Minet, Emmanuel, Gaëtan Michel, Denis Mottet, Martine Raes, & Carine Michiels. (2001). Transduction pathways involved in Hypoxia-Inducible Factor-1 phosphorylation and activation. Free Radical Biology and Medicine. 31(7). 847–855. 142 indexed citations
15.
Minet, Emmanuel, Gaëtan Michel, Denis Mottet, et al.. (2001). c-JUN Gene Induction and AP-1 Activity Is Regulated by a JNK-Dependent Pathway in Hypoxic HepG2 Cells. Experimental Cell Research. 265(1). 114–124. 78 indexed citations
16.
Michel, Geert, Emmanuel Minet, Isabelle Ernest, et al.. (2000). A Model for the Complex Between the Hypoxia-Inducible Factor-1 (HIF-1) and its Consensus DNA Sequence. Journal of Biomolecular Structure and Dynamics. 18(2). 169–179. 27 indexed citations
17.
Minet, Emmanuel, Thierry Arnould, Gaëtan Michel, et al.. (2000). ERK activation upon hypoxia: involvement in HIF‐1 activation. FEBS Letters. 468(1). 53–58. 324 indexed citations
18.
Roland, Isabelle, Emmanuel Minet, Isabelle Ernest, et al.. (2000). Identification of hypoxia‐responsive messengers expressed in human microvascular endothelial cells using differential display RT‐PCR. European Journal of Biochemistry. 267(12). 3567–3574. 25 indexed citations
19.
Minet, Emmanuel, Isabelle Ernest, Gaëtan Michel, et al.. (1999). HIF1A Gene Transcription Is Dependent on a Core Promoter Sequence Encompassing Activating and Inhibiting Sequences Located Upstream from the Transcription Initiation Site and cis Elements Located within the 5′UTR. Biochemical and Biophysical Research Communications. 261(2). 534–540. 103 indexed citations
20.
Minet, Emmanuel, Denis Mottet, Gaëtan Michel, et al.. (1999). Hypoxia‐induced activation of HIF‐1: role of HIF‐1α‐Hsp90 interaction. FEBS Letters. 460(2). 251–256. 273 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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