Alain Sewer

7.2k total citations · 1 hit paper
46 papers, 2.6k citations indexed

About

Alain Sewer is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Alain Sewer has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Cancer Research and 12 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Alain Sewer's work include Air Quality and Health Impacts (9 papers), MicroRNA in disease regulation (9 papers) and Gene Regulatory Network Analysis (7 papers). Alain Sewer is often cited by papers focused on Air Quality and Health Impacts (9 papers), MicroRNA in disease regulation (9 papers) and Gene Regulatory Network Analysis (7 papers). Alain Sewer collaborates with scholars based in Switzerland, Germany and United States. Alain Sewer's co-authors include Manuel C. Peitsch, Mihaela Zavolan, Julia Hoeng, Florian Martin, Sébastien Pfeffer, Thomas Tuschl, Robert P. Sheridan, Linda F. van Dyk, Viviana Simon and Friedrich A. Grässer and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Nature Methods.

In The Last Decade

Alain Sewer

46 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identification of microRNAs of the herpesvirus family

2005 896 citations Sébastien Pfeffer, Alain Sewer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alain Sewer Switzerland	25	1.5k	1.1k	393	356	347	46	2.6k
Jennifer Beane United States	22	1.2k 0.8×	616 0.6×	92 0.2×	270 0.8×	114 0.3×	52	2.7k
Xun Zhu China	35	1.7k 1.1×	872 0.8×	34 0.1×	155 0.4×	418 1.2×	82	3.6k
Mohammad Jamaluddin United States	29	1.1k 0.7×	615 0.6×	25 0.1×	210 0.6×	996 2.9×	47	2.9k
David T. Kiang United States	34	1.2k 0.8×	522 0.5×	46 0.1×	74 0.2×	631 1.8×	87	3.5k
Shan Lü China	21	974 0.6×	226 0.2×	30 0.1×	103 0.3×	261 0.8×	87	1.9k
Laurence A. Marchat Mexico	28	1.3k 0.9×	552 0.5×	18 0.0×	111 0.3×	179 0.5×	114	2.3k
Guoping Zhou China	20	941 0.6×	559 0.5×	25 0.1×	87 0.2×	324 0.9×	88	2.4k
Constantin E. Orfanos Germany	23	956 0.6×	168 0.2×	53 0.1×	159 0.4×	404 1.2×	34	2.9k
Jung Min Kim South Korea	28	1.3k 0.8×	308 0.3×	17 0.0×	84 0.2×	342 1.0×	93	2.6k
Parimal Samir United States	20	2.8k 1.8×	336 0.3×	25 0.1×	112 0.3×	543 1.6×	42	4.0k

Countries citing papers authored by Alain Sewer

Since Specialization

Citations

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

Fields of papers citing papers by Alain Sewer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alain Sewer

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

All Works

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20 of 20 papers shown

Sewer, Alain, et al.. (2024). Quantitative modeling of in vitro data using an adverse outcome pathway for the risk assessment of decreased lung function in humans. Toxicology Letters. 393. 107–113. 2 indexed citations

Talikka, Marja, Alain Sewer, Nicolas Sierro, et al.. (2023). Tobacco Alkaloid Assessment in a DSS-Induced Colitis Mouse Model with a Fully Humanized Immune System. International Journal of Molecular Sciences. 24(7). 6419–6419. 4 indexed citations

Sasso, Giuseppe Lo, Blaine Phillips, Alain Sewer, et al.. (2020). The reduction of DSS-induced colitis severity in mice exposed to cigarette smoke is linked to immune modulation and microbial shifts. Scientific Reports. 10(1). 3829–3829. 28 indexed citations

Ruiz, Pedro A., Ulrike Kogel, Giuseppe Lo Sasso, et al.. (2020). Anatabine ameliorates intestinal inflammation and reduces the production of pro-inflammatory factors in a dextran sulfate sodium mouse model of colitis. Journal of Inflammation. 17(1). 29–29. 13 indexed citations

Sewer, Alain, Filippo Zanetti, Anita R. Iskandar, et al.. (2020). A meta-analysis of microRNAs expressed in human aerodigestive epithelial cultures and their role as potential biomarkers of exposure response to nicotine-containing products. Toxicology Reports. 7. 1282–1295. 3 indexed citations

Zanetti, Filippo, Alain Sewer, Bjoern Titz, et al.. (2019). Assessment of a 72-hour repeated exposure to Swedish snus extract and total particulate matter from 3R4F cigarette smoke on gingival organotypic cultures. Food and Chemical Toxicology. 125. 252–270. 9 indexed citations

Iskandar, Anita R., Florian Martin, Patrice Leroy, et al.. (2018). Comparative biological impacts of an aerosol from carbon-heated tobacco and smoke from cigarettes on human respiratory epithelial cultures: A systems toxicology assessment. Food and Chemical Toxicology. 115. 109–126. 27 indexed citations

Toorn, Marco van der, Alain Sewer, Diego Marescotti, et al.. (2018). The biological effects of long-term exposure of human bronchial epithelial cells to total particulate matter from a candidate modified-risk tobacco product. Toxicology in Vitro. 50. 95–108. 25 indexed citations

Iskandar, Anita R., Bjoern Titz, Alain Sewer, et al.. (2017). Systems toxicology meta-analysis of in vitro assessment studies: biological impact of a candidate modified-risk tobacco product aerosol compared with cigarette smoke on human organotypic cultures of the aerodigestive tract. Toxicology Research. 6(5). 631–653. 19 indexed citations

10.

Iskandar, Anita R., Florian Martin, Walter K. Schlage, et al.. (2017). Comparative effects of a candidate modified-risk tobacco product Aerosol and cigarette smoke on human organotypic small airway cultures: a systems toxicology approach. Toxicology Research. 6(6). 930–946. 20 indexed citations

11.

Zanetti, Filippo, Alain Sewer, Carole Mathis, et al.. (2016). Systems Toxicology Assessment of the Biological Impact of a Candidate Modified Risk Tobacco Product on Human Organotypic Oral Epithelial Cultures. Chemical Research in Toxicology. 29(8). 1252–1269. 47 indexed citations

12.

Zanetti, Filippo, Bjoern Titz, Alain Sewer, et al.. (2016). Comparative systems toxicology analysis of cigarette smoke and aerosol from a candidate modified risk tobacco product in organotypic human gingival epithelial cultures: A 3-day repeated exposure study. Food and Chemical Toxicology. 101. 15–35. 42 indexed citations

13.

Titz, Bjoern, Alain Sewer, Thomas Schneider, et al.. (2015). Alterations in the sputum proteome and transcriptome in smokers and early-stage COPD subjects. Journal of Proteomics. 128. 306–320. 55 indexed citations

14.

Martin, Florian, Alain Sewer, Marja Talikka, et al.. (2014). Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models. BMC Bioinformatics. 15(1). 238–238. 74 indexed citations

15.

Sewer, Alain, Ulrike Kogel, Emilija Veljkovic, et al.. (2014). Assessment of a novel multi-array normalization method based on spike-in control probes suitable for microRNA datasets with global decreases in expression. BMC Research Notes. 7(1). 302–302. 10 indexed citations

16.

Hoeng, Julia, Marja Talikka, Florian Martin, et al.. (2013). Case study: the role of mechanistic network models in systems toxicology. Drug Discovery Today. 19(2). 183–192. 49 indexed citations

17.

Hermida, Leandro C., Carine Poussin, Michael Stadler, et al.. (2013). Confero: an integrated contrast data and gene set platform for computational analysis and biological interpretation of omics data. BMC Genomics. 14(1). 514–514. 14 indexed citations

18.

Thomson, Ty M., Alain Sewer, Florian Martin, et al.. (2013). Quantitative assessment of biological impact using transcriptomic data and mechanistic network models. Toxicology and Applied Pharmacology. 272(3). 863–878. 46 indexed citations

19.

Martin, Florian, Ty M. Thomson, Alain Sewer, et al.. (2012). Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks. BMC Systems Biology. 6(1). 54–54. 76 indexed citations

20.

Sewer, Alain, Nicodème Paul, Pablo Landgraf, et al.. (2005). Identification of clustered microRNAs using an ab initio prediction method. BMC Bioinformatics. 6(1). 267–267. 198 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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