André Melnik

755 total citations
9 papers, 539 citations indexed

About

André Melnik is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, André Melnik has authored 9 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cell Biology and 2 papers in Physiology. Recurrent topics in André Melnik's work include RNA modifications and cancer (2 papers), Mitochondrial Function and Pathology (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). André Melnik is often cited by papers focused on RNA modifications and cancer (2 papers), Mitochondrial Function and Pathology (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). André Melnik collaborates with scholars based in Switzerland, United Kingdom and Hungary. André Melnik's co-authors include Paola Picotti, Martin Soste, Paul J. Boersema, Abdullah Kahraman, Ana Paula Oliveira, Yaroslav Nikolaev, Yuehan Feng, Giorgia De Franceschi, Patrizia Polverino de Laureto and Matthias Peter and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Nature Methods.

In The Last Decade

André Melnik

9 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
André Melnik Switzerland	6	459	172	76	41	37	9	539
Moritz Heusel Switzerland	13	566 1.2×	354 2.1×	106 1.4×	34 0.8×	24 0.6×	17	715
Shubin Ren Germany	4	600 1.3×	292 1.7×	75 1.0×	66 1.6×	39 1.1×	4	680
Yaroslav Nikolaev Switzerland	10	453 1.0×	163 0.9×	37 0.5×	15 0.4×	56 1.5×	15	556
Colin Combe United Kingdom	7	411 0.9×	156 0.9×	59 0.8×	18 0.4×	43 1.2×	11	478
Markus Böesche Germany	7	419 0.9×	307 1.8×	49 0.6×	20 0.5×	15 0.4×	9	517
Dominic C. M. Ng United States	15	439 1.0×	240 1.4×	51 0.7×	27 0.7×	12 0.3×	25	595
Ilan E. Chemmama United States	10	433 0.9×	124 0.7×	111 1.5×	25 0.6×	77 2.1×	15	522
Athit Kao United States	11	456 1.0×	456 2.7×	133 1.8×	45 1.1×	117 3.2×	13	700
Zhen-Lin Chen China	5	287 0.6×	106 0.6×	55 0.7×	17 0.4×	28 0.8×	6	385
Matthew The Germany	14	522 1.1×	382 2.2×	22 0.3×	37 0.9×	12 0.3×	27	652

Countries citing papers authored by André Melnik

Since Specialization

Citations

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

Fields of papers citing papers by André Melnik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Melnik

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

All Works

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9 of 9 papers shown

Melnik, André, Valentina Cappelletti, Federico Vaggi, et al.. (2020). Comparative analysis of the intracellular responses to disease-related aggregation-prone proteins. Journal of Proteomics. 225. 103862–103862. 1 indexed citations

Szabó, István, et al.. (2020). Combining data integration and molecular dynamics for target identification in α-Synuclein-aggregating neurodegenerative diseases: Structural insights on Synaptojanin-1 (Synj1). Computational and Structural Biotechnology Journal. 18. 1032–1042. 2 indexed citations

Montellese, Christian, André Melnik, Stefanie Jonas, et al.. (2020). USP16 counteracts mono-ubiquitination of RPS27a and promotes maturation of the 40S ribosomal subunit. eLife. 9. 35 indexed citations

Boersema, Paul J., André Melnik, Bouke P. C. Hazenberg, et al.. (2018). Biology/Disease-Driven Initiative on Protein-Aggregation Diseases of the Human Proteome Project: Goals and Progress to Date. Journal of Proteome Research. 17(12). 4072–4084. 3 indexed citations

Kellner, Vanessa, André Melnik, Caroline Wilson-Zbinden, et al.. (2016). The Replisome-Coupled E3 Ubiquitin Ligase Rtt101Mms22 Counteracts Mrc1 Function to Tolerate Genotoxic Stress. PLoS Genetics. 12(2). e1005843–e1005843. 32 indexed citations

Kanfer, Gil, Thibault Courthéoux, Martin Peterka, et al.. (2015). Mitotic redistribution of the mitochondrial network by Miro and Cenp-F. Nature Communications. 6(1). 8015–8015. 85 indexed citations

Feng, Yuehan, Giorgia De Franceschi, Abdullah Kahraman, et al.. (2014). Global analysis of protein structural changes in complex proteomes. Nature Biotechnology. 32(10). 1036–1044. 286 indexed citations

Soste, Martin, Stefanie Wanka, André Melnik, et al.. (2014). A sentinel protein assay for simultaneously quantifying cellular processes. Nature Methods. 11(10). 1045–1048. 49 indexed citations

Altvater, Martin, Yiming Chang, André Melnik, et al.. (2012). Targeted proteomics reveals compositional dynamics of 60S pre‐ribosomes after nuclear export. Molecular Systems Biology. 8(1). 628–628. 46 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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