Marco Y. Hein

26.7k total citations · 8 hit papers
28 papers, 15.8k citations indexed

About

Marco Y. Hein is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Marco Y. Hein has authored 28 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Cell Biology and 7 papers in Spectroscopy. Recurrent topics in Marco Y. Hein's work include Advanced Proteomics Techniques and Applications (7 papers), Cellular transport and secretion (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Marco Y. Hein is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Cellular transport and secretion (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Marco Y. Hein collaborates with scholars based in Germany, United States and United Kingdom. Marco Y. Hein's co-authors include Matthias Mann, Jürgen Cox, Nagarjuna Nagaraj, Tamar Geiger, Pavel Sinitcyn, Stefka Tyanova, Igor Paron, Christian A. Luber, Anthony A. Hyman and Ina Poser and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Marco Y. Hein

28 papers receiving 15.7k citations

Hit Papers

The Perseus computational platform for comprehensive anal... 2012 2026 2016 2021 2016 2014 2015 2015 2016 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Y. Hein Germany 24 11.1k 2.2k 1.7k 1.4k 1.3k 28 15.8k
Leonard J. Foster Canada 62 9.7k 0.9× 2.1k 1.0× 2.0k 1.2× 1.4k 1.0× 1.4k 1.0× 314 15.9k
Stefka Tyanova Germany 17 7.7k 0.7× 1.5k 0.7× 2.2k 1.3× 1.1k 0.8× 834 0.6× 25 11.8k
Tamar Geiger Israel 43 8.9k 0.8× 1.6k 0.7× 2.7k 1.6× 1.1k 0.8× 767 0.6× 100 12.8k
Nagarjuna Nagaraj Germany 30 11.9k 1.1× 2.0k 0.9× 4.5k 2.6× 1.3k 0.9× 1.0k 0.8× 39 17.2k
Jens Andersen Denmark 69 12.7k 1.1× 2.7k 1.2× 2.0k 1.2× 1.2k 0.8× 1.7k 1.2× 190 20.2k
W. Hayes McDonald United States 55 8.6k 0.8× 2.0k 0.9× 1.7k 1.0× 691 0.5× 883 0.7× 138 11.3k
Juan Antonio Vizcaíno United Kingdom 42 9.8k 0.9× 1.3k 0.6× 3.5k 2.0× 1.1k 0.8× 851 0.6× 127 14.4k
Albert Sickmann Germany 72 11.0k 1.0× 1.6k 0.7× 3.1k 1.8× 914 0.6× 789 0.6× 320 15.9k
Joshua E. Elias United States 43 12.2k 1.1× 1.8k 0.8× 4.6k 2.7× 1.2k 0.8× 1.2k 0.9× 97 16.3k
Boris Maček Germany 55 10.7k 1.0× 1.6k 0.7× 3.6k 2.1× 1.1k 0.7× 916 0.7× 203 14.7k

Countries citing papers authored by Marco Y. Hein

Since Specialization
Citations

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

Fields of papers citing papers by Marco Y. Hein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Y. Hein. 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 Marco Y. Hein. The network helps show where Marco Y. Hein may publish in the future.

Co-authorship network of co-authors of Marco Y. Hein

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Y. Hein. A scholar is included among the top collaborators of Marco Y. Hein 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 Marco Y. Hein. Marco Y. Hein 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.
Sunshine, Sara, Andreas S. Puschnik, Joseph M. Replogle, et al.. (2023). Systematic functional interrogation of SARS-CoV-2 host factors using Perturb-seq. Nature Communications. 14(1). 6245–6245. 12 indexed citations
2.
Kaya-Çopur, Aynur, Marco Y. Hein, Daniel Alpern, et al.. (2021). The Hippo pathway controls myofibril assembly and muscle fiber growth by regulating sarcomeric gene expression. eLife. 10. 32 indexed citations
3.
Hein, Marco Y. & Jonathan S. Weissman. (2021). Functional single-cell genomics of human cytomegalovirus infection. Nature Biotechnology. 40(3). 391–401. 56 indexed citations
4.
McGinnis, Christopher S., David M. Patterson, Juliane Winkler, et al.. (2019). MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices. Nature Methods. 16(7). 619–626. 340 indexed citations breakdown →
5.
Tyanova, Stefka, Pavel Sinitcyn, Marco Y. Hein, et al.. (2016). The Perseus computational platform for comprehensive analysis of (prote)omics data. Nature Methods. 13(9). 731–740. 5384 indexed citations breakdown →
6.
Ma‐Lauer, Yue, Javier Carbajo-Lozoya, Marco Y. Hein, et al.. (2016). p53 down-regulates SARS coronavirus replication and is targeted by the SARS-unique domain and PL pro via E3 ubiquitin ligase RCHY1. Proceedings of the National Academy of Sciences. 113(35). E5192–201. 164 indexed citations
7.
Adamson, Britt, Thomas M. Norman, Marco Jost, et al.. (2016). A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response. Cell. 167(7). 1867–1882.e21. 690 indexed citations breakdown →
8.
Räschle, Markus, Godelieve Smeenk, Yasuyoshi Oka, et al.. (2015). Proteomics reveals dynamic assembly of repair complexes during bypass of DNA cross-links. Science. 348(6234). 1253671–1253671. 170 indexed citations
9.
Patel, Avinash, Hyun O. Lee, Louise Jawerth, et al.. (2015). A Liquid-to-Solid Phase Transition of the ALS Protein FUS Accelerated by Disease Mutation. Cell. 162(5). 1066–1077. 2097 indexed citations breakdown →
10.
Keilhauer, Eva C., Marco Y. Hein, & Matthias Mann. (2014). Accurate Protein Complex Retrieval by Affinity Enrichment Mass Spectrometry (AE-MS) Rather than Affinity Purification Mass Spectrometry (AP-MS). Molecular & Cellular Proteomics. 14(1). 120–135. 186 indexed citations
11.
Bunkenborg, Jakob, Marco Y. Hein, Valeria Viscardi, et al.. (2014). TheCaenorhabditiseleganspericentriolar material components SPD-2 and SPD-5 are monomeric in the cytoplasm before incorporation into the PCM matrix. Molecular Biology of the Cell. 25(19). 2984–2992. 22 indexed citations
12.
Wiśniewski, Jacek R., Marco Y. Hein, Jürgen Cox, & Matthias Mann. (2014). A “Proteomic Ruler” for Protein Copy Number and Concentration Estimation without Spike-in Standards. Molecular & Cellular Proteomics. 13(12). 3497–3506. 463 indexed citations breakdown →
13.
Borner, Georg H. H., Marco Y. Hein, Jennifer Hirst, et al.. (2014). Fractionation profiling: a fast and versatile approach for mapping vesicle proteomes and protein–protein interactions. Molecular Biology of the Cell. 25(20). 3178–3194. 39 indexed citations
14.
Starokadomskyy, Petro, Nathan Gluck, Haiying Li, et al.. (2013). CCDC22 deficiency in humans blunts activation of proinflammatory NF-κB signaling. Journal of Clinical Investigation. 123(5). 2244–2256. 77 indexed citations
15.
Hirst, Jennifer, Georg H. H. Borner, James R. Edgar, et al.. (2013). Interaction between AP-5 and the hereditary spastic paraplegia proteins SPG11 and SPG15. Molecular Biology of the Cell. 24(16). 2558–2569. 90 indexed citations
16.
Vahl, J. Christoph, Klaus Heger, Marco Y. Hein, et al.. (2013). NKT Cell-TCR Expression Activates Conventional T Cells in Vivo, but Is Largely Dispensable for Mature NKT Cell Biology. PLoS Biology. 11(6). e1001589–e1001589. 34 indexed citations
17.
Bassik, Michael C., Martin Kampmann, Robert Jan Lebbink, et al.. (2013). A Systematic Mammalian Genetic Interaction Map Reveals Pathways Underlying Ricin Susceptibility. Cell. 152(4). 909–922. 260 indexed citations
18.
Zanivan, Sara, Federica Maione, Marco Y. Hein, et al.. (2013). SILAC-Based Proteomics of Human Primary Endothelial Cell Morphogenesis Unveils Tumor Angiogenic Markers. Molecular & Cellular Proteomics. 12(12). 3599–3611. 51 indexed citations
19.
Stern‐Ginossar, Noam, Ben Weisburd, Annette Michalski, et al.. (2012). Decoding Human Cytomegalovirus. Science. 338(6110). 1088–1093. 454 indexed citations breakdown →
20.
Frost, Adam, Marc Elgort, Onn Brandman, et al.. (2012). Functional Repurposing Revealed by Comparing S. pombe and S. cerevisiae Genetic Interactions. Cell. 149(6). 1339–1352. 126 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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