Marco Y. Hein
- Molecular Biology top 0.2%
- Metabolomics and Mass Spectrometry Studies 3
- Single-cell and spatial transcriptomics 3
- Bioinformatics and Genomic Networks 3
- RNA Research and Splicing 3
- Machine Learning in Bioinformatics 2
- Cell Biology top 0.2%
- Cellular transport and secretion 4
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications 7
- Aging top 1%
- Immunology top 2%
- interferon and immune responses 2
- Co-authors
- Matthias MannJürgen CoxNagarjuna NagarajPavel SinitcynTamar GeigerStefka TyanovaChristian A. LuberIgor Paron
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Marco Y. Hein
28 papers receiving 15.7k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 11.1k
- Cell Biology 2.2k
- Spectroscopy 1.7k
- Aging 182
- Immunology 1.4k
Countries citing papers authored by Marco Y. Hein
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
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
The 25 scholars most cited alongside Marco Y. Hein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 12 | |
| 2 | 2021 | 32 | |
| 3 | 2021 | 56 | |
| 4 | MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indicesbreakdown → | 2019 | 340 |
| 5 | 2019 | 109 | |
| 6 | A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Responsebreakdown → | 2016 | 690 |
| 7 | 2015 | 170 | |
| 8 | A Liquid-to-Solid Phase Transition of the ALS Protein FUS Accelerated by Disease Mutationbreakdown → | 2015 | 2097 |
| 9 | A Human Interactome in Three Quantitative Dimensions Organized by Stoichiometries and Abundancesbreakdown → | 2015 | 905 |
| 10 | 2015 | 82 | |
| 11 | 2014 | 186 | |
| 12 | 2014 | 22 | |
| 13 | A “Proteomic Ruler” for Protein Copy Number and Concentration Estimation without Spike-in Standardsbreakdown → | 2014 | 463 |
| 14 | 2014 | 39 | |
| 15 | 2013 | 77 | |
| 16 | 2013 | 90 | |
| 17 | 2013 | 34 | |
| 18 | 2013 | 51 | |
| 19 | 2013 | 260 | |
| 20 | Decoding Human Cytomegalovirusbreakdown → | 2012 | 454 |
About Marco Y. Hein
Marco Y. Hein is a scholar working on Aging, Cell Biology and Spectroscopy, having authored 28 papers that have together received 15.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Cellular transport and secretion (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Single-cell and spatial transcriptomics (3 papers), Bioinformatics and Genomic Networks (3 papers), RNA Research and Splicing (3 papers), interferon and immune responses (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Molecular Biology (11.1k citations), Cell Biology (2.2k citations) and Spectroscopy (1.7k citations). Marco Y. Hein has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Matthias Mann, Jürgen Cox, Nagarjuna Nagaraj, Pavel Sinitcyn, Tamar Geiger, Stefka Tyanova, Christian A. Luber, Igor Paron, Anthony A. Hyman and Ina Poser. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.