Erwin M. Schoof

4.5k total citations · 1 hit paper
63 papers, 1.7k citations indexed

About

Erwin M. Schoof is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Erwin M. Schoof has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 21 papers in Spectroscopy and 9 papers in Cell Biology. Recurrent topics in Erwin M. Schoof's work include Advanced Proteomics Techniques and Applications (20 papers), Mass Spectrometry Techniques and Applications (7 papers) and Single-cell and spatial transcriptomics (6 papers). Erwin M. Schoof is often cited by papers focused on Advanced Proteomics Techniques and Applications (20 papers), Mass Spectrometry Techniques and Applications (7 papers) and Single-cell and spatial transcriptomics (6 papers). Erwin M. Schoof collaborates with scholars based in Denmark, United States and Germany. Erwin M. Schoof's co-authors include Rune Linding, Pau Creixell, Bo Porse, Janine T. Erler, Benjamin Furtwängler, Nil Üresin, Nicolas Rapin, John E. Dick, Ulrich auf dem Keller and Valdemaras Petrosius and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Erwin M. Schoof

59 papers receiving 1.7k 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.

Quantitative single-cell proteomics as a tool to characterize cellular hierarchies

2021 225 citations Erwin M. Schoof, Benjamin Furtwängler et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erwin M. Schoof Denmark	23	1.2k	368	182	157	145	63	1.7k
Rebekah L. Gundry United States	23	1.5k 1.2×	586 1.6×	97 0.5×	215 1.4×	124 0.9×	70	2.1k
Christoph Stingl Netherlands	25	1.2k 1.0×	783 2.1×	123 0.7×	167 1.1×	75 0.5×	63	1.9k
Emily S. Boja United States	28	1.6k 1.3×	639 1.7×	154 0.8×	148 0.9×	188 1.3×	48	2.4k
Ida Chiara Guerrera France	26	981 0.8×	194 0.5×	139 0.8×	78 0.5×	147 1.0×	96	1.8k
Salvatore Sechi United States	17	1.4k 1.1×	546 1.5×	176 1.0×	164 1.0×	250 1.7×	27	2.0k
Gregory J. Mize United States	14	1.8k 1.4×	1.1k 3.0×	176 1.0×	234 1.5×	87 0.6×	20	2.5k
Dawn Maynard United States	16	1.4k 1.1×	1.0k 2.7×	233 1.3×	294 1.9×	123 0.8×	23	2.3k
Tobias Schmidt Germany	14	1.5k 1.2×	737 2.0×	167 0.9×	187 1.2×	101 0.7×	18	2.0k
Philip R. Gafken United States	29	2.7k 2.2×	366 1.0×	236 1.3×	257 1.6×	252 1.7×	50	3.4k
Sergei A. Moshkovskii Russia	21	972 0.8×	424 1.2×	123 0.7×	139 0.9×	127 0.9×	91	1.4k

Countries citing papers authored by Erwin M. Schoof

Since Specialization

Citations

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

Fields of papers citing papers by Erwin M. Schoof

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erwin M. Schoof. 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 Erwin M. Schoof. The network helps show where Erwin M. Schoof may publish in the future.

Co-authorship network of co-authors of Erwin M. Schoof

This figure shows the co-authorship network connecting the top 25 collaborators of Erwin M. Schoof. A scholar is included among the top collaborators of Erwin M. Schoof 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 Erwin M. Schoof. Erwin M. Schoof 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

Rivera‐de‐Torre, Esperanza, Jakob Berg Jespersen, Wesley Williams, et al.. (2025). InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments. Nature Machine Intelligence. 7(4). 565–579. 7 indexed citations

Savickas, Simonas, Jacek Mikosiński, Erwin M. Schoof, et al.. (2024). High-Throughput and High-Sensitivity Biomarker Monitoring in Body Fluid by Fast LC SureQuant IS-Targeted Quantitation. Molecular & Cellular Proteomics. 23(12). 100868–100868.

Arribas‐Hernández, Laura, Marlene Reichel, Simon Bressendorff, et al.. (2024). Evidence for an RNAi-independent role of Arabidopsis DICER-LIKE2 in growth inhibition and basal antiviral resistance. The Plant Cell. 36(6). 2289–2309. 10 indexed citations

Schoof, Erwin M., et al.. (2024). CLIPPER 2.0: Peptide-Level Annotation and Data Analysis for Positional Proteomics. Molecular & Cellular Proteomics. 23(6). 100781–100781. 10 indexed citations

Petrosius, Valdemaras, Nil Üresin, Benjamin Furtwängler, et al.. (2023). Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition. Nature Communications. 14(1). 5910–5910. 44 indexed citations

Rieneck, Klaus, Erwin M. Schoof, Frederik Banch Clausen, et al.. (2023). Hunting for the elusive target antigen in gestational alloimmune liver disease (GALD). PLoS ONE. 18(10). e0286432–e0286432. 2 indexed citations

Gillberg, Linn, Carmen P. Montano‐Almendras, Simonas Savickas, et al.. (2023). Loss of the KN Motif and AnKyrin Repeat Domain 1 (KANK1) Leads to Lymphoid Compartment Dysregulation in Murine Model. Genes. 14(10). 1947–1947. 1 indexed citations

Rafaeva, Maria, Edward R. Horton, Lutz Fleischhauer, et al.. (2023). Fibroblast-derived matrix models desmoplastic properties and forms a prognostic signature in cancer progression. Frontiers in Immunology. 14. 1154528–1154528. 16 indexed citations

Furtwängler, Benjamin, Nil Üresin, Romain Huguet, et al.. (2022). Ultra-high sensitivity proteomics for precision oncology. Molecular & Cellular Proteomics. 21(8). 100290–100290. 1 indexed citations

10.

Theilgaard‐Mönch, Kim, Sachin Pundhir, Kristian Reckzeh, et al.. (2022). Transcription factor-driven coordination of cell cycle exit and lineage-specification in vivo during granulocytic differentiation. Nature Communications. 13(1). 3595–3595. 23 indexed citations

11.

Rehn, Matilda, Anne Wenzel, Anne-Katrine Frank, et al.. (2022). PTBP1 promotes hematopoietic stem cell maintenance and red blood cell development by ensuring sufficient availability of ribosomal constituents. Cell Reports. 39(6). 110793–110793. 8 indexed citations

12.

Petrosius, Valdemaras, Jan Benada, Olaf Nielsen, Erwin M. Schoof, & Claus Storgaard Sørensen. (2022). Temporal phosphoproteomics reveals WEE1-dependent control of 53BP1 pathway. iScience. 26(1). 105806–105806. 5 indexed citations

13.

Yeung, Ching‐Yan Chloé, Frank Dondelinger, Erwin M. Schoof, et al.. (2022). Circadian regulation of protein cargo in extracellular vesicles. Science Advances. 8(14). eabc9061–eabc9061. 44 indexed citations

14.

Jansson, Martin, Sophia Häfner, Disa Tehler, et al.. (2021). Regulation of translation by site-specific ribosomal RNA methylation. Nature Structural & Molecular Biology. 28(11). 889–899. 63 indexed citations

15.

Ahmadi, Shirin, Manuela B. Pucca, Jonas A. Jürgensen, et al.. (2020). An in vitro methodology for discovering broadly-neutralizing monoclonal antibodies. Scientific Reports. 10(1). 10765–10765. 41 indexed citations

16.

Leth, Maria Louise, Claus Sternberg, Erwin M. Schoof, et al.. (2020). Loss of AA13 LPMOs impairs degradation of resistant starch and reduces the growth of Aspergillus nidulans. Biotechnology for Biofuels. 13(1). 135–135. 10 indexed citations

17.

Pucca, Manuela B., Shirin Ahmadi, Felipe A. Cerni, et al.. (2020). Unity Makes Strength: Exploring Intraspecies and Interspecies Toxin Synergism between Phospholipases A2 and Cytotoxins. Frontiers in Pharmacology. 11. 611–611. 37 indexed citations

18.

Inkster, Becky, Andy Simmons, James H. Cole, et al.. (2018). Unravelling the GSK3β-related genotypic interaction network influencing hippocampal volume in recurrent major depressive disorder. Psychiatric Genetics. 28(5). 77–84. 6 indexed citations

19.

Pundhir, Sachin, Felicia Kathrine Bratt Lauridsen, Mikkel Bruhn Schuster, et al.. (2018). Enhancer and Transcription Factor Dynamics during Myeloid Differentiation Reveal an Early Differentiation Block in Cebpa null Progenitors. Cell Reports. 23(9). 2744–2757. 42 indexed citations

20.

Creixell, Pau, Erwin M. Schoof, Chris Soon Heng Tan, & Rune Linding. (2012). Mutational properties of amino acid residues: implications for evolvability of phosphorylatable residues. Philosophical Transactions of the Royal Society B Biological Sciences. 367(1602). 2584–2593. 37 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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