Carsten Hopf

10.2k total citations
109 papers, 3.5k citations indexed

About

Carsten Hopf is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Carsten Hopf has authored 109 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 43 papers in Spectroscopy and 14 papers in Physiology. Recurrent topics in Carsten Hopf's work include Mass Spectrometry Techniques and Applications (37 papers), Metabolomics and Mass Spectrometry Studies (33 papers) and Advanced Proteomics Techniques and Applications (21 papers). Carsten Hopf is often cited by papers focused on Mass Spectrometry Techniques and Applications (37 papers), Metabolomics and Mass Spectrometry Studies (33 papers) and Advanced Proteomics Techniques and Applications (21 papers). Carsten Hopf collaborates with scholars based in Germany, United States and United Kingdom. Carsten Hopf's co-authors include Werner Hoch, Sandra Schulz, Gerard Drewes, Bogdan Munteanu, Annabelle Fülöp, Desheng Xu, Paul Worley, Marcus Bantscheff, Simone Schadt and M. Reid Groseclose and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Carsten Hopf

106 papers receiving 3.4k citations

Peers

Carsten Hopf

SPECT

PHYSI

CMN

Carol L. Nilsson Sweden

Vladislav Petyuk United States

Hamid Mirzaei United States

Richard E. Higgs United States

Daniel B. McClatchy United States

Yun Kyung Kim South Korea

Sean J. Humphrey Australia

Yuliang Ma United States

Dominic Winter Germany

Michael D. Knierman United States

Carol L. Nilsson Sweden

Carsten Hopf

1.7k ×0.8

966 ×1.0

SPECT

491 ×0.9

PHYSI

275 ×0.5

CMN

153 ×0.5

Citations per year, relative to Carsten Hopf Carsten Hopf (= 1×) peers Carol L. Nilsson

Countries citing papers authored by Carsten Hopf

Since Specialization

Citations

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

Fields of papers citing papers by Carsten Hopf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carsten Hopf

This figure shows the co-authorship network connecting the top 25 collaborators of Carsten Hopf. A scholar is included among the top collaborators of Carsten Hopf 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 Carsten Hopf. Carsten Hopf 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

Grzybowski, Marcin, Angelika Muchowicz, Tomasz Rejczak, et al.. (2025). Metabolomic reprogramming of the tumor microenvironment by dual arginase inhibitor OATD-02 boosts anticancer immunity. Scientific Reports. 15(1). 18741–18741. 4 indexed citations

Müller, Elisabeth, Thomas Enzlein, Katherine A. Stumpo, et al.. (2025). Exploring the Aβ Plaque Microenvironment in Alzheimer’s Disease Model Mice by Multimodal Lipid-Protein-Histology Imaging on a Benchtop Mass Spectrometer. Pharmaceuticals. 18(2). 252–252. 2 indexed citations

Enzlein, Thomas, et al.. (2024). pyM2aia: Python interface for mass spectrometry imaging with focus on deep learning. Bioinformatics. 40(3). 2 indexed citations

Burghaus, Ina, Tobias Keßler, Felix Sahm, et al.. (2024). PerSurge (NOA-30) phase II trial of perampanel treatment around surgery in patients with progressive glioblastoma. BMC Cancer. 24(1). 135–135. 26 indexed citations

Gerovska, Daniela, Guangming Wu, Daniel Jiménez-Blasco, et al.. (2024). TET3 regulates terminal cell differentiation at the metabolic level. Nature Communications. 15(1). 9749–9749. 2 indexed citations

Tian, Ye, S. Schmidt, Sergii Afonin, et al.. (2024). High‐Throughput Miniaturized Synthesis of PROTAC‐Like Molecules. Small. 20(26). e2307215–e2307215. 9 indexed citations

Huber, Joan L., Andrea Lewen, S. Schmidt, et al.. (2024). Mass‐Guided Single‐Cell MALDI Imaging of Low‐Mass Metabolites Reveals Cellular Activation Markers. Advanced Science. 12(5). e2410506–e2410506. 5 indexed citations

Schmidt, S., et al.. (2024). Label-free assessment of complement-dependent cytotoxicity of therapeutic antibodies via a whole-cell MALDI mass spectrometry bioassay. Scientific Reports. 14(1). 21462–21462.

Schmidt, S., Cleo‐Aron Weis, Emrullah Birgin, et al.. (2023). Spatial Omics Imaging of Fresh-Frozen Tissue and Routine FFPE Histopathology of a Single Cancer Needle Core Biopsy: A Freezing Device and Multimodal Workflow. Cancers. 15(10). 2676–2676. 4 indexed citations

10.

Sammour, Denis Abu, Tobias Boskamp, Christian Marsching, et al.. (2023). Spatial probabilistic mapping of metabolite ensembles in mass spectrometry imaging. Nature Communications. 14(1). 1823–1823. 10 indexed citations

11.

Enzlein, Thomas, Shuyu Chen, Sam Lismont, et al.. (2023). APP substrate ectodomain defines amyloid‐β peptide length by restraining γ‐secretase processivity and facilitating product release. The EMBO Journal. 42(23). e114372–e114372. 7 indexed citations

12.

Schmidt, S., Yanchen Wu, Fei Wang, et al.. (2022). Nanoliter Scale Parallel Liquid–Liquid Extraction for High‐Throughput Purification on a Droplet Microarray. Small. 19(9). 14 indexed citations

13.

Fülöp, Annabelle, et al.. (2022). Device-Controlled Microcondensation for Spatially Confined On-Tissue Digests in MALDI Imaging of N-Glycans. Pharmaceuticals. 15(11). 1356–1356. 5 indexed citations

14.

Hitzenberger, Manuel, Sam Lismont, Katarzyna Marta Zoltowska, et al.. (2022). Enzyme–substrate interface targeting by imidazole‐based γ‐secretase modulators activates γ‐secretase and stabilizes its interaction with APP. The EMBO Journal. 41(21). e111084–e111084. 10 indexed citations

15.

Michno, Wojciech, Thomas Enzlein, Melissa K. Passarelli, et al.. (2021). Following spatial Aβ aggregation dynamics in evolving Alzheimer’s disease pathology by imaging stable isotope labeling kinetics. Science Advances. 7(25). 24 indexed citations

16.

Balluff, Benjamin, Carsten Hopf, Tiffany Porta Siegel, Heike I. Grabsch, & Ron M. A. Heeren. (2021). Batch Effects in MALDI Mass Spectrometry Imaging. Journal of the American Society for Mass Spectrometry. 32(3). 628–635. 33 indexed citations

17.

Popova, Anna A., et al.. (2021). Fast Nanoliter‐Scale Cell Assays Using Droplet Microarray–Mass Spectrometry Imaging. Advanced Biology. 5(3). e2000279–e2000279. 22 indexed citations

18.

Michno, Wojciech, Christian Marsching, Karolina Minta, et al.. (2021). Structural amyloid plaque polymorphism is associated with distinct lipid accumulations revealed by trapped ion mobility mass spectrometry imaging. Journal of Neurochemistry. 160(4). 482–498. 25 indexed citations

19.

Purves, Randy W., et al.. (2020). Fast Quantification Without Conventional Chromatography, The Growing Power of Mass Spectrometry. Analytical Chemistry. 92(13). 8628–8637. 20 indexed citations

20.

Marsching, Christian, Mariona Rabionet, Daniel Mathow, et al.. (2014). Renal sulfatides: sphingoid base-dependent localization and region-specific compensation of CerS2-dysfunction. Journal of Lipid Research. 55(11). 2354–2369. 23 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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