Manfred Claassen

7.1k total citations · 1 hit paper
98 papers, 3.6k citations indexed

About

Manfred Claassen is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Manfred Claassen has authored 98 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 28 papers in Electrical and Electronic Engineering and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Manfred Claassen's work include Semiconductor Quantum Structures and Devices (18 papers), Radio Frequency Integrated Circuit Design (17 papers) and Single-cell and spatial transcriptomics (16 papers). Manfred Claassen is often cited by papers focused on Semiconductor Quantum Structures and Devices (18 papers), Radio Frequency Integrated Circuit Design (17 papers) and Single-cell and spatial transcriptomics (16 papers). Manfred Claassen collaborates with scholars based in Germany, Switzerland and United States. Manfred Claassen's co-authors include Ruedi Aebersold, Alexander Schmidt, Martin Beck, Franz Herzog, Eirini Arvaniti, Axel R. Pries, Klaus Ley, P. Gaehtgens, Anna Szymborska and Oliver Rinner and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Manfred Claassen

91 papers receiving 3.5k 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.

The quantitative proteome of a human cell line

2011 618 citations Alexander Schmidt, Manfred Claassen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manfred Claassen Germany	23	2.0k	933	304	293	291	98	3.6k
László Szilágyi Hungary	34	2.4k 1.2×	435 0.5×	282 0.9×	255 0.9×	136 0.5×	310	5.3k
John Jumper United States	15	4.1k 2.0×	415 0.4×	143 0.5×	335 1.1×	144 0.5×	24	5.7k
Johannes Schuchhardt Germany	22	4.5k 2.2×	707 0.8×	543 1.8×	101 0.3×	152 0.5×	63	6.3k
Lisa H. Cazares United States	30	2.2k 1.1×	2.0k 2.1×	149 0.5×	73 0.2×	285 1.0×	87	3.7k
Thang V. Pham Netherlands	35	2.2k 1.1×	694 0.7×	241 0.8×	57 0.2×	236 0.8×	134	3.4k
Hannes Röst United States	30	4.8k 2.3×	3.2k 3.4×	274 0.9×	108 0.4×	200 0.7×	66	6.7k
Philipp E. Geyer Germany	25	2.2k 1.1×	1.7k 1.8×	203 0.7×	62 0.2×	206 0.7×	38	4.1k
Vésteinn Thórsson United States	20	3.3k 1.6×	388 0.4×	611 2.0×	116 0.4×	148 0.5×	44	4.9k
Haiyuan Yu United States	42	8.2k 4.0×	441 0.5×	274 0.9×	241 0.8×	177 0.6×	129	9.9k
Lars Malmström Sweden	33	2.7k 1.3×	1.3k 1.4×	150 0.5×	109 0.4×	115 0.4×	100	3.8k

Countries citing papers authored by Manfred Claassen

Since Specialization

Citations

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

Fields of papers citing papers by Manfred Claassen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manfred Claassen

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

Festl‐Wietek, Teresa, et al.. (2025). Exploring the social dimensions of AI integration in healthcare: a qualitative study of stakeholder views on challenges and opportunities. BMJ Open. 15(6). e096208–e096208. 2 indexed citations

Festl‐Wietek, Teresa, Wolfgang Fuhl, Manfred Claassen, et al.. (2024). Assessing AI Awareness and Identifying Essential Competencies: Insights From Key Stakeholders in Integrating AI Into Medical Education. JMIR Medical Education. 10. e58355–e58355. 11 indexed citations

Green, Benjamin L., Yuta Myojin, Chi Ma, et al.. (2023). Immunosuppressive CD29 ⁺ Treg accumulation in the liver in mice on checkpoint inhibitor therapy. Gut. 73(3). 509–520. 7 indexed citations

Lee, Sung Sik, Gilad Yaakov, Mariona Nadal‐Ribelles, et al.. (2023). Positive feedback induces switch between distributive and processive phosphorylation of Hog1. Nature Communications. 14(1). 2477–2477. 6 indexed citations

Claassen, Manfred, et al.. (2023). A review on deep learning applications in highly multiplexed tissue imaging data analysis. SHILAP Revista de lepidopterología. 3. 1159381–1159381. 14 indexed citations

Claassen, Manfred, et al.. (2023). Corrigendum: A review on deep learning applications in highly multiplexed tissue imaging data analysis. SHILAP Revista de lepidopterología. 3. 1287407–1287407. 1 indexed citations

Pezoldt, Joern, Riccardo Dainese, Antonius Chrisnandy, et al.. (2022). Deterministic scRNA-seq captures variation in intestinal crypt and organoid composition. Nature Methods. 19(3). 323–330. 39 indexed citations

Gupta, Revant, et al.. (2022). Simulation-based inference of differentiation trajectories from RNA velocity fields. Cell Reports Methods. 2(12). 100359–100359. 10 indexed citations

Gaißler, Andrea, Sepideh Babaei, Siri Tvingsholm, et al.. (2022). Dynamics of Melanoma-Associated Epitope-Specific CD8+ T Cells in the Blood Correlate With Clinical Outcome Under PD-1 Blockade. Frontiers in Immunology. 13. 906352–906352. 2 indexed citations

10.

Claassen, Manfred, et al.. (2021). Visualizing hierarchies in scRNA-seq data using a density tree-biased\n autoencoder. arXiv (Cornell University). 3 indexed citations

11.

Taylor‐King, Jake P., Asbjørn Nilsen Riseth, Will Macnair, & Manfred Claassen. (2020). Dynamic distribution decomposition for single-cell snapshot time series identifies subpopulations and trajectories during iPSC reprogramming. PLoS Computational Biology. 16(1). e1007491–e1007491. 2 indexed citations

12.

Wirsching, Hans‐Georg, Manuela Silginer, Will Macnair, et al.. (2020). Negative allosteric modulators of metabotropic glutamate receptor 3 target the stem-like phenotype of glioblastoma. Molecular Therapy — Oncolytics. 20. 166–174. 5 indexed citations

13.

Shi, Chun‐Lin, Daniel von Wangenheim, Ullrich Herrmann, et al.. (2018). The dynamics of root cap sloughing in Arabidopsis is regulated by peptide signalling. Nature Plants. 4(8). 596–604. 58 indexed citations

14.

Ganscha, Stefan, Abdullah Kahraman, Valentina Cappelletti, et al.. (2017). Cell-wide analysis of protein thermal unfolding reveals determinants of thermostability. Science. 355(6327). 298 indexed citations

15.

Schütz, Monika, Philipp Oberhettinger, Médéric Diard, et al.. (2016). Epitope-Tagged Autotransporters as Single-Cell Reporters for Gene Expression by a Salmonella Typhimurium wbaP Mutant. PLoS ONE. 11(5). e0154828–e0154828. 3 indexed citations

16.

Arvaniti, Eirini & Manfred Claassen. (2014). Markov network structure learning via ensemble-of-forests models. Uncertainty in Artificial Intelligence. 42–51. 2 indexed citations

17.

Ludwig, Christina, Manfred Claassen, Alexander Schmidt, & Ruedi Aebersold. (2011). Estimation of Absolute Protein Quantities of Unlabeled Samples by Selected Reaction Monitoring Mass Spectrometry. Molecular & Cellular Proteomics. 11(3). M111.013987–M111.013987. 104 indexed citations

18.

Claassen, Manfred, Lukas Reiter, Michael O. Hengartner, Joachim M. Buhmann, & Ruedi Aebersold. (2011). Generic Comparison of Protein Inference Engines. Molecular & Cellular Proteomics. 11(4). O110.007088–O110.007088. 22 indexed citations

19.

Claassen, Manfred, Ruedi Aebersold, & Joachim M. Buhmann. (2009). Proteome coverage prediction with infinite Markov models. Bioinformatics. 25(12). i154–i160. 15 indexed citations

20.

Ahmad, Shiekh Tanveer, et al.. (1977). Simple method of determining the large-signal negative resistance of baritt diodes. 1(4). 130–132.

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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