Manuel C. Scheidmann

2.2k total citations · 2 hit papers
7 papers, 1.5k citations indexed

About

Manuel C. Scheidmann is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Manuel C. Scheidmann has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Manuel C. Scheidmann's work include Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (5 papers) and 3D Printing in Biomedical Research (3 papers). Manuel C. Scheidmann is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (5 papers) and 3D Printing in Biomedical Research (3 papers). Manuel C. Scheidmann collaborates with scholars based in Switzerland. Manuel C. Scheidmann's co-authors include Nicola Aceto, Francesc Castro-Giner, Barbara M. Szczerba, Ilona Krol, Sofia Gkountela, Ramona Scherrer, Viola Heinzelmann‐Schwarz, Marcus Vetter, Christoph Rochlitz and Christian Kurzeder and has published in prestigious journals such as Nature, Cell and Cancer Research.

In The Last Decade

Manuel C. Scheidmann

7 papers receiving 1.5k citations

Hit Papers

Neutrophils escort circulating tumour cells to enable cel... 2019 2026 2021 2023 2019 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel C. Scheidmann Switzerland 6 1.0k 637 538 381 273 7 1.5k
Julia Landin Switzerland 5 1.0k 1.0× 632 1.0× 520 1.0× 381 1.0× 256 0.9× 7 1.5k
Cinzia Donato Switzerland 12 837 0.8× 536 0.8× 427 0.8× 360 0.9× 234 0.9× 21 1.4k
Irène Baccelli Germany 10 1.1k 1.1× 687 1.1× 613 1.1× 211 0.6× 237 0.9× 16 1.6k
Stefanie Mullins United States 13 766 0.7× 312 0.5× 491 0.9× 301 0.8× 221 0.8× 18 1.3k
Alberto Fusi Germany 21 909 0.9× 491 0.8× 599 1.1× 362 1.0× 136 0.5× 53 1.5k
Pedro Corrêa de Sampaio United States 11 837 0.8× 434 0.7× 558 1.0× 418 1.1× 148 0.5× 12 1.3k
Xueqian Zhuang China 9 527 0.5× 395 0.6× 673 1.3× 257 0.7× 128 0.5× 10 1.2k
Laure Cayrefourcq France 19 1.1k 1.0× 831 1.3× 412 0.8× 165 0.4× 184 0.7× 34 1.4k
Amber E. de Groot United States 8 520 0.5× 252 0.4× 510 0.9× 287 0.8× 222 0.8× 12 1.1k
Shinya Neri Japan 19 1.1k 1.0× 366 0.6× 562 1.0× 341 0.9× 143 0.5× 36 1.7k

Countries citing papers authored by Manuel C. Scheidmann

Since Specialization
Citations

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

Fields of papers citing papers by Manuel C. Scheidmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel C. Scheidmann. 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 Manuel C. Scheidmann. The network helps show where Manuel C. Scheidmann may publish in the future.

Co-authorship network of co-authors of Manuel C. Scheidmann

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel C. Scheidmann. A scholar is included among the top collaborators of Manuel C. Scheidmann 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 Manuel C. Scheidmann. Manuel C. Scheidmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Schwab, Fabienne D., Manuel C. Scheidmann, André Kling, et al.. (2022). MyCTC chip: microfluidic-based drug screen with patient-derived tumour cells from liquid biopsies. Microsystems & Nanoengineering. 8(1). 130–130. 17 indexed citations
2.
Scheidmann, Manuel C., Francesc Castro-Giner, Karin Strittmatter, et al.. (2021). An In Vivo CRISPR Screen Identifies Stepwise Genetic Dependencies of Metastatic Progression. Cancer Research. 82(4). 681–694. 18 indexed citations
3.
Szczerba, Barbara M., Francesc Castro-Giner, Marcus Vetter, et al.. (2019). Neutrophils escort circulating tumour cells to enable cell cycle progression. Nature. 566(7745). 553–557. 886 indexed citations breakdown →
4.
Gkountela, Sofia, Francesc Castro-Giner, Barbara M. Szczerba, et al.. (2019). Circulating Tumor Cell Clustering Shapes DNA Methylation to Enable Metastasis Seeding. Cell. 176(1-2). 98–112.e14. 608 indexed citations breakdown →
5.
Donato, Cinzia, Barbara M. Szczerba, Manuel C. Scheidmann, Francesc Castro-Giner, & Nicola Aceto. (2019). Micromanipulation of Circulating Tumor Cells for Downstream Molecular Analysis and Metastatic Potential Assessment. Journal of Visualized Experiments. 9 indexed citations
6.
Donato, Cinzia, et al.. (2019). Micromanipulation of Circulating Tumor Cells for Downstream Molecular Analysis and Metastatic Potential Assessment. Journal of Visualized Experiments. 1 indexed citations
7.
Castro-Giner, Francesc, Manuel C. Scheidmann, & Nicola Aceto. (2018). Beyond Enumeration: Functional and Computational Analysis of Circulating Tumor Cells to Investigate Cancer Metastasis. Frontiers in Medicine. 5. 34–34. 10 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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