M Suchan

3.1k total citations
11 papers, 122 citations indexed

About

M Suchan is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, M Suchan has authored 11 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Oncology. Recurrent topics in M Suchan's work include CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). M Suchan is often cited by papers focused on CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). M Suchan collaborates with scholars based in Germany and Slovakia. M Suchan's co-authors include Uğur Şahin, Martin Löwer, Özlem Türeci, David Weber, Mathias Vormehr, Jan D. Beck, Fulvia Vascotto, Jason Koval, Patrick Sorn and Urs Lahrmann and has published in prestigious journals such as Nature Biotechnology, Cancer Cell and PLoS Computational Biology.

In The Last Decade

M Suchan

8 papers receiving 119 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Suchan Germany 6 65 60 46 18 12 11 122
Sean-Luc Shanahan United States 4 64 1.0× 63 1.1× 60 1.3× 15 0.8× 10 0.8× 6 135
Jenying Deng United States 3 36 0.6× 72 1.2× 49 1.1× 17 0.9× 9 0.8× 5 120
Duygu Ozmadenci United States 4 75 1.2× 48 0.8× 52 1.1× 27 1.5× 4 0.3× 7 152
Dalia K. Omran United States 7 48 0.7× 62 1.0× 112 2.4× 16 0.9× 8 0.7× 8 158
William A. Nyberg United States 6 61 0.9× 31 0.5× 29 0.6× 10 0.6× 6 0.5× 10 117
Charles Mulligan United States 5 25 0.4× 65 1.1× 51 1.1× 15 0.8× 5 0.4× 5 127
Grace H. Attrill Australia 6 39 0.6× 88 1.5× 95 2.1× 22 1.2× 7 0.6× 11 143
Andrea Breitkreuz Germany 4 40 0.6× 53 0.9× 50 1.1× 12 0.7× 10 0.8× 5 96
Katherine M. McIntire United States 6 59 0.9× 95 1.6× 42 0.9× 5 0.3× 23 1.9× 8 170
Leandra Cole United States 3 54 0.8× 78 1.3× 46 1.0× 17 0.9× 4 0.3× 7 112

Countries citing papers authored by M Suchan

Since Specialization
Citations

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

Fields of papers citing papers by M Suchan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Suchan

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

All Works

11 of 11 papers shown
1.
Lang, Franziska, Patrick Sorn, M Suchan, et al.. (2024). Prediction of tumor-specific splicing from somatic mutations as a source of neoantigen candidates. Bioinformatics Advances. 4(1). vbae080–vbae080. 2 indexed citations
2.
Beck, Jan D., Mustafa Diken, M Suchan, et al.. (2024). Long-lasting mRNA-encoded interleukin-2 restores CD8+ T cell neoantigen immunity in MHC class I-deficient cancers. Cancer Cell. 42(4). 568–582.e11. 34 indexed citations
3.
Suchan, M, et al.. (2024). Trans-amplifying RNA expressing functional miRNA mediates target gene suppression and simultaneous transgene expression. Molecular Therapy — Nucleic Acids. 35(2). 102162–102162. 4 indexed citations
5.
Suchan, M, et al.. (2023). Advantages of endoscopic transsphenoidal pituitary gland tumor surgery. Bratislavské lekárske listy/Bratislava medical journal. 125(1). 38–41.
6.
Weber, David, Jonas Ibn-Salem, Patrick Sorn, et al.. (2022). Accurate detection of tumor-specific gene fusions reveals strongly immunogenic personal neo-antigens. Nature Biotechnology. 40(8). 1276–1284. 34 indexed citations
7.
Birtel, Matthias, Ralf-Holger Voss, Katharina Reinhard, et al.. (2022). A TCR-like CAR Promotes Sensitive Antigen Recognition and Controlled T-cell Expansion Upon mRNA Vaccination. Cancer Research Communications. 2(8). 827–841. 16 indexed citations
8.
Becker, Julia Powers, Jos de Graaf, Martin Löwer, et al.. (2020). Integrative analysis of structural variations using short-reads and linked-reads yields highly specific and sensitive predictions. PLoS Computational Biology. 16(11). e1008397–e1008397. 6 indexed citations
9.
Vormehr, Mathias, Katharina Reinhard, Jan D. Beck, et al.. (2018). A non-functional neoepitope specific CD8+ T-cell response induced by tumor derived antigen exposure in vivo. OncoImmunology. 8(3). 1553478–1553478. 13 indexed citations
10.
Suchan, M, et al.. (2016). Immune-mediated cochleovestibular disease. Bratislavské lekárske listy/Bratislava medical journal. 116(2). 87–90. 12 indexed citations
11.
Suchan, M, et al.. (1956). [Investigations on effects of alcohol on receptivity of erythrocyte group agglutinogens in vitro].. PubMed. 95(7). 187–93. 1 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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