Andreas Spitzmüller

634 total citations
7 papers, 143 citations indexed

About

Andreas Spitzmüller is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Andreas Spitzmüller has authored 7 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Andreas Spitzmüller's work include Computational Drug Discovery Methods (3 papers), vaccines and immunoinformatics approaches (2 papers) and Lung Cancer Research Studies (2 papers). Andreas Spitzmüller is often cited by papers focused on Computational Drug Discovery Methods (3 papers), vaccines and immunoinformatics approaches (2 papers) and Lung Cancer Research Studies (2 papers). Andreas Spitzmüller collaborates with scholars based in Germany, Spain and United States. Andreas Spitzmüller's co-authors include Jordi Mestres, Marco Alifano, Moritz Widmaier, Diane Damotte, Brandon W. Higgs, Marie‐Caroline Dieu‐Nosjean, Hélène Kaplon, Tobias Wiestler, Tze Heng Tan and Keith E. Steele and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS Computational Biology.

In The Last Decade

Andreas Spitzmüller

7 papers receiving 138 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Spitzmüller Germany 5 70 43 33 31 28 7 143
Thomas Herz Germany 8 86 1.2× 89 2.1× 23 0.7× 39 1.3× 23 0.8× 11 236
Richard Khanyile South Africa 5 84 1.2× 67 1.6× 7 0.2× 9 0.3× 47 1.7× 12 206
George Alexandru Adam Canada 3 27 0.4× 117 2.7× 92 2.8× 15 0.5× 42 1.5× 4 242
Nitin Sharma United States 8 51 0.7× 197 4.6× 42 1.3× 18 0.6× 33 1.2× 11 325
Fabien Calvo France 7 71 1.0× 72 1.7× 24 0.7× 5 0.2× 91 3.3× 7 214
Kruthi Suvarna Japan 7 28 0.4× 88 2.0× 14 0.4× 13 0.4× 32 1.1× 11 237
Jinfeng Lv China 8 68 1.0× 154 3.6× 21 0.6× 8 0.3× 34 1.2× 28 291
Joseph Hackett United States 7 29 0.4× 195 4.5× 35 1.1× 29 0.9× 37 1.3× 12 304
Zisheng Fan China 9 67 1.0× 172 4.0× 37 1.1× 41 1.3× 8 0.3× 12 228
Elizabeth A. Pilling United Kingdom 6 86 1.2× 65 1.5× 13 0.4× 44 1.4× 15 0.5× 8 177

Countries citing papers authored by Andreas Spitzmüller

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Spitzmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Spitzmüller

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Spitzmüller. A scholar is included among the top collaborators of Andreas Spitzmüller 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 Andreas Spitzmüller. Andreas Spitzmüller 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.
Xie, Mingchao, Andreas Spitzmüller, Harald Hessel, et al.. (2023). 1505 Spatial profiling of the SCLC tumor microenvironment defined by high MHC-I expression reveals association with functionally relevant antigen presentation. SHILAP Revista de lepidopterología. A1669–A1669. 1 indexed citations
2.
Xie, Mingchao, Andreas Spitzmüller, Harald Hessel, et al.. (2022). 155 MHC class I antigen presentation is associated with an inflamed SCLC tumor microenvironment characterized by a higher density of cytotoxic T-cells in closer proximity to tumor cells. Regular and Young Investigator Award Abstracts. A168–A168. 1 indexed citations
3.
Tan, Tze Heng, Andreas Spitzmüller, Tobias Wiestler, et al.. (2019). Automated image analysis of NSCLC biopsies to predict response to anti-PD-L1 therapy. Journal for ImmunoTherapy of Cancer. 7(1). 121–121. 77 indexed citations
4.
Spitzmüller, Andreas, et al.. (2017). MammaPrint versus EndoPredict: Poor correlation in disease recurrence risk classification of hormone receptor positive breast cancer. PLoS ONE. 12(8). e0183458–e0183458. 12 indexed citations
5.
Spitzmüller, Andreas & Jordi Mestres. (2014). Identification of host interactions for phenotypic antimalarial hits. Journal of Cheminformatics. 6(S1). O12–O12. 12 indexed citations
6.
Spitzmüller, Andreas & Jordi Mestres. (2013). Prediction of the P. falciparum Target Space Relevant to Malaria Drug Discovery. PLoS Computational Biology. 9(10). e1003257–e1003257. 31 indexed citations
7.
Spitzmüller, Andreas, et al.. (2011). MiniMuDS: A New Optimizer using Knowledge-Based Potentials Improves Scoring of Docking Solutions. Journal of Chemical Information and Modeling. 51(6). 1423–1430. 9 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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