Florian Schmidt

2.0k total citations
35 papers, 449 citations indexed

About

Florian Schmidt is a scholar working on Molecular Biology, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Florian Schmidt has authored 35 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Sociology and Political Science and 4 papers in Artificial Intelligence. Recurrent topics in Florian Schmidt's work include Genomics and Chromatin Dynamics (14 papers), Single-cell and spatial transcriptomics (8 papers) and Gene expression and cancer classification (7 papers). Florian Schmidt is often cited by papers focused on Genomics and Chromatin Dynamics (14 papers), Single-cell and spatial transcriptomics (8 papers) and Gene expression and cancer classification (7 papers). Florian Schmidt collaborates with scholars based in Germany, Singapore and United Kingdom. Florian Schmidt's co-authors include Marcel H. Schulz, Fabian Kern, Peter Ebert, Yannic Kilcher, Nina Baumgarten, Bobby Ranjan, Shyam Prabhakar, Nirmala Arul Rayan, Markus List and Mohammad Amin Honardoost and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Florian Schmidt

34 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Schmidt Germany 13 226 101 56 56 50 35 449
Jorge L. Contreras United States 13 120 0.5× 46 0.5× 30 0.5× 25 0.4× 36 0.7× 141 612
Tin Trung Nguyen Vietnam 14 161 0.7× 169 1.7× 49 0.9× 95 1.7× 40 0.8× 24 542
J. Leon Zhao China 13 144 0.6× 122 1.2× 50 0.9× 51 0.9× 39 0.8× 29 521
Hubert Hubert Austria 6 59 0.3× 114 1.1× 31 0.6× 58 1.0× 25 0.5× 14 430
Lei Cui China 10 165 0.7× 37 0.4× 52 0.9× 18 0.3× 28 0.6× 35 504
Jianwu Jiang China 12 155 0.7× 32 0.3× 123 2.2× 40 0.7× 34 0.7× 32 556
Wenhong Chen China 10 91 0.4× 75 0.7× 48 0.9× 14 0.3× 16 0.3× 29 611
Xuemei Tian China 14 285 1.3× 53 0.5× 101 1.8× 38 0.7× 22 0.4× 52 775
Hallam Stevens Singapore 10 151 0.7× 68 0.7× 33 0.6× 14 0.3× 21 0.4× 42 508

Countries citing papers authored by Florian Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Florian Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Schmidt

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

All Works

20 of 20 papers shown
1.
Firman, James W., Alan R. Boobis, Heli M. Hollnagel, et al.. (2024). Evaluating the consistency of judgments derived through both in silico and expert application of the Cramer classification scheme. Food and Chemical Toxicology. 194. 115070–115070. 1 indexed citations
2.
Honardoost, Mohammad Amin, Florian Schmidt, Bobby Ranjan, et al.. (2024). Systematic immune cell dysregulation and molecular subtypes revealed by single-cell RNA-seq of subjects with type 1 diabetes. Genome Medicine. 16(1). 45–45. 14 indexed citations
3.
Schmidt, Florian, Kan Xing Wu, Yannick Simoni, et al.. (2023). In-depth analysis of human virus-specific CD8+ T cells delineates unique phenotypic signatures for T cell specificity prediction. Cell Reports. 42(10). 113250–113250. 11 indexed citations
4.
Hoffmann, Markus, Jakub Jankowski, Hye‐Kyung Lee, et al.. (2023). TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors.
5.
Grau, Jan, Florian Schmidt, & Marcel H. Schulz. (2023). Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models. Nucleic Acids Research. 51(18). e95–e95. 8 indexed citations
6.
Hoffmann, Markus, Jakub Jankowski, Hye‐Kyung Lee, et al.. (2022). TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors. GigaScience. 12. 5 indexed citations
7.
Schmidt, Florian, Alexander Marx, Nina Baumgarten, et al.. (2021). Integrative analysis of epigenetics data identifies gene-specific regulatory elements. Nucleic Acids Research. 49(18). 10397–10418. 11 indexed citations
8.
Scherer, Michael, Florian Schmidt, Olga Lazareva, et al.. (2021). Machine learning for deciphering cell heterogeneity and gene regulation. Nature Computational Science. 1(3). 183–191. 14 indexed citations
9.
Ranjan, Bobby, Wenjie Sun, Florian Schmidt, et al.. (2021). DUBStepR is a scalable correlation-based feature selection method for accurately clustering single-cell data. Nature Communications. 12(1). 5849–5849. 43 indexed citations
10.
Ardakani, Fatemeh Behjati, Kathrin Kattler, Tobias Heinen, et al.. (2020). Prediction of single-cell gene expression for transcription factor analysis. GigaScience. 9(11). 12 indexed citations
11.
Schmidt, Florian, Fabian Kern, & Marcel H. Schulz. (2020). Integrative prediction of gene expression with chromatin accessibility and conformation data. Epigenetics & Chromatin. 13(1). 4–4. 21 indexed citations
12.
Schmidt, Florian. (2019). Crowdproduktion von Trainingsdaten: Zur Rolle von Online-Arbeit beim Trainieren autonomer Fahrzeuge. Econstor (Econstor). 417. 9 indexed citations
13.
Nordström, Karl, Florian Schmidt, Nina Gasparoni, et al.. (2019). Unique and assay specific features of NOMe-, ATAC- and DNase I-seq data. Nucleic Acids Research. 47(20). 10580–10596. 26 indexed citations
14.
Schmidt, Florian, Fabian Kern, Peter Ebert, Nina Baumgarten, & Marcel H. Schulz. (2018). TEPIC 2—an extended framework for transcription factor binding prediction and integrative epigenomic analysis. Bioinformatics. 35(9). 1608–1609. 25 indexed citations
15.
Gérard, Déborah, Florian Schmidt, Aurélien Ginolhac, et al.. (2018). Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency. Nucleic Acids Research. 47(3). 1141–1163. 17 indexed citations
16.
Schmidt, Florian & Thomas Hofmann. (2018). Deep State Space Models for Unconditional Word Generation. arXiv (Cornell University). 31. 6158–6168. 1 indexed citations
17.
Schmidt, Florian. (2017). Crowd Design: From Tools for Empowerment to Platform Capitalism. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
18.
Schmidt, Florian, et al.. (2016). The Devil’s Triangle: Ethical Considerations on Developing Bot Detection Methods. National Conference on Artificial Intelligence. 6 indexed citations
19.
Schmidt, Florian, et al.. (2016). Neural Document Embeddings for Intensive Care Patient Mortality Prediction.. arXiv (Cornell University). 1 indexed citations
20.
Schmidt, Florian. (2013). For a Few Dollars More: Class Action against Crowdsourcing. SHILAP Revista de lepidopterología. 2(1). 60–73. 4 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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