Tim Kehl

1.6k total citations
26 papers, 1.0k citations indexed

About

Tim Kehl is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Tim Kehl has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Cancer Research and 4 papers in Computational Theory and Mathematics. Recurrent topics in Tim Kehl's work include MicroRNA in disease regulation (10 papers), Bioinformatics and Genomic Networks (8 papers) and Cancer-related molecular mechanisms research (6 papers). Tim Kehl is often cited by papers focused on MicroRNA in disease regulation (10 papers), Bioinformatics and Genomic Networks (8 papers) and Cancer-related molecular mechanisms research (6 papers). Tim Kehl collaborates with scholars based in Germany, United States and Poland. Tim Kehl's co-authors include Hans‐Peter Lenhof, Eckart Meese, Andreas Keller, Christina Backes, Tobias Fehlmann, Fabian Kern, Daniel Stöckel, Nicole Ludwig, Lara Schneider and Martin Hart and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Tim Kehl

26 papers receiving 997 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Kehl Germany 14 732 595 89 47 43 26 1.0k
Giorgos Skoufos Greece 6 958 1.3× 818 1.4× 102 1.1× 42 0.9× 50 1.2× 14 1.2k
Xiaoman Li United States 22 1.1k 1.5× 410 0.7× 126 1.4× 86 1.8× 34 0.8× 58 1.3k
Puwen Tan China 12 1.0k 1.4× 656 1.1× 95 1.1× 20 0.4× 62 1.4× 18 1.2k
Kathy S. Lin United States 6 845 1.2× 652 1.1× 89 1.0× 81 1.7× 43 1.0× 7 1.1k
Jeppe Vinther Denmark 16 975 1.3× 447 0.8× 44 0.5× 81 1.7× 61 1.4× 32 1.1k
Julien Lagarde Spain 9 1.3k 1.7× 743 1.2× 61 0.7× 117 2.5× 40 0.9× 10 1.5k
Charlie Y. Shi United States 5 1.3k 1.7× 1.1k 1.9× 105 1.2× 34 0.7× 47 1.1× 7 1.6k
Idit Kosti United States 16 725 1.0× 185 0.3× 114 1.3× 54 1.1× 74 1.7× 20 1.0k
Lotta Wik Sweden 13 648 0.9× 227 0.4× 77 0.9× 34 0.7× 47 1.1× 16 897
Jürgen Wittmann Germany 19 861 1.2× 381 0.6× 215 2.4× 55 1.2× 75 1.7× 38 1.3k

Countries citing papers authored by Tim Kehl

Since Specialization
Citations

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

Fields of papers citing papers by Tim Kehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Kehl

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Kehl. A scholar is included among the top collaborators of Tim Kehl 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 Tim Kehl. Tim Kehl 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.
Hart, Martin, Caroline Diener, Stefanie Rheinheimer, et al.. (2025). Expanding the immune-related targetome of miR-155-5p by integrating time-resolved RNA patterns into miRNA target prediction. RNA Biology. 22(1). 1–9. 3 indexed citations
2.
Diener, Caroline, Martin Hart, Tim Kehl, et al.. (2023). Time-resolved RNA signatures of CD4+ T cells in Parkinson’s disease. Cell Death Discovery. 9(1). 18–18. 7 indexed citations
3.
Kehl, Tim, et al.. (2022). Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method. Scientific Reports. 12(1). 13458–13458. 14 indexed citations
4.
Menegatti, Jennifer, Nicole Ludwig, Tim Kehl, et al.. (2022). Changes of Protein Expression after CRISPR/Cas9 Knockout of miRNA-142 in Cell Lines Derived from Diffuse Large B-Cell Lymphoma. Cancers. 14(20). 5031–5031. 6 indexed citations
5.
Kehl, Tim, Lara Schneider, Daniel Stöckel, et al.. (2021). GeneTrail: A Framework for the Analysis of High-Throughput Profiles. Frontiers in Molecular Biosciences. 8. 716544–716544. 2 indexed citations
6.
Kehl, Tim, et al.. (2021). MERIDA: a novel Boolean logic-based integer linear program for personalized cancer therapy. Bioinformatics. 37(21). 3881–3888. 6 indexed citations
7.
Kehl, Tim, Susanne Kneitz, Nicole Ludwig, et al.. (2021). The DGCR8 E518K mutation found in Wilms tumors leads to a partial miRNA processing defect that alters gene expression patterns and biological processes. Carcinogenesis. 43(2). 82–93. 7 indexed citations
8.
Kern, Fabian, Ernesto Aparicio‐Puerta, Yongping Li, et al.. (2021). miRTargetLink 2.0—interactive miRNA target gene and target pathway networks. Nucleic Acids Research. 49(W1). W409–W416. 120 indexed citations
9.
Kern, Fabian, Caroline Diener, Tim Kehl, et al.. (2020). Validation of human microRNA target pathways enables evaluation of target prediction tools. Nucleic Acids Research. 49(1). 127–144. 44 indexed citations
10.
Kehl, Tim, Anne Müller, Nadja Grammes, et al.. (2020). GeneTrail 3: advanced high-throughput enrichment analysis. Nucleic Acids Research. 48(W1). W515–W520. 56 indexed citations
11.
Schneider, Lara, Tim Kehl, Nadja Grammes, et al.. (2019). ClinOmicsTrailbc: a visual analytics tool for breast cancer treatment stratification. Bioinformatics. 35(24). 5171–5181. 13 indexed citations
12.
Hart, Martin, Barbara Walch‐Rückheim, Tim Kehl, et al.. (2019). miR-34a as hub of T cell regulation networks. Journal for ImmunoTherapy of Cancer. 7(1). 187–187. 40 indexed citations
13.
Kehl, Tim, Fabian Kern, Christina Backes, et al.. (2019). miRPathDB 2.0: a novel release of the miRNA Pathway Dictionary Database. Nucleic Acids Research. 48(D1). D142–D147. 160 indexed citations
14.
Kehl, Tim, Lara Schneider, Kathrin Kattler, et al.. (2018). The role of TCF3 as potential master regulator in blastemal Wilms tumors. International Journal of Cancer. 144(6). 1432–1443. 4 indexed citations
15.
Kehl, Tim, Lara Schneider, Kathrin Kattler, et al.. (2018). REGGAE: a novel approach for the identification of key transcriptional regulators. Bioinformatics. 34(20). 3503–3510. 6 indexed citations
16.
Backes, Christina, Tobias Fehlmann, Fabian Kern, et al.. (2017). miRCarta: a central repository for collecting miRNA candidates. Nucleic Acids Research. 46(D1). D160–D167. 79 indexed citations
17.
Kehl, Tim, Lara Schneider, Florian Schmidt, et al.. (2017). RegulatorTrail: a web service for the identification of key transcriptional regulators. Nucleic Acids Research. 45(W1). W146–W153. 14 indexed citations
18.
Backes, Christina, Tim Kehl, Daniel Stöckel, et al.. (2016). miRPathDB: a new dictionary on microRNAs and target pathways. Nucleic Acids Research. 45(D1). D90–D96. 101 indexed citations
19.
Kehl, Tim, et al.. (2015). NEFI: Network Extraction From Images. Scientific Reports. 5(1). 15669–15669. 37 indexed citations
20.
Stöckel, Daniel, Oliver J. Müller, Tim Kehl, et al.. (2013). NetworkTrail—a web service for identifying and visualizing deregulated subnetworks. Bioinformatics. 29(13). 1702–1703. 11 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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