Thomas Bonfert

760 total citations
9 papers, 499 citations indexed

About

Thomas Bonfert is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Thomas Bonfert has authored 9 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Epidemiology. Recurrent topics in Thomas Bonfert's work include RNA modifications and cancer (5 papers), RNA regulation and disease (3 papers) and RNA and protein synthesis mechanisms (3 papers). Thomas Bonfert is often cited by papers focused on RNA modifications and cancer (5 papers), RNA regulation and disease (3 papers) and RNA and protein synthesis mechanisms (3 papers). Thomas Bonfert collaborates with scholars based in Germany, United Kingdom and United States. Thomas Bonfert's co-authors include Caroline C. Friedel, Ralf Zimmer, Lars Dölken, Philip Rosenstiel, Anne L’Hernault, Markus B. Schilhabel, Florian Erhard, Colin M. Crump, Andrzej Rutkowski and Stacey Efstathiou and has published in prestigious journals such as Nature Communications, PLoS ONE and Genome Research.

In The Last Decade

Thomas Bonfert

9 papers receiving 497 citations

Peers

Thomas Bonfert

MB

EPIDE

CR

IMMUN

GENET

Hannah M. Burgess United States

Laura F. Wetherill United Kingdom

Justin M. Pare Canada

Aarthi Narayanan United States

Keum S. Choi United States

Qingcai Meng China

Meigong Zhong China

E. S. Ioudinkova Russia

Wen-Yuan Hu United States

Daphne C. Avgousti United States

Hannah M. Burgess United States

Thomas Bonfert

416 ×1.1

MB

92 ×0.7

EPIDE

63 ×0.7

CR

71 ×1.0

IMMUN

53 ×1.4

GENET

Citations per year, relative to Thomas Bonfert Thomas Bonfert (= 1×) peers Hannah M. Burgess

Countries citing papers authored by Thomas Bonfert

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Bonfert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Bonfert

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

All Works

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9 of 9 papers shown

1.

Bonfert, Thomas & Caroline C. Friedel. (2017). Prediction of Poly(A) Sites by Poly(A) Read Mapping. PLoS ONE. 12(1). e0170914–e0170914. 13 indexed citations

2.

Rutkowski, Andrzej, Florian Erhard, Anne L’Hernault, et al.. (2015). Widespread disruption of host transcription termination in HSV-1 infection. Nature Communications. 6(1). 7126–7126. 194 indexed citations

3.

Hünten, Sabine, Markus Kaller, Friedel Drepper, et al.. (2015). p53-Regulated Networks of Protein, mRNA, miRNA, and lncRNA Expression Revealed by Integrated Pulsed Stable Isotope Labeling With Amino Acids in Cell Culture (pSILAC) and Next Generation Sequencing (NGS) Analyses. Molecular & Cellular Proteomics. 14(10). 2609–2629. 57 indexed citations

4.

Bonfert, Thomas, et al.. (2015). ContextMap 2: fast and accurate context-based RNA-seq mapping. BMC Bioinformatics. 16(1). 122–122. 39 indexed citations

5.

Bonfert, Thomas, Gergely Csaba, Ralf Zimmer, & Caroline C. Friedel. (2013). Mining RNA–Seq Data for Infections and Contaminations. PLoS ONE. 8(9). e73071–e73071. 11 indexed citations

6.

Friedel, Roland H., et al.. (2013). Clonal Expansion Analysis of Transposon Insertions by High-Throughput Sequencing Identifies Candidate Cancer Genes in a PiggyBac Mutagenesis Screen. PLoS ONE. 8(8). e72338–e72338. 10 indexed citations

7.

Windhager, Lukas, Thomas Bonfert, Kaspar Burger, et al.. (2012). Ultrashort and progressive 4sU-tagging reveals key characteristics of RNA processing at nucleotide resolution. Genome Research. 22(10). 2031–2042. 112 indexed citations

8.

Marcinowski, Lisa, Michael Lidschreiber, Lukas Windhager, et al.. (2012). Real-time Transcriptional Profiling of Cellular and Viral Gene Expression during Lytic Cytomegalovirus Infection. PLoS Pathogens. 8(9). e1002908–e1002908. 53 indexed citations

9.

Bonfert, Thomas, Gergely Csaba, Ralf Zimmer, & Caroline C. Friedel. (2012). A context-based approach to identify the most likely mapping for RNA-seq experiments. BMC Bioinformatics. 13(S6). S9–S9. 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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