Thasso Griebel

3.4k total citations
11 papers, 633 citations indexed

About

Thasso Griebel is a scholar working on Molecular Biology, Surgery and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Thasso Griebel has authored 11 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Thasso Griebel's work include Genomics and Phylogenetic Studies (7 papers), Plant and animal studies (2 papers) and Genetic diversity and population structure (2 papers). Thasso Griebel is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Plant and animal studies (2 papers) and Genetic diversity and population structure (2 papers). Thasso Griebel collaborates with scholars based in Germany, Spain and France. Thasso Griebel's co-authors include Michael Sammeth, Sebastian Böcker, Roderic Guigó, Paolo Ribeca, Emanuele Raineri, Vincent Lacroix, Benedikt Zacher, Silke Allmann, Ian T. Baldwin and Omprakash Mittapalli and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Thasso Griebel

11 papers receiving 624 citations

Peers

Thasso Griebel

MB

SURGE

GENET

PS

IS

Harvey R. Fernandez United States

Carole H. Sellem France

Prajitha Thampi United States

Madeleine Douaire France

Hairong Luo China

Makoto Kihara Japan

Morré Dj United States

Chie Goto Japan

Elena N. Kozhevnikova Russia

Jeremy P. Gillespie United Kingdom

Harvey R. Fernandez United States

Thasso Griebel

364 ×0.9

MB

37 ×0.2

SURGE

85 ×0.8

GENET

93 ×0.9

PS

22 ×0.3

IS

Citations per year, relative to Thasso Griebel Thasso Griebel (= 1×) peers Harvey R. Fernandez

Countries citing papers authored by Thasso Griebel

Since Specialization

Citations

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

Fields of papers citing papers by Thasso Griebel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thasso Griebel

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

All Works

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11 of 11 papers shown

1.

Rodríguez–Martín, Bernardo, Emilio Palumbo, Santiago Marco‐Sola, et al.. (2017). ChimPipe: accurate detection of fusion genes and transcription-induced chimeras from RNA-seq data. BMC Genomics. 18(1). 7–7. 22 indexed citations

2.

Cnop, Miriam, Baroj Abdulkarim, Guy Bottu, et al.. (2013). RNA Sequencing Identifies Dysregulation of the Human Pancreatic Islet Transcriptome by the Saturated Fatty Acid Palmitate. Diabetes. 63(6). 1978–1993. 210 indexed citations

3.

Bottu, Guy, Thasso Griebel, Baroj Abdulkarim, et al.. (2012). RNA-sequencing identifies dysregulation of the human pancreatic islet transcriptome by the saturated fatty acid palmitate. Diabetologia. 55. 1 indexed citations

4.

Griebel, Thasso, Benedikt Zacher, Paolo Ribeca, et al.. (2012). Modelling and simulating generic RNA-Seq experiments with the flux simulator. Nucleic Acids Research. 40(20). 10073–10083. 181 indexed citations

5.

Griebel, Thasso, et al.. (2012). FlipCut Supertrees: Towards Matrix Representation Accuracy in Polynomial Time. Algorithmica. 67(2). 142–160. 3 indexed citations

6.

Petkovits, Tamás, László G. Nagy, Kerstin Hoffmann, et al.. (2011). Data Partitions, Bayesian Analysis and Phylogeny of the Zygomycetous Fungal Family Mortierellaceae, Inferred from Nuclear Ribosomal DNA Sequences. PLoS ONE. 6(11). e27507–e27507. 30 indexed citations

7.

Griebel, Thasso, et al.. (2011). Polynomial Supertree Methods Revisited. PubMed. 2011. 1–21. 4 indexed citations

8.

Govind, Geetha, Omprakash Mittapalli, Thasso Griebel, et al.. (2010). Unbiased Transcriptional Comparisons of Generalist and Specialist Herbivores Feeding on Progressively Defenseless Nicotiana attenuata Plants. PLoS ONE. 5(1). e8735–e8735. 83 indexed citations

9.

Dondrup, Michael, Stefan P. Albaum, Thasso Griebel, et al.. (2009). EMMA 2 – A MAGE-compliant system for the collaborative analysis and integration of microarray data. BMC Bioinformatics. 10(1). 50–50. 59 indexed citations

10.

Griebel, Thasso, et al.. (2008). EPoS: a modular software framework for phylogenetic analysis. Bioinformatics. 24(20). 2399–2400. 37 indexed citations

11.

Sammeth, Michael, et al.. (2006). Panta rhei (QAlign2): an open graphical environment for sequence analysis. Bioinformatics. 22(7). 889–890. 3 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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