Ivo Große

9.6k total citations · 2 hit papers
142 papers, 6.3k citations indexed

About

Ivo Große is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Ivo Große has authored 142 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 41 papers in Plant Science and 19 papers in Genetics. Recurrent topics in Ivo Große's work include Genomics and Chromatin Dynamics (26 papers), Genomics and Phylogenetic Studies (25 papers) and RNA and protein synthesis mechanisms (21 papers). Ivo Große is often cited by papers focused on Genomics and Chromatin Dynamics (26 papers), Genomics and Phylogenetic Studies (25 papers) and RNA and protein synthesis mechanisms (21 papers). Ivo Große collaborates with scholars based in Germany, United States and United Kingdom. Ivo Große's co-authors include H. Eugene Stanley, Hanspeter Herzel, Jan Grau, Jens Keilwagen, Boris Podobnik, Davor Horvatić, Michael Q. Zhang, Ramana V. Davuluri, Panagiotis Alexiou and Artemis G. Hatzigeorgiou and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ivo Große

139 papers receiving 6.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quantifying cross-correlations using local and global detrending approaches

2009 382 citations Ivo Große, H. Eugene Stanley et al. profile →
Urban areas as hotspots for bees and pollination but not a panacea for all insects

2020 260 citations Ivo Große et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivo Große Germany	42	3.3k	1.7k	881	607	579	142	6.3k
Brian S. Yandell United States	49	2.8k 0.9×	1.6k 0.9×	381 0.4×	2.4k 3.9×	326 0.6×	153	9.8k
Jens Ledet Jensen Denmark	31	5.6k 1.7×	635 0.4×	194 0.2×	990 1.6×	1.6k 2.8×	113	9.7k
Jie Chen China	32	2.2k 0.7×	333 0.2×	193 0.2×	629 1.0×	323 0.6×	205	6.4k
Michael A. Newton United States	47	4.8k 1.4×	613 0.4×	275 0.3×	1.8k 2.9×	1.4k 2.4×	208	10.6k
Matt Davison Canada	36	3.2k 1.0×	231 0.1×	402 0.5×	265 0.4×	320 0.6×	160	6.0k
Jean‐Philippe Vert France	48	6.0k 1.8×	903 0.5×	90 0.1×	819 1.3×	695 1.2×	120	9.6k
Wentian Li United States	41	2.8k 0.8×	162 0.1×	281 0.3×	928 1.5×	251 0.4×	212	7.0k
Gustavo Stolovitzky United States	50	8.2k 2.5×	269 0.2×	145 0.2×	716 1.2×	971 1.7×	160	12.6k
Yuan Yuan China	42	2.1k 0.6×	126 0.1×	761 0.9×	408 0.7×	1.3k 2.3×	393	6.5k
Vladimir B. Bajić Saudi Arabia	57	7.1k 2.1×	1.6k 1.0×	234 0.3×	953 1.6×	2.0k 3.4×	278	11.7k

Countries citing papers authored by Ivo Große

Since Specialization

Citations

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

Fields of papers citing papers by Ivo Große

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivo Große

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Grau, Jan, Robert C. Rennert, Thomas Mueller, et al.. (2024). Advancing Anticancer Drug Discovery: Leveraging Metabolomics and Machine Learning for Mode of Action Prediction by Pattern Recognition. Advanced Science. 11(47). e2404085–e2404085. 3 indexed citations

Güttler, Antje, Claus Weinholdt, Jacqueline Keßler, et al.. (2022). SESN2 Knockdown Increases Betulinic Acid-Induced Radiosensitivity of Hypoxic Breast Cancer Cells. Cells. 12(1). 177–177. 3 indexed citations

Gogol‐Döring, Andreas, et al.. (2021). Taxonomic analysis of metagenomic data with kASA. Nucleic Acids Research. 49(12). e68–e68. 3 indexed citations

Schmidt, B J, Corinna Brandsch, Ivo Große, et al.. (2021). Acute Effects of an Inorganic Phosphorus Additive on Mineral Metabolism and Cardiometabolic Risk Factors in Healthy Subjects. The Journal of Clinical Endocrinology & Metabolism. 107(2). e852–e864. 12 indexed citations

Große, Ivo, et al.. (2020). Fold-Change-Specific Enrichment Analysis (FSEA): Quantification of Transcriptional Response Magnitude for Functional Gene Groups. Genes. 11(4). 434–434. 7 indexed citations

Cavalli, Marco, Husen M. Umer, Jan Grau, et al.. (2019). Allele specific chromatin signals, 3D interactions, and motif predictions for immune and B cell related diseases. Scientific Reports. 9(1). 2695–2695. 20 indexed citations

Schutkowski, Alexandra, Bettina König, Holger Kluge, et al.. (2019). Metabolic footprint and intestinal microbial changes in response to dietary proteins in a pig model. The Journal of Nutritional Biochemistry. 67. 149–160. 5 indexed citations

Melnyk, Charles W., Alexander Gabel, Thomas J. Hardcastle, et al.. (2018). Transcriptome dynamics at Arabidopsis graft junctions reveal an intertissue recognition mechanism that activates vascular regeneration. Proceedings of the National Academy of Sciences. 115(10). E2447–E2456. 130 indexed citations

Novikova, Daria D., Nadya Omelyanchuk, V. G. Levitsky, et al.. (2017). Diversity of cis-regulatory elements associated with auxin response in Arabidopsis thaliana. Journal of Experimental Botany. 69(2). 329–339. 45 indexed citations

10.

Drost, Hajk‐Georg, Alexander Gabel, Jialin Liu, Marcel Quint, & Ivo Große. (2017). myTAI: evolutionary transcriptomics with R. Bioinformatics. 34(9). 1589–1590. 41 indexed citations

11.

Eggeling, Ralf, Mikko Koivisto, & Ivo Große. (2015). Dealing with small data: On the generalization of context trees. International Conference on Machine Learning. 1245–1253. 5 indexed citations

12.

Mehlgarten, Constance, Jorrit‐Jan Krijger, André Gohr, et al.. (2015). Divergent Evolution of the Transcriptional Network Controlled by Snf1-Interacting Protein Sip4 in Budding Yeasts. PLoS ONE. 10(10). e0139464–e0139464. 7 indexed citations

13.

Bönn, Markus, Lasse Feldhahn, Sylvie Herrmann, et al.. (2014). Streptomyces -Induced Resistance Against Oak Powdery Mildew Involves Host Plant Responses in Defense, Photosynthesis, and Secondary Metabolism Pathways. Molecular Plant-Microbe Interactions. 27(9). 891–900. 91 indexed citations

14.

Orlov, Yuriy L., I. V. Medvedeva, Konstantin Gunbin, et al.. (2014). ICGenomics: A PROGRAM COMPLEX FOR ANALYSIS OF SYMBOL SEQUENCES IN GENOMICS. SHILAP Revista de lepidopterología. 5 indexed citations

15.

Tränkner, Conny, et al.. (2014). Genetic analysis of bolting after winter in sugar beet (Beta vulgaris L.). Theoretical and Applied Genetics. 127(11). 2479–2489. 17 indexed citations

16.

Grau, Jan, et al.. (2012). Jstacs: a java framework for statistical analysis and classification of biological sequences. Journal of Machine Learning Research. 13(1). 1967–1971. 34 indexed citations

17.

Seifert, Michael, Jens Keilwagen, Marc Strickert, & Ivo Große. (2008). Utilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data.. 116–127. 1 indexed citations

18.

Grau, Jan, Jens Keilwagen, Alexander Kel, Ivo Große, & Stefan Posch. (2007). Supervised posteriors for DNA-motif classification. 123–134. 4 indexed citations

19.

Weise, Stéphan, Ivo Große, Christian Klukas, et al.. (2006). Meta-All: a system for managing metabolic pathway information. BMC Bioinformatics. 7(1). 465–465. 12 indexed citations

20.

Große, Ivo, Hanspeter Herzel, Sergey V. Buldyrev, & H. Eugene Stanley. (2000). Species independence of mutual information in coding and noncoding DNA. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 61(5). 5624–5629. 104 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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