Thomas Wolfgruber

6.6k total citations
24 papers, 599 citations indexed

About

Thomas Wolfgruber is a scholar working on Plant Science, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Thomas Wolfgruber has authored 24 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Thomas Wolfgruber's work include Chromosomal and Genetic Variations (6 papers), AI in cancer detection (4 papers) and Plant Disease Resistance and Genetics (4 papers). Thomas Wolfgruber is often cited by papers focused on Chromosomal and Genetic Variations (6 papers), AI in cancer detection (4 papers) and Plant Disease Resistance and Genetics (4 papers). Thomas Wolfgruber collaborates with scholars based in United States, Austria and Germany. Thomas Wolfgruber's co-authors include Gernot G. Presting, Anupma Sharma, Kevin Schneider, Zidian Xie, Xun Zhu, R. Kelly Dawe, Jiming Jiang, Patrice S. Albert, Ronghui Xu and James A. Birchler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Thomas Wolfgruber

23 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Wolfgruber United States 13 361 303 88 65 42 24 599
Jianbo Wang China 11 119 0.3× 485 1.6× 199 2.3× 88 1.4× 47 1.1× 20 697
Joshua S. K. Bell United States 10 272 0.8× 1.0k 3.4× 151 1.7× 121 1.9× 30 0.7× 19 1.2k
Genny Buson Italy 12 267 0.7× 308 1.0× 33 0.4× 99 1.5× 53 1.3× 16 553
Koji Doi Japan 14 223 0.6× 113 0.4× 53 0.6× 44 0.7× 30 0.7× 37 499
G. P. Barber United States 3 126 0.3× 914 3.0× 161 1.8× 157 2.4× 22 0.5× 3 1.1k
Ron Schweßinger United Kingdom 10 118 0.3× 484 1.6× 90 1.0× 40 0.6× 12 0.3× 16 587
John W. Breneman United States 12 137 0.4× 256 0.8× 116 1.3× 98 1.5× 12 0.3× 18 460
Zenaida P. Lopez-Dee United States 8 277 0.8× 383 1.3× 64 0.7× 47 0.7× 18 0.4× 11 595
Eva Henriksson Sweden 12 402 1.1× 460 1.5× 44 0.5× 35 0.5× 48 1.1× 19 799
Readman Chiu Canada 16 168 0.5× 414 1.4× 246 2.8× 66 1.0× 8 0.2× 25 617

Countries citing papers authored by Thomas Wolfgruber

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Wolfgruber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Wolfgruber

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Wolfgruber. A scholar is included among the top collaborators of Thomas Wolfgruber 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 Wolfgruber. Thomas Wolfgruber 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.
Wolfgruber, Thomas, Brenda Y. Hernandez, Todd B. Seto, et al.. (2025). Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis. The Lancet Regional Health - Americas. 46. 101096–101096. 1 indexed citations
2.
Shepherd, John, et al.. (2022). Deep learning predicts all-cause mortality from longitudinal total-body DXA imaging. SHILAP Revista de lepidopterología. 2(1). 102–102. 7 indexed citations
3.
Fukui, Jami, et al.. (2022). Abstract P3-01-13: Comparing portable and clinical ultrasound systems using 3D printed breast phantom inserts. Cancer Research. 82(4_Supplement). P3–1. 1 indexed citations
4.
Garmire, David, Xun Zhu, Qianhui Huang, et al.. (2021). GranatumX: A Community-Engaging, Modularized, and Flexible Webtool for Single-Cell Data Analysis. Genomics Proteomics & Bioinformatics. 19(3). 452–460. 4 indexed citations
5.
Benny, Paula, et al.. (2021). Placentas delivered by pre‐pregnant obese women have reduced abundance and diversity in the microbiome. The FASEB Journal. 35(4). e21524–e21524. 16 indexed citations
6.
Malkov, Serghei, Karen Drukker, Bethany L. Niell, et al.. (2021). Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesions. Communications Medicine. 1(1). 29–29. 4 indexed citations
7.
Zhu, Xun, Thomas Wolfgruber, Matthew R. Jensen, et al.. (2021). Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women. Radiology. 301(3). 550–558. 22 indexed citations
8.
Piffaretti, Gabriele, Martin Czerny, Vicente Riambau, et al.. (2020). Endovascular repair of ascending aortic diseases with custom-made endografts. European Journal of Cardio-Thoracic Surgery. 59(4). 741–749. 13 indexed citations
9.
Bellinger, M. Renee, Steven M. Starnes, Michael B. Kantar, et al.. (2020). Taro Genome Assembly and Linkage Map Reveal QTLs for Resistance to Taro Leaf Blight. G3 Genes Genomes Genetics. 10(8). 2763–2775. 18 indexed citations
10.
Berger, Tim, Maximilian Kreibich, Andreas Winkler, et al.. (2020). Diameter Changes in Traumatic Aortic Injury: Implications for Stent-Graft Sizing. The Thoracic and Cardiovascular Surgeon. 70(4). 333–338. 7 indexed citations
11.
Kunit, Thomas, et al.. (2018). Pseudoaneurysma der bulbären Harnröhre nach traumatischer Katheterisierung. Der Urologe. 57(11). 1357–1359.
12.
Zhu, Xun, et al.. (2017). Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists. Genome Medicine. 9(1). 108–108. 50 indexed citations
13.
Helmkampf, Martin, Thomas Wolfgruber, M. Renee Bellinger, et al.. (2017). Phylogenetic Relationships, Breeding Implications, and Cultivation History of Hawaiian Taro (Colocasia Esculenta) Through Genome-Wide SNP Genotyping. Journal of Heredity. 109(3). 272–282. 20 indexed citations
14.
Wolfgruber, Thomas, Kevin Schneider, Anupma Sharma, et al.. (2016). High Quality Maize Centromere 10 Sequence Reveals Evidence of Frequent Recombination Events. Frontiers in Plant Science. 7. 308–308. 26 indexed citations
15.
Sharma, Anupma, Thomas Wolfgruber, & Gernot G. Presting. (2013). Tandem repeats derived from centromeric retrotransposons. BMC Genomics. 14(1). 142–142. 85 indexed citations
16.
Sherwood, Alison R., et al.. (2012). The Hawaiian Freshwater Algal Database (HfwADB): a laboratory LIMS and online biodiversity resource. BMC Ecology. 12(1). 22–22. 4 indexed citations
17.
Wolfgruber, Thomas & Gernot G. Presting. (2010). JunctionViewer: customizable annotation software for repeat-rich genomic regions. BMC Bioinformatics. 11(1). 23–23. 5 indexed citations
18.
Wolfgruber, Thomas, Anupma Sharma, Kevin Schneider, et al.. (2009). Maize Centromere Structure and Evolution: Sequence Analysis of Centromeres 2 and 5 Reveals Dynamic Loci Shaped Primarily by Retrotransposons. PLoS Genetics. 5(11). e1000743–e1000743. 147 indexed citations
19.
Sharma, Anupma, Thomas Wolfgruber, Kiyotaka Nagaki, et al.. (2006). Precise Centromere Mapping Using a Combination of Repeat Junction Markers and Chromatin Immunoprecipitation–Polymerase Chain Reaction. Genetics. 174(2). 1057–1061. 24 indexed citations
20.
Haidenberger, Alfred, et al.. (2003). Influence of Fractionated Irradiation on Neutrophilic Granulocyte Function. Strahlentherapie und Onkologie. 179(1). 45–49. 14 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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