David Weber

2.7k total citations
43 papers, 1.2k citations indexed

About

David Weber is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, David Weber has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 18 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in David Weber's work include Chromosomal and Genetic Variations (21 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Plant Disease Resistance and Genetics (7 papers). David Weber is often cited by papers focused on Chromosomal and Genetic Variations (21 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Plant Disease Resistance and Genetics (7 papers). David Weber collaborates with scholars based in United States, Germany and United Kingdom. David Weber's co-authors include S. Wright, T. Helentjaris, Manfred Gessler, Cornelia Wiese, Tim Helentjaris, Scott H. Wright, Danny Alexander, Thomas Peterson, Phil Barnett and Karel van Duijvenboden and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

In The Last Decade

David Weber

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Weber United States 16 649 630 281 79 70 43 1.2k
Manuel Pérez‐Alonso Spain 18 1.1k 1.7× 470 0.7× 98 0.3× 51 0.6× 19 0.3× 49 1.5k
Ni Hong China 24 810 1.2× 290 0.5× 767 2.7× 108 1.4× 40 0.6× 62 1.6k
William Chow United States 12 335 0.5× 341 0.5× 121 0.4× 15 0.2× 30 0.4× 24 673
Andrew Johnson United States 12 508 0.8× 282 0.4× 151 0.5× 19 0.2× 25 0.4× 34 772
Solomon G. Nergadze Italy 19 913 1.4× 830 1.3× 488 1.7× 73 0.9× 33 0.5× 44 1.5k
Max Kauer Austria 12 324 0.5× 124 0.2× 407 1.4× 46 0.6× 32 0.5× 14 869
Jiajian Zhou China 16 553 0.9× 153 0.2× 214 0.8× 144 1.8× 20 0.3× 34 910
Olga V. Anatskaya Russia 19 538 0.8× 155 0.2× 186 0.7× 147 1.9× 19 0.3× 47 892
J. Peter Hjorth Denmark 15 510 0.8× 152 0.2× 378 1.3× 20 0.3× 22 0.3× 28 1.1k
Jinhuan Wang China 21 770 1.2× 385 0.6× 384 1.4× 432 5.5× 9 0.1× 41 1.2k

Countries citing papers authored by David Weber

Since Specialization
Citations

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

Fields of papers citing papers by David Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Weber

This figure shows the co-authorship network connecting the top 25 collaborators of David Weber. A scholar is included among the top collaborators of David Weber 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 David Weber. David Weber 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.
Lang, Franziska, Patrick Sorn, M Suchan, et al.. (2024). Prediction of tumor-specific splicing from somatic mutations as a source of neoantigen candidates. Bioinformatics Advances. 4(1). vbae080–vbae080. 2 indexed citations
2.
Weber, David, Martin Löwer, Valesca Bukur, et al.. (2024). Temporal evolution and inter-patient heterogeneity in primary and recurrent head and neck squamous cell carcinoma. SHILAP Revista de lepidopterología. 2(1). 62–62. 1 indexed citations
3.
Weber, David, Jonas Ibn-Salem, Patrick Sorn, et al.. (2022). Accurate detection of tumor-specific gene fusions reveals strongly immunogenic personal neo-antigens. Nature Biotechnology. 40(8). 1276–1284. 34 indexed citations
4.
Weber, David, Martin Löwer, Valesca Bukur, et al.. (2021). Comprehensive Genomic and Transcriptomic Analysis of Three Synchronous Primary Tumours and a Recurrence from a Head and Neck Cancer Patient. International Journal of Molecular Sciences. 22(14). 7583–7583. 3 indexed citations
5.
Becker, Julia Powers, Jos de Graaf, Martin Löwer, et al.. (2020). Integrative analysis of structural variations using short-reads and linked-reads yields highly specific and sensitive predictions. PLoS Computational Biology. 16(11). e1008397–e1008397. 6 indexed citations
6.
Weber, David, Cornelia Wiese, & Manfred Gessler. (2014). Hey bHLH Transcription Factors. Current topics in developmental biology. 110. 285–315. 63 indexed citations
7.
Weber, David, Julia Heisig, Susanne Kneitz, et al.. (2014). Mechanisms of epigenetic and cell-type specific regulation of Hey target genes in ES cells and cardiomyocytes. Journal of Molecular and Cellular Cardiology. 79. 79–88. 23 indexed citations
8.
Heisig, Julia, David Weber, Anja Winkler, et al.. (2012). Target Gene Analysis by Microarrays and Chromatin Immunoprecipitation Identifies HEY Proteins as Highly Redundant bHLH Repressors. PLoS Genetics. 8(5). e1002728–e1002728. 67 indexed citations
9.
Al‐Balool, Haya H., David Weber, Yilei Liu, et al.. (2011). Post-transcriptional exon shuffling events in humans can be evolutionarily conserved and abundant. Genome Research. 21(11). 1788–1799. 37 indexed citations
10.
Weber, David, André Franke, Marco Groth, et al.. (2011). Mapping of quantitative trait loci controlling lifespan in the short‐lived fish Nothobranchius furzeri– a new vertebrate model for age research. Aging Cell. 11(2). 252–261. 57 indexed citations
11.
Yu, Chuanhe, et al.. (2009). Cytological Evidence that Alternative Transposition by Ac Elements Causes Reciprocal Translocations and Inversions in Zea mays L.. Maydica. 54(4). 457–462. 1 indexed citations
12.
Zhang, Peifen, Chuanhe Yu, Jonathan C. Lamb, et al.. (2009). Alternative Ac/Ds transposition induces major chromosomal rearrangements in maize. Genes & Development. 23(6). 755–765. 50 indexed citations
13.
Okagaki, Ron J., Adrian O. Stec, Ralf G. Kynast, et al.. (2008). Maize Centromere Mapping: A Comparison of Physical and Genetic Strategies. Journal of Heredity. 99(2). 85–93. 7 indexed citations
14.
Charbonneau, Michel, et al.. (2000). A survey of ig containing materials.. 54–55. 2 indexed citations
15.
Weber, David, et al.. (1993). Estimating genetic relatedness of maize to twenty-three plant species by RFLP analysis. Maydica. 38(4). 231–237. 4 indexed citations
16.
Helentjaris, T., David Weber, & S. Wright. (1988). Identification of the genomic locations of duplicate nucleotide sequences in maize by analysis of restriction fragment length polymorphisms.. Genetics. 118(2). 353–363. 306 indexed citations
17.
Zhao, Zhong & David Weber. (1988). Analysis of Nondisjunction Induced by the R-X1 Deficiency during Microsporogenesis in Zea Mays L.. Genetics. 119(4). 975–980. 2 indexed citations
18.
Weber, David, et al.. (1980). Effect of B chromosome on sister-chromatid exchange in maize.. Genetics. 94. 1 indexed citations
19.
Weber, David. (1973). A test of distributive pairing in Zea mays utilizing doubly monosomic plants. Theoretical and Applied Genetics. 43(3-4). 167–173. 8 indexed citations
20.
Weber, David. (1970). An attraction between nonhomologous univalent chromosomes and further tests of distributive pairing in Zea mays.. Genetics. 64. 2 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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