Jia Ding

1.5k total citations
19 papers, 979 citations indexed

About

Jia Ding is a scholar working on Plant Science, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jia Ding has authored 19 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 10 papers in Molecular Biology and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jia Ding's work include Prenatal Screening and Diagnostics (5 papers), Genomic variations and chromosomal abnormalities (3 papers) and Plant Disease Resistance and Genetics (3 papers). Jia Ding is often cited by papers focused on Prenatal Screening and Diagnostics (5 papers), Genomic variations and chromosomal abnormalities (3 papers) and Plant Disease Resistance and Genetics (3 papers). Jia Ding collaborates with scholars based in Germany, Netherlands and Belgium. Jia Ding's co-authors include Korbinian Schneeberger, Maarten Koornneef, Mathieu Piednoël, Hequan Sun, Wim J. J. Soppe, Kazumi Nakabayashi, Stephan Ossowski, Luís Zapata, Geo Velikkakam James and Melanie Bartsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Jia Ding

19 papers receiving 965 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Ding Germany 15 668 568 187 87 46 19 979
Tieming Ji United States 17 770 1.2× 641 1.1× 519 2.8× 132 1.5× 17 0.4× 42 1.4k
Jean-Philippe Pichon France 12 602 0.9× 439 0.8× 197 1.1× 33 0.4× 17 0.4× 15 824
Jiangyan Yu United States 12 401 0.6× 151 0.3× 168 0.9× 12 0.1× 56 1.2× 19 582
E. D. Earle United States 18 775 1.2× 680 1.2× 255 1.4× 34 0.4× 73 1.6× 39 1.0k
Sebastián Martínez Uruguay 12 181 0.3× 279 0.5× 66 0.4× 232 2.7× 35 0.8× 41 624
Alexis Ramos United States 6 480 0.7× 363 0.6× 288 1.5× 10 0.1× 23 0.5× 10 771
Isabelle Dupuis Canada 10 457 0.7× 299 0.5× 36 0.2× 23 0.3× 80 1.7× 19 630
Aline Silva Mello César Brazil 24 94 0.1× 527 0.9× 849 4.5× 21 0.2× 10 0.2× 74 1.4k
Anna Samelak-Czajka Poland 11 231 0.3× 215 0.4× 106 0.6× 9 0.1× 14 0.3× 17 423

Countries citing papers authored by Jia Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jia Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Ding

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

All Works

19 of 19 papers shown
1.
Tšuiko, Olga, Tatjana Jatsenko, Joke Allemeersch, et al.. (2023). Preclinical workup using long-read amplicon sequencing provides families withde novopathogenic variants access to universal preimplantation genetic testing. Human Reproduction. 38(3). 511–519. 9 indexed citations
2.
Ding, Jia, Eftychia Dimitriadou, Amin Ardeshirdavani, et al.. (2022). Single-cell genome-wide concurrent haplotyping and copy-number profiling through genotyping-by-sequencing. Nucleic Acids Research. 50(11). e63–e63. 23 indexed citations
3.
Tšuiko, Olga, Cindy Melotte, Jia Ding, et al.. (2021). Haplotyping-based preimplantation genetic testing reveals parent-of-origin specific mechanisms of aneuploidy formation. npj Genomic Medicine. 6(1). 81–81. 21 indexed citations
4.
5.
Ameye, Geneviève, Stefan Lehnert, Jia Ding, et al.. (2020). Ultra‐low depth sequencing of plasma cell DNA for the detection of copy number aberrations in multiple myeloma. Genes Chromosomes and Cancer. 59(8). 465–471. 3 indexed citations
6.
Ding, Jia, Eftychia Dimitriadou, Olga Tšuiko, et al.. (2019). Identity-by-state-based haplotyping expands the application of comprehensive preimplantation genetic testing. Human Reproduction. 35(3). 718–726. 4 indexed citations
7.
Destouni, Aspasia, Eftychia Dimitriadou, Sophie Debrock, et al.. (2018). Genome-wide haplotyping embryos developing from 0PN and 1PN zygotes increases transferrable embryos in PGT-M. Human Reproduction. 33(12). 2302–2311. 45 indexed citations
8.
Kammoun, Molka, Erika Souche, Paul Brady, et al.. (2018). Genetic profile of isolated congenital diaphragmatic hernia revealed by targeted next‐generation sequencing. Prenatal Diagnosis. 38(9). 654–663. 29 indexed citations
9.
10.
Sun, Zhizhong, Jia Ding, Dong Yu, et al.. (2017). QTL analysis and dissection of panicle components in rice using advanced backcross populations derived from Oryza Sativa cultivars HR1128 and ‘Nipponbare’. PLoS ONE. 12(4). e0175692–e0175692. 15 indexed citations
11.
Sun, Hequan, Jia Ding, Mathieu Piednoël, & Korbinian Schneeberger. (2017). findGSE: estimating genome size variation within human and Arabidopsis using k-mer frequencies. Bioinformatics. 34(4). 550–557. 139 indexed citations
12.
Zapata, Luís, Jia Ding, Eva‐Maria Willing, et al.. (2016). Chromosome-level assembly ofArabidopsis thalianaLerreveals the extent of translocation and inversion polymorphisms. Proceedings of the National Academy of Sciences. 113(28). E4052–60. 144 indexed citations
13.
Nakabayashi, Kazumi, Melanie Bartsch, Jia Ding, & Wim J. J. Soppe. (2015). Seed Dormancy in Arabidopsis Requires Self-Binding Ability of DOG1 Protein and the Presence of Multiple Isoforms Generated by Alternative Splicing. PLoS Genetics. 11(12). e1005737–e1005737. 62 indexed citations
14.
15.
Xiang, Yong, Kazumi Nakabayashi, Jia Ding, et al.. (2014). REDUCED DORMANCY5Encodes a Protein Phosphatase 2C That Is Required for Seed Dormancy inArabidopsis     . The Plant Cell. 26(11). 4362–4375. 81 indexed citations
16.
Draffehn, Astrid M., Li Li, Nicolas Krezdorn, et al.. (2013). Comparative transcript profiling by SuperSAGE identifies novel candidate genes for controlling potato quantitative resistance to late blight not compromised by late maturity. Frontiers in Plant Science. 4. 423–423. 34 indexed citations
17.
Wijnker, Erik, Geo Velikkakam James, Jia Ding, et al.. (2013). The genomic landscape of meiotic crossovers and gene conversions in Arabidopsis thaliana. eLife. 2. e01426–e01426. 165 indexed citations
18.
Huang, Xueqing, Jia Ding, Sigi Effgen, Franziska Turck, & Maarten Koornneef. (2013). Multiple loci and genetic interactions involving flowering time genes regulate stem branching among natural variants of Arabidopsis. New Phytologist. 199(3). 843–857. 39 indexed citations
19.
Schmitz, Gregor, Susanne Rossmann, Florence Piron‐Prunier, et al.. (2011). Shoot Branching and Leaf Dissection in Tomato Are Regulated by Homologous Gene Modules. The Plant Cell. 23(10). 3595–3609. 81 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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