David Kainer

2.8k total citations · 1 hit paper
37 papers, 1.7k citations indexed

About

David Kainer is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, David Kainer has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Genetics and 10 papers in Plant Science. Recurrent topics in David Kainer's work include Genomics and Phylogenetic Studies (7 papers), Plant biochemistry and biosynthesis (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). David Kainer is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Plant biochemistry and biosynthesis (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). David Kainer collaborates with scholars based in United States, Australia and Germany. David Kainer's co-authors include Robert Lanfear, Brett Calcott, Christoph Mayer, Alexandros Stamatakis, Gerald A. Tuskan, Benjamin Schwessinger, Miriam Schalamun, Daniel Jacobson, Carsten Külheim and Weiwen Wang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

David Kainer

36 papers receiving 1.7k 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.

Selecting optimal partitioning schemes for phylogenomic datasets

2014 571 citations Robert Lanfear, David Kainer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Kainer United States	19	737	484	458	359	271	37	1.7k
Manuel Gil Switzerland	8	812 1.1×	545 1.1×	335 0.7×	258 0.7×	328 1.2×	12	1.7k
Sonja J. Prohaska Germany	25	1.9k 2.6×	466 1.0×	496 1.1×	132 0.4×	410 1.5×	64	2.5k
Xing‐Xing Shen China	30	1.8k 2.4×	960 2.0×	659 1.4×	542 1.5×	359 1.3×	81	3.2k
Fahong Yu United States	25	990 1.3×	606 1.3×	270 0.6×	166 0.5×	304 1.1×	89	2.1k
Christian M. Zmasek United States	18	1.6k 2.1×	513 1.1×	418 0.9×	212 0.6×	333 1.2×	27	2.5k
Frédéric Lemoine France	17	1.1k 1.6×	404 0.8×	249 0.5×	141 0.4×	242 0.9×	35	2.0k
Ben C Stöver Germany	4	457 0.6×	711 1.5×	175 0.4×	462 1.3×	284 1.0×	7	1.5k
Regula Rupp Germany	5	914 1.2×	342 0.7×	456 1.0×	225 0.6×	188 0.7×	7	1.5k
Surendra Kumar Canada	20	582 0.8×	433 0.9×	150 0.3×	253 0.7×	492 1.8×	52	1.6k

Countries citing papers authored by David Kainer

Since Specialization

Citations

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

Fields of papers citing papers by David Kainer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kainer

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

All Works

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20 of 20 papers shown

Kainer, David. (2025). The effectiveness of large language models with RAG for auto-annotating trait and phenotype descriptions. Biology Methods and Protocols. 10(1). bpaf016–bpaf016. 1 indexed citations

Kainer, David, R Sullivan, Xiaohuan Sun, et al.. (2025). Spatial Transcriptomics of Developing Wheat Seed Reveals Concentric Gene Expression Zones and Subgenome Biased Expression of Key Genes. Plant Biotechnology Journal. 23(12). 5934–5949. 1 indexed citations

Kainer, David, Cassandra Elphinstone, Natalie Dillon, et al.. (2024). Centromeres are hotspots for chromosomal inversions and breeding traits in mango. New Phytologist. 245(2). 899–913. 4 indexed citations

Noshay, Jaclyn M, William G. Alexander, Dawn M. Klingeman, et al.. (2023). Quantum biological insights into CRISPR-Cas9 sgRNA efficiency from explainable-AI driven feature engineering. Nucleic Acids Research. 51(19). 10147–10161. 10 indexed citations

Tannous, Joanna, Alyssa A. Carrell, Paul E. Abraham, et al.. (2023). A glimpse into the fungal metabolomic abyss: Novel network analysis reveals relationships between exogenous compounds and their outputs. PNAS Nexus. 2(10). 6 indexed citations

Furches, Anna, Stephanie Galanie, Érica T. Prates, et al.. (2023). Validation of a metabolite–GWAS network for Populus trichocarpa family 1 UDP-glycosyltransferases. Frontiers in Plant Science. 14. 1210146–1210146. 5 indexed citations

Kainer, David, Yaping Xu, C. PIASECKI, et al.. (2022). The Genetic Architecture of Nitrogen Use Efficiency in Switchgrass (Panicum virgatum L.). Frontiers in Plant Science. 13. 893610–893610. 3 indexed citations

Walker, Angelica M., Ashley Cliff, Jonathon Romero, et al.. (2022). Evaluating the performance of random forest and iterative random forest based methods when applied to gene expression data. Computational and Structural Biotechnology Journal. 20. 3372–3386. 30 indexed citations

Cope, Kevin R., Érica T. Prates, John I. Miller, et al.. (2022). Exploring the role of plant lysin motif receptor-like kinases in regulating plant-microbe interactions in the bioenergy crop Populus. Computational and Structural Biotechnology Journal. 21. 1122–1139. 9 indexed citations

10.

Padovan, Amanda, David Kainer, Carsten Külheim, et al.. (2020). A phylogenomic approach reveals a low somatic mutation rate in a long-lived plant. Proceedings of the Royal Society B Biological Sciences. 287(1922). 20192364–20192364. 38 indexed citations

11.

Wang, Weiwen, Ashutosh Das, David Kainer, et al.. (2020). The draft nuclear genome assembly of Eucalyptus pauciflora : a pipeline for comparing de novo assemblies. GigaScience. 9(1). 32 indexed citations

12.

Furches, Anna, David Macaya‐Sanz, Alejandro R. Walker, et al.. (2020). Genome-Wide Association Study of Wood Anatomical and Morphological Traits in Populus trichocarpa. Frontiers in Plant Science. 11. 545748–545748. 21 indexed citations

13.

Streich, Jared, Jonathon Romero, David Kainer, et al.. (2020). Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?. Current Opinion in Biotechnology. 61. 217–225. 39 indexed citations

14.

Schalamun, Miriam, David Kainer, David Eccles, et al.. (2018). Harnessing the MinION: An example of how to establish long‐read sequencing in a laboratory using challenging plant tissue from Eucalyptus pauciflora. Molecular Ecology Resources. 19(1). 77–89. 51 indexed citations

15.

Wang, Weiwen, et al.. (2018). Assembly of chloroplast genomes with long- and short-read data: a comparison of approaches using Eucalyptus pauciflora as a test case. BMC Genomics. 19(1). 977–977. 50 indexed citations

16.

Joubert, Wayne, Deborah Weighill, David Kainer, et al.. (2018). Attacking the opioid epidemic: determining the epistatic and pleiotropic genetic architectures for chronic pain and opioid addiction. IEEE International Conference on High Performance Computing, Data, and Analytics. 57. 9 indexed citations

17.

Joubert, Wayne, Deborah Weighill, David Kainer, et al.. (2018). Attacking the Opioid Epidemic: Determining the Epistatic and Pleiotropic Genetic Architectures for Chronic Pain and Opioid Addiction. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 717–730. 18 indexed citations

18.

Mewalal, Ritesh, D.K. Rai, David Kainer, et al.. (2016). Plant-Derived Terpenes: A Feedstock for Specialty Biofuels. Trends in biotechnology. 35(3). 227–240. 129 indexed citations

19.

Kainer, David, Robert Lanfear, William J. Foley, & Carsten Külheim. (2015). Genomic approaches to selection in outcrossing perennials: focus on essential oil crops. Theoretical and Applied Genetics. 128(12). 2351–2365. 26 indexed citations

20.

Kainer, David & Robert Lanfear. (2015). The Effects of Partitioning on Phylogenetic Inference. Molecular Biology and Evolution. 32(6). 1611–1627. 106 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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