R. John Davenport

3.9k total citations
38 papers, 513 citations indexed

About

R. John Davenport is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, R. John Davenport has authored 38 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Aging. Recurrent topics in R. John Davenport's work include Genetics, Aging, and Longevity in Model Organisms (4 papers), RNA and protein synthesis mechanisms (3 papers) and RNA modifications and cancer (3 papers). R. John Davenport is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (4 papers), RNA and protein synthesis mechanisms (3 papers) and RNA modifications and cancer (3 papers). R. John Davenport collaborates with scholars based in United States, Taiwan and Canada. R. John Davenport's co-authors include W. Brad Barbazuk, Gábor Marth, Pui–Yan Kwok, Raymond D. Miller, Matthew Minton, Shenghui Duan, Christopher Dervinis, Márcio F. R. Resende, Matias Kirst and Leandro G. Neves and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

R. John Davenport

32 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. John Davenport United States 11 278 191 99 42 23 38 513
Lucile Solér Sweden 9 157 0.6× 155 0.8× 100 1.0× 15 0.4× 11 0.5× 14 345
Suzannah A. Williams United Kingdom 18 439 1.6× 214 1.1× 52 0.5× 127 3.0× 20 0.9× 49 946
María Jiménez‐Movilla Spain 16 331 1.2× 269 1.4× 26 0.3× 66 1.6× 9 0.4× 34 927
Valeria Merico Italy 20 568 2.0× 210 1.1× 134 1.4× 38 0.9× 27 1.2× 47 1.0k
Maura Lane United States 9 537 1.9× 147 0.8× 93 0.9× 18 0.4× 6 0.3× 14 685
David G. Whittingham United Kingdom 18 511 1.8× 383 2.0× 111 1.1× 32 0.8× 14 0.6× 21 1.6k
Aurore Thélie France 15 609 2.2× 302 1.6× 75 0.8× 67 1.6× 4 0.2× 25 1.0k
Kazuhiro Saeki Japan 23 721 2.6× 373 2.0× 69 0.7× 109 2.6× 25 1.1× 76 1.5k
Gen Hiyama Japan 14 142 0.5× 183 1.0× 19 0.2× 26 0.6× 43 1.9× 31 566
Dalton Wang United States 16 269 1.0× 57 0.3× 90 0.9× 11 0.3× 18 0.8× 34 556

Countries citing papers authored by R. John Davenport

Since Specialization
Citations

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

Fields of papers citing papers by R. John Davenport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. John Davenport. 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 R. John Davenport. The network helps show where R. John Davenport may publish in the future.

Co-authorship network of co-authors of R. John Davenport

This figure shows the co-authorship network connecting the top 25 collaborators of R. John Davenport. A scholar is included among the top collaborators of R. John Davenport 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 R. John Davenport. R. John Davenport 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.
Davenport, R. John, Li‐Yaung Kuo, Levi N. Gray, et al.. (2025). The genome of the vining fern Lygodium microphyllum highlights genomic and functional differences between life phases of an invasive plant. Proceedings of the National Academy of Sciences. 122(39). e2504773122–e2504773122.
2.
Davenport, R. John, et al.. (2024). An efficient and effective RNA extraction protocol for ferns. Applications in Plant Sciences. 12(6). e11617–e11617. 1 indexed citations
3.
Battistuzzi, Fabia U., R. John Davenport, A. Mark Settles, et al.. (2022). Genetic analysis of human RNA binding motif protein 48 (RBM48) reveals an essential role in U12-type intron splicing. Genetics. 222(2). 3 indexed citations
4.
Dai, Dawei, Mary Galli, Si Nian Char, et al.. (2022). Paternal imprinting of dosage-effect defective1 contributes to seed weight xenia in maize. Nature Communications. 13(1). 5366–5366. 14 indexed citations
5.
Bai, Fang, R. John Davenport, Guanqiao Feng, et al.. (2019). RNA Binding Motif Protein 48 Is Required for U12 Splicing and Maize Endosperm Differentiation. The Plant Cell. 31(3). 715–733. 26 indexed citations
6.
Brant, Jason O., et al.. (2019). Comparative transcriptomic analysis of dermal wound healing reveals de novo skeletal muscle regeneration in Acomys cahirinus. PLoS ONE. 14(5). e0216228–e0216228. 32 indexed citations
7.
Neves, Leandro G., Márcio F. R. Resende, Ana I. Vázquez, et al.. (2016). Genome‐wide association study reveals putative regulators of bioenergy traits in Populus deltoides. New Phytologist. 213(2). 799–811. 79 indexed citations
8.
Davenport, R. John. (2005). Pay at the Pump. Science of Aging Knowledge Environment. 2005(3). nf6–nf6. 1 indexed citations
9.
Davenport, R. John. (2005). Ties That Bind the Brain. Science of Aging Knowledge Environment. 2005(22). nf40–nf40. 1 indexed citations
10.
Davenport, R. John. (2004). Fork in the Road. Science of Aging Knowledge Environment. 2004(15). nf40–nf40. 1 indexed citations
11.
Davenport, R. John. (2004). A Turn From the Worm. Science of Aging Knowledge Environment. 2004(6). nf16–nf16. 3 indexed citations
12.
Davenport, R. John. (2004). Throwing Fat on the Fire. Science of Aging Knowledge Environment. 2004(11). nf27–nf27. 1 indexed citations
13.
Davenport, R. John. (2002). More Than a Hot Flash. Science of Aging Knowledge Environment. 2002(10). 1 indexed citations
14.
Davenport, R. John. (2002). Big Mac and Flies: Signaling pathway tells insects when food's on the table (Insulin-related signaling). Science of Aging Knowledge Environment. 2002(8). 1 indexed citations
15.
Marth, Gábor, Greg Schuler, R. John Davenport, et al.. (2002). Sequence variations in the public human genome data reflect a bottlenecked population history. Proceedings of the National Academy of Sciences. 100(1). 376–381. 69 indexed citations
16.
Davenport, R. John, Evelyn Strauß, & Kelly LaMarco. (2001). A SAGE KE Primer. Science of Aging Knowledge Environment. 2001(1). vp1–vp1. 1 indexed citations
17.
Marth, Gábor, Matthew Minton, Shenghui Duan, et al.. (2001). Single-nucleotide polymorphisms in the public domain: how useful are they?. Nature Genetics. 27(4). 371–372. 124 indexed citations
18.
Brandhorst, Bruce P. & R. John Davenport. (2001). Skeletogenesis in sea urchin interordinal hybrid embryos. Cell and Tissue Research. 305(1). 159–167. 9 indexed citations
19.
Dunn, Ben M., Paula E. Scarborough, R. John Davenport, & Wiesław Świętnicki. (1994). Analysis of Proteinase Specificity by Studies of Peptide Substrates. Methods in molecular biology. 36. 225–243. 18 indexed citations
20.
Salari, Hassan, et al.. (1992). Inhibition of protein kinase C by ether-linked lipids is not correlated with their antineoplastic activity on WEHI-3B and R6X-B15 cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1134(1). 81–88. 34 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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