Theodore B. Davis

1.4k total citations · 1 hit paper
17 papers, 917 citations indexed

About

Theodore B. Davis is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Theodore B. Davis has authored 17 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Infectious Diseases. Recurrent topics in Theodore B. Davis's work include RNA modifications and cancer (9 papers), Epigenetics and DNA Methylation (9 papers) and Molecular Biology Techniques and Applications (3 papers). Theodore B. Davis is often cited by papers focused on RNA modifications and cancer (9 papers), Epigenetics and DNA Methylation (9 papers) and Molecular Biology Techniques and Applications (3 papers). Theodore B. Davis collaborates with scholars based in United States, Denmark and Canada. Theodore B. Davis's co-authors include Romualdas Vaisvila, Sriharsa Pradhan, Elisabeth Bock, Yigal H. Ehrlich, Elizabeth Kornecki, Robert H. Lenox, Eileen T. Dimalanta, Bradley W. Langhorst, Zhiyi Sun and Thomas C. Evans and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Theodore B. Davis

14 papers receiving 901 citations

Hit Papers

Enzymatic methyl sequencing detects DNA methylation at si... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Theodore B. Davis United States 11 699 124 120 102 65 17 917
Melissa K. Gregory Australia 15 833 1.2× 207 1.7× 121 1.0× 32 0.3× 55 0.8× 23 1.4k
Christopher J. Nelson Canada 16 1.0k 1.5× 108 0.9× 81 0.7× 44 0.4× 35 0.5× 35 1.3k
Claudia Klein United States 20 424 0.6× 244 2.0× 53 0.4× 61 0.6× 33 0.5× 76 1.6k
Brigitte Walderich Germany 18 679 1.0× 182 1.5× 66 0.6× 135 1.3× 164 2.5× 24 1.3k
Marcelo Rosado Fantappíé Brazil 16 415 0.6× 78 0.6× 30 0.3× 159 1.6× 37 0.6× 40 919
Meredith Calvert United States 16 590 0.8× 203 1.6× 99 0.8× 16 0.2× 45 0.7× 29 1.0k
Takuya Akiyama Japan 16 566 0.8× 131 1.1× 35 0.3× 28 0.3× 59 0.9× 35 792
Colin Herd United Kingdom 8 612 0.9× 99 0.8× 38 0.3× 38 0.4× 51 0.8× 9 1.2k
Xiumei Wei China 22 482 0.7× 51 0.4× 69 0.6× 83 0.8× 22 0.3× 71 1.4k
Sergio Vaccari Italy 16 362 0.5× 94 0.8× 24 0.2× 37 0.4× 95 1.5× 22 1.2k

Countries citing papers authored by Theodore B. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Theodore B. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Theodore B. Davis. 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 Theodore B. Davis. The network helps show where Theodore B. Davis may publish in the future.

Co-authorship network of co-authors of Theodore B. Davis

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

All Works

17 of 17 papers shown
2.
Vaisvila, Romualdas, V. K. Chaithanya Ponnaluri, Zhiyi Sun, et al.. (2021). Enzymatic methyl sequencing detects DNA methylation at single-base resolution from picograms of DNA. Genome Research. 31(7). 1280–1289. 262 indexed citations breakdown →
3.
Ponnaluri, V. K. Chaithanya, Louise Williams, Matthew A. Campbell, et al.. (2021). Abstract 2099: EM-seq enables accurate and precise methylome analysis of challenging DNA samples. Cancer Research. 81(13_Supplement). 2099–2099.
4.
Ferchaud, Anne‐Laure, Martin Laporte, Jérémy Le Luyer, et al.. (2019). Absence of founder effect and evidence for adaptive divergence in a recently introduced insular population of white‐tailed deer (Odocoileus virginianus). Molecular Ecology. 29(1). 86–104. 12 indexed citations
5.
Krishnan, Keerthana, Erbay Yigit, Mehmet Karaca, et al.. (2017). Abstract 5406: Low-input transcript profiling with enhanced sensitivity using a highly efficient, low-bias and strand-specific RNA-Seq library preparation method. Cancer Research. 77(13_Supplement). 5406–5406.
6.
Liu, Pingfang, Lixin Chen, Laurence Ettwiller, et al.. (2016). Abstract 3628: Improving sequencing quality of libraries prepared from FFPE DNA. Cancer Research. 76(14_Supplement). 3628–3628. 1 indexed citations
7.
Munafó, Daniela B., Bradley W. Langhorst, Andrew F. Gardner, et al.. (2016). Selective Depletion of Abundant RNAs to Enable Transcriptome Analysis of Low‐Input and Highly Degraded Human RNA. Current Protocols in Molecular Biology. 113(1). 7.22.1–7.22.9. 3 indexed citations
8.
Yigit, Erbay, George R. Feehery, Bradley W. Langhorst, et al.. (2016). A Microbiome DNA Enrichment Method for Next‐Generation Sequencing Sample Preparation. Current Protocols in Molecular Biology. 115(1). 7.26.1–7.26.14. 5 indexed citations
9.
Feehery, George R., Erbay Yigit, Samuel O. Oyola, et al.. (2013). A Method for Selectively Enriching Microbial DNA from Contaminating Vertebrate Host DNA. PLoS ONE. 8(10). e76096–e76096. 141 indexed citations
10.
Liu, Pingfang, Gregory J. S. Lohman, Eric J. Cantor, et al.. (2012). A fast solution to NGS library preparation with low nanogram DNA input. BMC Proceedings. 6(S6).
11.
Davis, Theodore B. & Romualdas Vaisvila. (2011). High Sensitivity 5-hydroxymethylcytosine Detection in Balb/C Brain Tissue. Journal of Visualized Experiments. 18 indexed citations
12.
Cohen-Karni, Devora, Lynne Apone, Alexey Fomenkov, et al.. (2011). The MspJI family of modification-dependent restriction endonucleases for epigenetic studies. Proceedings of the National Academy of Sciences. 108(27). 11040–11045. 105 indexed citations
13.
Davis, Theodore B. & Romualdas Vaisvila. (2011). High Sensitivity 5-hydroxymethylcytosine Detection in Balb/C Brain Tissue. Journal of Visualized Experiments. 44 indexed citations
14.
Morgan, Richard, et al.. (2008). MmeI: a minimal Type II restriction-modification system that only modifies one DNA strand for host protection. Nucleic Acids Research. 36(20). 6558–6570. 48 indexed citations
15.
Grandea, Andres G., et al.. (1989). A λgt11 cDNA recombinant that encodes Dirofilaria immitis paramyosin. Molecular and Biochemical Parasitology. 35(1). 31–41. 27 indexed citations
16.
Philipp, Mario T. & Theodore B. Davis. (1986). Biochemical and immunologic characterization of a major surface antigen of Dirofilaria immitis infective larvae.. The Journal of Immunology. 136(7). 2621–2627. 27 indexed citations
17.
Ehrlich, Yigal H., Theodore B. Davis, Elisabeth Bock, Elizabeth Kornecki, & Robert H. Lenox. (1986). Ecto-protein kinase activity on the external surface of neural cells. Nature. 320(6057). 67–70. 156 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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