Thomas C. Evans

7.1k total citations · 2 hit papers
85 papers, 5.3k citations indexed

About

Thomas C. Evans is a scholar working on Molecular Biology, Aging and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thomas C. Evans has authored 85 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 11 papers in Aging and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thomas C. Evans's work include RNA and protein synthesis mechanisms (25 papers), RNA Research and Splicing (14 papers) and Genetics, Aging, and Longevity in Model Organisms (11 papers). Thomas C. Evans is often cited by papers focused on RNA and protein synthesis mechanisms (25 papers), RNA Research and Splicing (14 papers) and Genetics, Aging, and Longevity in Model Organisms (11 papers). Thomas C. Evans collaborates with scholars based in United States, France and Canada. Thomas C. Evans's co-authors include Ming‐Qun Xu, Nathan A. Tanner, Yinhua Zhang, Jack S. Benner, Judith Kimble, Sarah L. Crittenden, Lixin Chen, Gregory J. S. Lohman, Emily R. Troemel and Voula Kodoyianni and has published in prestigious journals such as Science, Cell and Chemical Reviews.

In The Last Decade

Thomas C. Evans

82 papers receiving 5.2k citations

Hit Papers

Visual Detection of Isothermal Nucleic Acid Amplification... 2015 2026 2018 2022 2015 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas C. Evans United States 37 4.1k 803 797 507 431 85 5.3k
Jessica R. Ingram United States 34 2.5k 0.6× 319 0.4× 121 0.2× 560 1.1× 843 2.0× 46 4.6k
Julie E. Norville United States 8 8.2k 2.0× 344 0.4× 586 0.7× 1.8k 3.6× 53 0.1× 12 8.9k
Ambrosius P. Snijders United Kingdom 49 7.5k 1.8× 244 0.3× 255 0.3× 1.2k 2.4× 73 0.2× 151 10.4k
Blake Wiedenheft United States 40 7.0k 1.7× 419 0.5× 303 0.4× 1.6k 3.2× 112 0.3× 82 8.1k
Rudolf Geyer Germany 48 4.7k 1.1× 111 0.1× 109 0.1× 489 1.0× 552 1.3× 244 7.5k
Mary‐Jane Gething United States 29 6.7k 1.6× 86 0.1× 164 0.2× 866 1.7× 516 1.2× 47 9.7k
Carl L. Schildkraut United States 50 7.8k 1.9× 227 0.3× 170 0.2× 1.6k 3.2× 115 0.3× 120 9.6k
Jonathan R. Warner United States 72 13.2k 3.2× 258 0.3× 115 0.1× 1.1k 2.1× 219 0.5× 158 15.0k
Thoru Pederson United States 58 9.2k 2.2× 133 0.2× 109 0.1× 797 1.6× 208 0.5× 224 10.3k
Yizhi Jane Tao United States 36 2.1k 0.5× 653 0.8× 57 0.1× 594 1.2× 119 0.3× 76 5.4k

Countries citing papers authored by Thomas C. Evans

Since Specialization
Citations

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

Fields of papers citing papers by Thomas C. Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas C. Evans. 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 Thomas C. Evans. The network helps show where Thomas C. Evans may publish in the future.

Co-authorship network of co-authors of Thomas C. Evans

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas C. Evans. A scholar is included among the top collaborators of Thomas C. Evans 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 Thomas C. Evans. Thomas C. Evans 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.
Lin, Yu‐Cheng, Alexey Fomenkov, Brian P. Anton, et al.. (2021). Rapid identification of methylase specificity (RIMS-seq) jointly identifies methylated motifs and generates shotgun sequencing of bacterial genomes. Nucleic Acids Research. 49(19). e113–e113. 11 indexed citations
3.
4.
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 →
5.
Evans, Thomas C., et al.. (2020). Novel ribonucleotide discrimination in the RNA polymerase-like two-barrel catalytic core of Family D DNA polymerases. Nucleic Acids Research. 48(21). 12204–12218. 8 indexed citations
6.
Потапов, В. А., Lisa L. Maduzia, Lixin Chen, et al.. (2019). RADAR-seq: A RAre DAmage and Repair sequencing method for detecting DNA damage on a genome-wide scale. DNA repair. 80. 36–44. 24 indexed citations
7.
Hunt, Eric A., Thomas C. Evans, & Nathan A. Tanner. (2018). Single-stranded binding proteins and helicase enhance the activity of prokaryotic argonautes in vitro. PLoS ONE. 13(8). e0203073–e0203073. 21 indexed citations
8.
Chen, Lixin, Pingfang Liu, Thomas C. Evans, & Laurence Ettwiller. (2017). DNA damage is a pervasive cause of sequencing errors, directly confounding variant identification. Science. 355(6326). 752–756. 145 indexed citations
9.
Lohman, Gregory J. S., et al.. (2015). A high-throughput assay for the comprehensive profiling of DNA ligase fidelity. Nucleic Acids Research. 44(2). e14–e14. 46 indexed citations
10.
Lohman, Gregory J. S., Yinhua Zhang, Alexander Zhelkovsky, Eric J. Cantor, & Thomas C. Evans. (2013). Efficient DNA ligation in DNA–RNA hybrid helices by Chlorella virus DNA ligase. Nucleic Acids Research. 42(3). 1831–1844. 77 indexed citations
11.
Hubstenberger, Arnaud, et al.. (2012). A network of PUF proteins and Ras signaling promote mRNA repression and oogenesis in C. elegans. Developmental Biology. 366(2). 218–231. 19 indexed citations
12.
Evans, Thomas C. & Ming‐Qun Xu. (2011). Heterologous gene expression in E. coli : methods and protocols. Humana Press eBooks. 14 indexed citations
13.
Evans, Thomas C. & Ming‐Qun Xu. (2010). Heterologous Gene Expression in E.coli. Methods in molecular biology. 21 indexed citations
14.
Lublin, Alex L. & Thomas C. Evans. (2006). The RNA-binding proteins PUF-5, PUF-6, and PUF-7 reveal multiple systems for maternal mRNA regulation during C. elegans oogenesis. Developmental Biology. 303(2). 635–649. 50 indexed citations
15.
Barbee, Scott A. & Thomas C. Evans. (2006). The Sm proteins regulate germ cell specification during early C. elegans embryogenesis. Developmental Biology. 291(1). 132–143. 25 indexed citations
16.
Xu, Ming‐Qun & Thomas C. Evans. (2005). Recent advances in protein splicing: manipulating proteins in vitro and in vivo. Current Opinion in Biotechnology. 16(4). 440–446. 43 indexed citations
17.
Chen, Lixin, Sriharsa Pradhan, & Thomas C. Evans. (2001). Herbicide resistance from a divided EPSPS protein: the split Synechocystis DnaE intein as an in vivo affinity domain. Gene. 263(1-2). 39–48. 36 indexed citations
18.
Crittenden, Sarah L., et al.. (1997). Genes Required for GLP-1 Asymmetry in the EarlyCaenorhabditis elegansEmbryo. Developmental Biology. 181(1). 36–46. 29 indexed citations
19.
Evans, Thomas C. & David Lee Nelson. (1989). New mutants of Paramecium tetraurelia defective in a calcium control mechanism: genetic and behavioral characterizations.. Genetics. 121(3). 491–500. 7 indexed citations
20.
Evans, Thomas C. & Ian Morrison. (1984). Sensitivity to Retinal Defocus with Aspheric Soft Lenses—Predictions and Clinical Validation. Optometry and Vision Science. 61(12). 729–736. 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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