Robert J. Trachman

689 total citations
17 papers, 473 citations indexed

About

Robert J. Trachman is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Robert J. Trachman has authored 17 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Robert J. Trachman's work include RNA and protein synthesis mechanisms (15 papers), DNA and Nucleic Acid Chemistry (10 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Robert J. Trachman is often cited by papers focused on RNA and protein synthesis mechanisms (15 papers), DNA and Nucleic Acid Chemistry (10 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Robert J. Trachman collaborates with scholars based in United States, Canada and France. Robert J. Trachman's co-authors include A.R. Ferré-D′Amaré, Peter J. Unrau, Sunny C.Y. Jeng, Razvan Cojocaru, Michaël Ryckelynck, Jay R. Knutson, Matthew Lau, Amir Abdolahzadeh, Alessio Andreoni and N. Demeshkina and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Robert J. Trachman

17 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert J. Trachman United States 10 452 37 35 21 17 17 473
Amir Abdolahzadeh Canada 6 494 1.1× 80 2.2× 31 0.9× 25 1.2× 17 1.0× 9 544
Razvan Cojocaru Canada 7 552 1.2× 69 1.9× 34 1.0× 26 1.2× 10 0.6× 8 589
Adam D. Cawte United Kingdom 3 296 0.7× 38 1.0× 16 0.5× 17 0.8× 21 1.2× 5 331
Chiran Ghimire United States 11 476 1.1× 43 1.2× 35 1.0× 14 0.7× 5 0.3× 16 504
Mahdi Zeraati Australia 6 452 1.0× 28 0.8× 45 1.3× 27 1.3× 4 0.2× 8 509
Benjamin Stevens United States 7 310 0.7× 32 0.9× 17 0.5× 30 1.4× 11 0.6× 8 355
Yongmoon Jeon South Korea 8 281 0.6× 35 0.9× 8 0.2× 25 1.2× 14 0.8× 11 331
Tomáš Dršata Czechia 12 413 0.9× 55 1.5× 101 2.9× 16 0.8× 5 0.3× 18 449
Joe C. Liang United States 7 520 1.2× 77 2.1× 22 0.6× 16 0.8× 10 0.6× 7 539
Bishnu P. Paudel Australia 9 285 0.6× 24 0.6× 24 0.7× 32 1.5× 5 0.3× 15 351

Countries citing papers authored by Robert J. Trachman

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Trachman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Trachman. 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 Robert J. Trachman. The network helps show where Robert J. Trachman may publish in the future.

Co-authorship network of co-authors of Robert J. Trachman

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Trachman. A scholar is included among the top collaborators of Robert J. Trachman 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 Robert J. Trachman. Robert J. Trachman 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
1.
Eeuwen, Trevor van, Hua Jiang, Alison D. O’Brien, et al.. (2025). Rapid DNA cleavage by the LINE-1 endonuclease proximal to DNA ends and at mismatches. Journal of Biological Chemistry. 302(1). 110994–110994. 1 indexed citations
2.
Potapov, Vladimir, Sean Maguire, Shengxi Guan, et al.. (2024). Discrete measurements of RNA polymerase and reverse transcriptase fidelity reveal evolutionary tuning. RNA. 30(9). 1246–1258. 1 indexed citations
3.
Trachman, Robert J., et al.. (2022). The bacterial yjdF riboswitch regulates translation through its tRNA-like fold. Journal of Biological Chemistry. 298(6). 101934–101934. 2 indexed citations
4.
Trachman, Robert J., et al.. (2022). Characterizing Fluorescence Properties of Turn-on RNA Aptamers. Methods in molecular biology. 2568. 25–36. 2 indexed citations
5.
Trachman, Robert J. & A.R. Ferré-D′Amaré. (2021). An uncommon [K+(Mg2+)2] metal ion triad imparts stability and selectivity to the Guanidine-I riboswitch. RNA. 27(10). 1257–1264. 7 indexed citations
6.
Trachman, Robert J., Razvan Cojocaru, Di Wu, et al.. (2020). Structure-Guided Engineering of the Homodimeric Mango-IV Fluorescence Turn-on Aptamer Yields an RNA FRET Pair. Structure. 28(7). 776–785.e3. 25 indexed citations
7.
Jeng, Sunny C.Y., Robert J. Trachman, Mette D. E. Jepsen, et al.. (2020). Fluorogenic aptamers resolve the flexibility of RNA junctions using orientation-dependent FRET. RNA. 27(4). 433–444. 26 indexed citations
8.
Trachman, Robert J., Alexis Autour, Sunny C.Y. Jeng, et al.. (2019). Structure and functional reselection of the Mango-III fluorogenic RNA aptamer. Nature Chemical Biology. 15(5). 472–479. 105 indexed citations
9.
Trachman, Robert J., Jason R. Stagno, Chelsie E. Conrad, et al.. (2019). Co-crystal structure of the iMango-III fluorescent RNA aptamer using an X-ray free-electron laser. Acta Crystallographica Section F Structural Biology Communications. 75(8). 547–551. 5 indexed citations
10.
Trachman, Robert J. & A.R. Ferré-D′Amaré. (2019). Tracking RNA with light: selection, structure, and design of fluorescence turn-on RNA aptamers. Quarterly Reviews of Biophysics. 52. e8–e8. 57 indexed citations
11.
Jones, Christopher P., Chelsie E. Conrad, Jason R. Stagno, et al.. (2019). Co-crystal structure of the Fusobacterium ulcerans ZTP riboswitch using an X-ray free-electron laser. Acta Crystallographica Section F Structural Biology Communications. 75(7). 496–500. 1 indexed citations
12.
Trachman, Robert J., Amir Abdolahzadeh, Alessio Andreoni, et al.. (2018). Crystal Structures of the Mango-II RNA Aptamer Reveal Heterogeneous Fluorophore Binding and Guide Engineering of Variants with Improved Selectivity and Brightness. Biochemistry. 57(26). 3544–3548. 55 indexed citations
13.
Trachman, Robert J. & David E. Draper. (2017). Divalent ion competition reveals reorganization of an RNA ion atmosphere upon folding. Nucleic Acids Research. 45(8). gkw1327–gkw1327. 13 indexed citations
14.
Trachman, Robert J., N. Demeshkina, Matthew Lau, et al.. (2017). Structural basis for high-affinity fluorophore binding and activation by RNA Mango. Nature Chemical Biology. 13(7). 807–813. 104 indexed citations
15.
Trachman, Robert J., et al.. (2017). Structural Principles of Fluorescent RNA Aptamers. Trends in Pharmacological Sciences. 38(10). 928–939. 46 indexed citations
16.
Lau, Matthew, Robert J. Trachman, & A.R. Ferré-D′Amaré. (2016). A divalent cation-dependent variant of the glmS ribozyme with stringent Ca2+ selectivity co-opts a preexisting nonspecific metal ion-binding site. RNA. 23(3). 355–364. 12 indexed citations
17.
Trachman, Robert J. & David E. Draper. (2013). Comparison of Interactions of Diamine and Mg2+ with RNA Tertiary Structures: Similar versus Differential Effects on the Stabilities of Diverse RNA Folds. Biochemistry. 52(34). 5911–5919. 11 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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