Christopher J. Troll

1.0k total citations · 1 hit paper
7 papers, 556 citations indexed

About

Christopher J. Troll is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Christopher J. Troll has authored 7 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Christopher J. Troll's work include DNA Repair Mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Evolution and Genetic Dynamics (2 papers). Christopher J. Troll is often cited by papers focused on DNA Repair Mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Evolution and Genetic Dynamics (2 papers). Christopher J. Troll collaborates with scholars based in United States. Christopher J. Troll's co-authors include Richard E. Green, Marco Blanchette, Brandon Rice, Nicholas H. Putnam, Paul D. Hartley, David Haussler, Robert Calef, Andrew J. Fields, Daniel S. Rokhsar and Brendan L. O’Connell and has published in prestigious journals such as Nucleic Acids Research, Genome Research and BMC Genomics.

In The Last Decade

Christopher J. Troll

7 papers receiving 550 citations

Hit Papers

Chromosome-scale shotgun assembly using an in vitro metho... 2016 2026 2019 2022 2016 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
Christopher J. Troll United States 6 367 221 198 71 49 7 556
Robert Calef United States 3 460 1.3× 277 1.3× 225 1.1× 81 1.1× 63 1.3× 4 702
Brandon Rice United States 3 317 0.9× 219 1.0× 166 0.8× 57 0.8× 49 1.0× 5 495
Joel Armstrong United States 11 428 1.2× 219 1.0× 208 1.1× 49 0.7× 31 0.6× 12 583
Daniel Ence United States 5 439 1.2× 228 1.0× 292 1.5× 123 1.7× 149 3.0× 7 756
Joel Sharbrough United States 14 423 1.2× 204 0.9× 282 1.4× 164 2.3× 126 2.6× 29 726
Jessica M. Storer United States 6 345 0.9× 282 1.3× 118 0.6× 36 0.5× 41 0.8× 14 494
Élodie Gazave United States 19 383 1.0× 445 2.0× 436 2.2× 80 1.1× 36 0.7× 21 921
Daniel Mapleson United Kingdom 9 532 1.4× 390 1.8× 116 0.6× 134 1.9× 67 1.4× 9 897
Giulio Formenti United States 10 301 0.8× 137 0.6× 136 0.7× 57 0.8× 27 0.6× 24 446
Sònia Casillas Spain 13 342 0.9× 136 0.6× 363 1.8× 60 0.8× 61 1.2× 28 664

Countries citing papers authored by Christopher J. Troll

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Troll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher J. Troll

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

All Works

7 of 7 papers shown
1.
Harkins, Kelly M., Nathan K. Schaefer, Christopher J. Troll, et al.. (2020). A novel NGS library preparation method to characterize native termini of fragmented DNA. Nucleic Acids Research. 48(8). e47–e47. 11 indexed citations
2.
Troll, Christopher J., Joshua D. Kapp, Varsha Rao, et al.. (2019). A ligation-based single-stranded library preparation method to analyze cell-free DNA and synthetic oligos. BMC Genomics. 20(1). 1023–1023. 50 indexed citations
3.
Troll, Christopher J., Nicholas H. Putnam, Paul D. Hartley, et al.. (2018). Structural Variation Detection by Proximity Ligation from Formalin-Fixed, Paraffin-Embedded Tumor Tissue. Journal of Molecular Diagnostics. 21(3). 375–383. 8 indexed citations
4.
Putnam, Nicholas H., Brendan L. O’Connell, Brandon Rice, et al.. (2016). Chromosome-scale shotgun assembly using an in vitro method for long-range linkage. Genome Research. 26(3). 342–350. 468 indexed citations breakdown →
5.
Troll, Christopher J., et al.. (2014). Interplay between base excision repair activity and toxicity of 3-methyladenine DNA glycosylases in an E. coli complementation system. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 763-764. 64–73. 4 indexed citations
6.
Alexánder, David, et al.. (2014). Random Mutagenesis by Error-Prone Pol Plasmid Replication in Escherichia coli. Methods in molecular biology. 1179. 31–44. 8 indexed citations
7.
Troll, Christopher J., et al.. (2013). The mutagenic footprint of low-fidelity Pol I ColE1 plasmid replication in E. coli reveals an extensive interplay between Pol I and Pol III. Current Genetics. 60(3). 123–134. 7 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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