Christopher J. Troll
Impact in
- Genetics top 10%
- Genetic diversity and population structure
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant Virus Research Studies
- Plant Disease Resistance and Genetics
Papers in
-
- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
- Genomics and Phylogenetic Studies 1
- DNA and Nucleic Acid Chemistry 1
- Genetics 3
- Bacterial Genetics and Biotechnology 3
- Evolution and Genetic Dynamics 2
- Co-authors
- Richard E. Green (4 shared papers)Andrew J. Fields (1 shared paper)Brandon Rice (2 shared papers)Robert Calef (1 shared paper)David Haussler (1 shared paper)Nicholas H. Putnam (2 shared papers)Daniel S. Rokhsar (1 shared paper)Marco Blanchette (2 shared papers)
- Journals
- Nucleic Acids Research (1 paper)BMC Genomics (1 paper)Current Genetics (1 paper)Mutation research. Fundamental and molecular mechanisms of mutagenesis (1 paper)Genome Research (1 paper)
- Partner nations
- United States
In The Last Decade
Christopher J. Troll
7 papers receiving 564 citations
Christopher J. Troll's Hit Papers
Peers
Comparison fields: 5 of 65
- Genetics 186
- Plant Science 197
- Horticulture 5
- Molecular Biology 337
- Insect Science 37
Countries citing papers authored by Christopher J. Troll
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
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-authors
The 25 scholars most cited alongside Christopher J. Troll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Chromosome-scale shotgun assembly using an in vitro method for long-range linkage Hit paper breakdown → | 2016 | 475 |
| 2 | 2019 | 51 | |
| 3 | 2020 | 12 | |
| 4 | 2018 | 10 | |
| 5 | 2014 | 8 | |
| 6 | 2013 | 7 | |
| 7 | 2014 | 4 |
About Christopher J. Troll
Christopher J. Troll is a scholar working on Molecular Biology, Genetics, Plant Science, Cancer Research and Infectious Diseases, having authored 7 papers that have together received 567 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers), Genomics and Chromatin Dynamics (2 papers), Evolution and Genetic Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), Genomics and Phylogenetic Studies (1 paper), Cancer Genomics and Diagnostics (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Genetics (186 citations), Plant Science (197 citations), Horticulture (5 citations), Molecular Biology (337 citations) and Insect Science (37 citations). Christopher J. Troll has collaborated with scholars based in United States. Frequent co-authors include Richard E. Green, Andrew J. Fields, Brandon Rice, Robert Calef, David Haussler, Nicholas H. Putnam, Daniel S. Rokhsar, Marco Blanchette, Brendan L. O’Connell and Paul D. Hartley. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, Current Genetics, Mutation research. Fundamental and molecular mechanisms of mutagenesis and Genome Research.
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.