J. Truman
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Chromosomal and Genetic Variations
- Legume Nitrogen Fixing Symbiosis
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
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- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 3
- RNA and protein synthesis mechanisms 1
- DNA Repair Mechanisms 1
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- Chromosomal and Genetic Variations 3
- Plant nutrient uptake and metabolism 1
- Co-authors
- Steven E. Jacobsen (3 shared papers)Suhua Feng (2 shared papers)Xuehua Zhong (1 shared paper)Lianna M. Johnson (1 shared paper)Dinshaw J. Patel (1 shared paper)Hume Stroud (1 shared paper)Jiamu Du (1 shared paper)Siddhant U. Jain (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Journal of Investigative Dermatology (1 paper)Nature Structural & Molecular Biology (1 paper)Genetics (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
J. Truman
7 papers receiving 988 citations
J. Truman's Hit Papers
Peers
Comparison fields: 5 of 59
- Plant Science 621
- Genetics 104
- Molecular Biology 560
- Horticulture 5
- Structural Biology 4
Countries citing papers authored by J. Truman
This map shows the geographic impact of J. Truman'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 J. Truman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Truman more than expected).
Fields of papers citing papers by J. Truman
This network shows the impact of papers produced by J. Truman. 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 J. Truman. The network helps show where J. Truman may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Truman, 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 | Non-CG methylation patterns shape the epigenetic landscape in Arabidopsis Hit paper breakdown → | 2013 | 668 |
| 2 | 2019 | 138 | |
| 3 | 2020 | 100 | |
| 4 | 2016 | 26 | |
| 5 | 2016 | 26 | |
| 6 | 2022 | 21 | |
| 7 | 2016 | 17 | |
| 8 | 2025 | 0 | |
| 9 | 2018 | 0 |
About J. Truman
J. Truman is a scholar working on Molecular Biology, Plant Science, Genetics, Ecology and Toxicology, having authored 9 papers that have together received 996 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (3 papers), Chromosomal and Genetic Variations (3 papers), RNA and protein synthesis mechanisms (1 paper), DNA Repair Mechanisms (1 paper), Synthesis and Biological Activity (1 paper), Bioactive Compounds and Antitumor Agents (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Plant Science (621 citations), Genetics (104 citations), Molecular Biology (560 citations), Horticulture (5 citations) and Structural Biology (4 citations). J. Truman has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Steven E. Jacobsen, Suhua Feng, Xuehua Zhong, Lianna M. Johnson, Dinshaw J. Patel, Hume Stroud, Jiamu Du, Siddhant U. Jain, Nikoleta Juretic and Nada Jabado. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Journal of Investigative Dermatology, Nature Structural & Molecular Biology and Genetics.
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.