J. Truman

1.4k total citations · 1 hit paper
8 papers, 940 citations indexed

About

J. Truman is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, J. Truman has authored 8 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Plant Science and 1 paper in Genetics. Recurrent topics in J. Truman's work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (3 papers) and Chromosomal and Genetic Variations (3 papers). J. Truman is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (3 papers) and Chromosomal and Genetic Variations (3 papers). J. Truman collaborates with scholars based in United States, China and Canada. J. Truman's co-authors include Steven E. Jacobsen, Suhua Feng, Hume Stroud, Xuehua Zhong, Dinshaw J. Patel, Lianna M. Johnson, Jiamu Du, Nada Jabado, Shriya Deshmukh and Siddhant U. Jain and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

J. Truman

7 papers receiving 932 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Non-CG methylation patterns shape the epigenetic landscape in Arabidopsis

2013 629 citations Hume Stroud, J. Truman et al. Nature Structural & Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Truman United States	7	602	556	100	70	38	8	940
Sophie Germann France	12	545 0.9×	955 1.7×	15 0.1×	41 0.6×	99 2.6×	14	1.1k
Zhenning Liu China	13	434 0.7×	550 1.0×	65 0.7×	30 0.4×	42 1.1×	29	737
Christina Rode Germany	11	143 0.2×	459 0.8×	30 0.3×	44 0.6×	24 0.6×	20	567
Fengtong Li China	13	207 0.3×	168 0.3×	28 0.3×	78 1.1×	35 0.9×	28	440
Soyeon Ahn South Korea	5	54 0.1×	481 0.9×	31 0.3×	80 1.1×	25 0.7×	12	554
Stacey Wood United States	6	470 0.8×	972 1.7×	10 0.1×	74 1.1×	27 0.7×	6	1.0k
Mohammad Alinoor Rahman United States	15	49 0.1×	546 1.0×	43 0.4×	34 0.5×	81 2.1×	24	623
Xiaomeng Shen China	10	492 0.8×	239 0.4×	14 0.1×	295 4.2×	14 0.4×	24	634
Zengqi Wen China	11	96 0.2×	561 1.0×	14 0.1×	51 0.7×	33 0.9×	17	624
Clément Charenton France	9	71 0.1×	793 1.4×	22 0.2×	34 0.5×	80 2.1×	10	843

Countries citing papers authored by J. Truman

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of J. Truman

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

All Works

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8 of 8 papers shown

1.

Truman, J., et al.. (2025). Novel modifiers of oncoprotein-mediated Polycomb inhibition in Drosophila melanogaster. Genetics. 231(3).

2.

Potok, Magdalena E., Zhenhui Zhong, Colette L. Picard, et al.. (2022). The role of ATXR6 expression in modulating genome stability and transposable element repression in Arabidopsis. Proceedings of the National Academy of Sciences. 119(3). 19 indexed citations

3.

Jain, Siddhant U., Andrew Q. Rashoff, Dominik Hoelper, et al.. (2020). H3 K27M and EZHIP Impede H3K27-Methylation Spreading by Inhibiting Allosterically Stimulated PRC2. Molecular Cell. 80(4). 726–735.e7. 94 indexed citations

4.

Jain, Siddhant U., J. Truman, Peder J. Lund, et al.. (2019). PFA ependymoma-associated protein EZHIP inhibits PRC2 activity through a H3 K27M-like mechanism. Nature Communications. 10(1). 2146–2146. 133 indexed citations

5.

Hale, Christopher J., Magdalena E. Potok, J. Truman, et al.. (2016). Identification of Multiple Proteins Coupling Transcriptional Gene Silencing to Genome Stability in Arabidopsis thaliana. PLoS Genetics. 12(6). e1006092–e1006092. 25 indexed citations

6.

Erwin, Graham S., Matthew P. Grieshop, Devesh Bhimsaria, et al.. (2016). Synthetic genome readers target clustered binding sites across diverse chromatin states. Proceedings of the National Academy of Sciences. 113(47). E7418–E7427. 16 indexed citations

7.

Liu, Jitian, J. Truman, Christopher J. Simmons, et al.. (2016). Total synthesis of diptoindonesin G and its analogues as selective modulators of estrogen receptors. Organic & Biomolecular Chemistry. 14(38). 8927–8930. 24 indexed citations

8.

Stroud, Hume, J. Truman, Jiamu Du, et al.. (2013). Non-CG methylation patterns shape the epigenetic landscape in Arabidopsis. Nature Structural & Molecular Biology. 21(1). 64–72. 629 indexed citations breakdown →

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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