Dinh Diep

8.0k total citations · 2 hit papers
18 papers, 3.3k citations indexed

About

Dinh Diep is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Dinh Diep has authored 18 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Hematology. Recurrent topics in Dinh Diep's work include Epigenetics and DNA Methylation (11 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (4 papers). Dinh Diep is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (4 papers). Dinh Diep collaborates with scholars based in United States, Spain and United Kingdom. Dinh Diep's co-authors include Kun Zhang, Nongluk Plongthongkum, Ho-Lim Fung, Hao Wu, Li Shen, Shinpei Yamaguchi, Yi Zhang, Gordon J Strewler, Sergio Ruiz and Athanasia D. Panopoulos and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Dinh Diep

18 papers receiving 3.3k citations

Hit Papers

Increased methylation variation in epigenetic domains acr... 2011 2026 2016 2021 2011 2017 250 500 750
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.

  1. Increased methylation variation in epigenetic domains across cancer types
    2011 752 citations Kasper D. Hansen, Winston Timp et al. Nature Genetics profile →
  2. Identification of methylation haplotype blocks aids in deconvolution of heterogeneous tissue samples and tumor tissue-of-origin mapping from plasma DNA
    2017 330 citations Shicheng Guo, Dinh Diep et al. Nature Genetics profile →

Peers

Dinh Diep
Jeong‐Heon Lee United States
Michelina Iacovino United States
Genta Nagae Japan
Saïd Assou France
Oliver G. McDonald United States
Richard P. Koche United States
Michael Zeschnigk Germany
Sridhar Rao United States
Bernhard Schmierer United Kingdom
Aibin He China
Jeong‐Heon Lee United States
Dinh Diep
Citations per year, relative to Dinh Diep Dinh Diep (= 1×) peers Jeong‐Heon Lee

Countries citing papers authored by Dinh Diep

Since Specialization
Citations

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

Fields of papers citing papers by Dinh Diep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dinh Diep. 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 Dinh Diep. The network helps show where Dinh Diep may publish in the future.

Co-authorship network of co-authors of Dinh Diep

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

All Works

18 of 18 papers shown
1.
Plongthongkum, Nongluk, Dinh Diep, Song Chen, Blue B. Lake, & Kun Zhang. (2021). Scalable dual-omics profiling with single-nucleus chromatin accessibility and mRNA expression sequencing 2 (SNARE-seq2). Nature Protocols. 16(11). 4992–5029. 24 indexed citations
2.
Park, Soohyung, Chan‐Wang Jerry Lio, Edahí González‐Avalos, et al.. (2020). 5-Azacytidine Transiently Restores Dysregulated Erythroid Differentiation Gene Expression in TET2-Deficient Erythroleukemia Cells. Molecular Cancer Research. 19(3). 451–464. 4 indexed citations
3.
Gepshtein, Sergei, et al.. (2020). A perceptual scaling approach to eyewitness identification. Nature Communications. 11(1). 3380–3380. 12 indexed citations
4.
Tanaka, Tiffany, Dinh Diep, Huwate Yeerna, et al.. (2019). DNA methylation identifies genetically and prognostically distinct subtypes of myelodysplastic syndromes. Blood Advances. 3(19). 2845–2858. 28 indexed citations
5.
Diep, Dinh, Nongluk Plongthongkum, & Kun Zhang. (2017). Large-Scale Targeted DNA Methylation Analysis Using Bisulfite Padlock Probes. Methods in molecular biology. 1708. 365–382. 1 indexed citations
6.
Guo, Shicheng, Dinh Diep, Nongluk Plongthongkum, et al.. (2017). Identification of methylation haplotype blocks aids in deconvolution of heterogeneous tissue samples and tumor tissue-of-origin mapping from plasma DNA. Nature Genetics. 49(4). 635–642. 330 indexed citations breakdown →
7.
Plongthongkum, Nongluk, Dinh Diep, & Kun Zhang. (2014). Advances in the profiling of DNA modifications: cytosine methylation and beyond. Nature Reviews Genetics. 15(10). 647–661. 183 indexed citations
8.
Shen, Li, Hao Wu, Dinh Diep, et al.. (2013). Genome-wide Analysis Reveals TET- and TDG-Dependent 5-Methylcytosine Oxidation Dynamics. Cell. 153(3). 692–706. 383 indexed citations
9.
Yamaguchi, Shinpei, Kwonho Hong, Rui Liu, et al.. (2013). 5mC and 5hmC dynamics during PGC reprogramming and role of Tet1 in female meiosis. Epigenetics & Chromatin. 6(S1). 1 indexed citations
10.
Thiele, Ines, Ronan M. T. Fleming, Richard Que, et al.. (2012). Multiscale Modeling of Metabolism and Macromolecular Synthesis in E. coli and Its Application to the Evolution of Codon Usage. PLoS ONE. 7(9). e45635–e45635. 87 indexed citations
11.
Diep, Dinh, Nongluk Plongthongkum, Athurva Gore, et al.. (2012). Library-free methylation sequencing with bisulfite padlock probes. Nature Methods. 9(3). 270–272. 72 indexed citations
12.
Yamaguchi, Shinpei, Kwonho Hong, Rui Liu, et al.. (2012). Tet1 controls meiosis by regulating meiotic gene expression. Nature. 492(7429). 443–447. 235 indexed citations
13.
Ruiz, Sergio, Dinh Diep, Athurva Gore, et al.. (2012). Identification of a specific reprogramming-associated epigenetic signature in human induced pluripotent stem cells. Proceedings of the National Academy of Sciences. 109(40). 16196–16201. 117 indexed citations
14.
Hansen, Kasper D., Winston Timp, Héctor Corrada Bravo, et al.. (2011). Increased methylation variation in epigenetic domains across cancer types. Nature Genetics. 43(8). 768–775. 752 indexed citations breakdown →
15.
Liu, Guang‐Hui, Basam Z. Barkho, Sergio Ruiz, et al.. (2011). Recapitulation of premature ageing with iPSCs from Hutchinson–Gilford progeria syndrome. Nature. 472(7342). 221–225. 414 indexed citations
16.
Panopoulos, Athanasia D., Óscar Yanes, Sergio Ruiz, et al.. (2011). The metabolome of induced pluripotent stem cells reveals metabolic changes occurring in somatic cell reprogramming. Cell Research. 22(1). 168–177. 405 indexed citations
17.
Budayr, Amer, et al.. (1989). High levels of a parathyroid hormone-like protein in milk.. Proceedings of the National Academy of Sciences. 86(18). 7183–7185. 152 indexed citations
18.

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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