Apratim Mitra

1.4k total citations
29 papers, 629 citations indexed

About

Apratim Mitra is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Apratim Mitra has authored 29 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Immunology. Recurrent topics in Apratim Mitra's work include Epigenetics and DNA Methylation (9 papers), Genomics and Chromatin Dynamics (7 papers) and Cancer-related molecular mechanisms research (5 papers). Apratim Mitra is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Genomics and Chromatin Dynamics (7 papers) and Cancer-related molecular mechanisms research (5 papers). Apratim Mitra collaborates with scholars based in United States, China and Austria. Apratim Mitra's co-authors include Karl Pfeifer, Ki-Sun Park, Jiuzhou Song, Juan Luo, Ryan Dale, Judith A. Kassis, Sandip De, Huanmin Zhang, Pedro P. Rocha and George E. Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Apratim Mitra

27 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Apratim Mitra United States 16 477 130 128 115 71 29 629
Kung Ahn South Korea 13 374 0.8× 120 0.9× 75 0.6× 195 1.7× 47 0.7× 41 497
Tara T. Doucet-O’Hare United States 10 510 1.1× 101 0.8× 62 0.5× 410 3.6× 58 0.8× 20 633
Sara R. Heras Spain 17 682 1.4× 88 0.7× 94 0.7× 436 3.8× 88 1.2× 22 841
Anna Bratus-Neuenschwander Switzerland 9 249 0.5× 49 0.4× 83 0.6× 40 0.3× 39 0.5× 23 433
Xiukai Cao China 17 565 1.2× 346 2.7× 401 3.1× 71 0.6× 23 0.3× 68 843
Hegang Li China 10 183 0.4× 100 0.8× 67 0.5× 19 0.2× 35 0.5× 30 366
Deshun Shi China 15 628 1.3× 305 2.3× 86 0.7× 21 0.2× 49 0.7× 110 934
Junichi Todoroki Japan 15 524 1.1× 501 3.9× 76 0.6× 38 0.3× 133 1.9× 19 1.0k

Countries citing papers authored by Apratim Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Apratim Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apratim Mitra

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

All Works

20 of 20 papers shown
1.
Bruno, Melania, Apratim Mitra, Dawn E. Watkins‐Chow, et al.. (2025). Young KRAB-zinc finger gene clusters are highly dynamic incubators of ERV-driven genetic heterogeneity in mice. Nature Communications. 16(1). 9608–9608.
2.
Zuo, Zhenyu, Parirokh Awasthi, Raj Chari, et al.. (2023). Enhancer–promoter interactions can bypass CTCF-mediated boundaries and contribute to phenotypic robustness. Nature Genetics. 55(2). 280–290. 52 indexed citations
3.
Oliver, Jeremie D., Parna Chattaraj, Fahad Kidwai, et al.. (2023). Multimodal spatiotemporal transcriptomic resolution of embryonic palate osteogenesis. Nature Communications. 14(1). 5687–5687. 14 indexed citations
4.
Mitra, Apratim, Roberta Besio, Michael To, et al.. (2023). Absence of TRIC-B from type XIV Osteogenesis Imperfecta osteoblasts alters cell adhesion and mitochondrial function – A multi-omics study. Matrix Biology. 121. 127–148. 8 indexed citations
5.
Rhodes, Christopher T., Joyce J. Thompson, Apratim Mitra, et al.. (2022). An epigenome atlas of neural progenitors within the embryonic mouse forebrain. Nature Communications. 13(1). 4196–4196. 18 indexed citations
6.
Mitra, Apratim, Beenish Rahat, Claudia Gebert, et al.. (2022). Decreasing Wapl dosage partially corrects embryonic growth and brain transcriptome phenotypes in Nipbl +/− embryos. Science Advances. 8(48). eadd4136–eadd4136. 4 indexed citations
7.
Thompson, Joyce J., et al.. (2022). Extensive co-binding and rapid redistribution of NANOG and GATA6 during emergence of divergent lineages. Nature Communications. 13(1). 4257–4257. 26 indexed citations
8.
Park, Ki-Sun, Beenish Rahat, Hyung Chul Lee, et al.. (2021). Cardiac pathologies in mouse loss of imprinting models are due to misexpression of H19 long noncoding RNA. eLife. 10. 8 indexed citations
9.
Mahadevan, Vivek, Apratim Mitra, Yajun Zhang, et al.. (2021). NMDARs Drive the Expression of Neuropsychiatric Disorder Risk Genes Within GABAergic Interneuron Subtypes in the Juvenile Brain. Frontiers in Molecular Neuroscience. 14. 712609–712609. 9 indexed citations
10.
Mitra, Apratim, Kairong Cui, Bin Zhao, et al.. (2020). Ldb1 is required for Lmo2 oncogene–induced thymocyte self-renewal and T-cell acute lymphoblastic leukemia. Blood. 135(25). 2252–2265. 5 indexed citations
11.
Choi, Seeyoung, Ferenc Livák, Bin Zhao, et al.. (2020). CD5 dynamically calibrates basal NF-κB signaling in T cells during thymic development and peripheral activation. Proceedings of the National Academy of Sciences. 117(25). 14342–14353. 28 indexed citations
12.
Duong, ThuyVy, Apratim Mitra, Danielle Springer, et al.. (2018). Conditional ablation and conditional rescue models for Casq2 elucidate the role of development and of cell-type specific expression of Casq2 in the CPVT2 phenotype. Human Molecular Genetics. 27(9). 1533–1544. 9 indexed citations
13.
Park, Ki-Sun, Apratim Mitra, Beenish Rahat, Kee K. Kim, & Karl Pfeifer. (2017). Loss of imprinting mutations define both distinct and overlapping roles for misexpression of IGF2 and of H19 lncRNA. Nucleic Acids Research. 45(22). 12766–12779. 26 indexed citations
14.
De, Sandip, Apratim Mitra, Yuzhong Cheng, Karl Pfeifer, & Judith A. Kassis. (2016). Formation of a Polycomb-Domain in the Absence of Strong Polycomb Response Elements. PLoS Genetics. 12(7). e1006200–e1006200. 32 indexed citations
15.
Mitra, Apratim, Juan Luo, Yanghua He, et al.. (2015). Histone modifications induced by MDV infection at early cytolytic and latency phases. BMC Genomics. 16(1). 311–311. 14 indexed citations
16.
Luo, Juan, Apratim Mitra, Fei Tian, et al.. (2012). Histone Methylation Analysis and Pathway Predictions in Chickens after MDV Infection. PLoS ONE. 7(7). e41849–e41849. 21 indexed citations
17.
Mitra, Apratim, et al.. (2012). Marek’s disease virus infection induces widespread differential chromatin marks in inbred chicken lines. BMC Genomics. 13(1). 557–557. 18 indexed citations
18.
He, Yanghua, Ying Yu, Yuan Zhang, et al.. (2012). Genome-Wide Bovine H3K27me3 Modifications and the Regulatory Effects on Genes Expressions in Peripheral Blood Lymphocytes. PLoS ONE. 7(6). e39094–e39094. 15 indexed citations
19.
Luo, Juan, Apratim Mitra, Shuang Chang, et al.. (2011). Temporal transcriptome changes induced by MDV in marek's disease-resistant and -susceptible inbred chickens. BMC Genomics. 12(1). 501–501. 31 indexed citations
20.
Mitra, Apratim, George E. Liu, & Jiuzhou Song. (2009). A Genome-Wide Analysis of Array-Based Comparative Genomic Hybridization (CGH) Data to Detect Intra-Species Variations and Evolutionary Relationships. PLoS ONE. 4(11). e7978–e7978. 9 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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