Paramita Chatterjee

725 total citations
16 papers, 294 citations indexed

About

Paramita Chatterjee is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Paramita Chatterjee has authored 16 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Immunology. Recurrent topics in Paramita Chatterjee's work include Epigenetics and DNA Methylation (5 papers), Immune cells in cancer (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Paramita Chatterjee is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Immune cells in cancer (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Paramita Chatterjee collaborates with scholars based in United States, Japan and South Korea. Paramita Chatterjee's co-authors include Soojin V. Yi, Hyeonsoo Jeong, Thomas Layman, Kazuya Toriumi, Todd M. Preuss, Noriyoshi Usui, Connor Douglas, Geneviève Konopka, Stefano Berto and Isabel Mendizabal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Paramita Chatterjee

15 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paramita Chatterjee United States	9	183	108	27	25	24	16	294
Zi Chao Zhang China	13	427 2.3×	117 1.1×	64 2.4×	16 0.6×	5 0.2×	21	651
Ana Villalba Spain	8	263 1.4×	63 0.6×	9 0.3×	39 1.6×	113 4.7×	9	423
Josef Večeřa Czechia	13	186 1.0×	86 0.8×	9 0.3×	145 5.8×	22 0.9×	19	409
Juliana Almeida Brazil	9	215 1.2×	73 0.7×	14 0.5×	15 0.6×	56 2.3×	18	406
Nicholas J. Hornstein United States	8	211 1.2×	97 0.9×	9 0.3×	24 1.0×	4 0.2×	19	479
Nan Xu United States	8	234 1.3×	26 0.2×	6 0.2×	64 2.6×	33 1.4×	12	354
Ashwani Choudhary Israel	8	156 0.9×	56 0.5×	7 0.3×	10 0.4×	16 0.7×	12	265
Huiping Tan China	14	301 1.6×	120 1.1×	24 0.9×	7 0.3×	17 0.7×	19	431
Alaura Androschuk Canada	7	120 0.7×	41 0.4×	25 0.9×	26 1.0×	3 0.1×	10	295
María Losada‐Pérez Spain	10	127 0.7×	14 0.1×	21 0.8×	10 0.4×	34 1.4×	20	296

Countries citing papers authored by Paramita Chatterjee

Since Specialization

Citations

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

Fields of papers citing papers by Paramita Chatterjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paramita Chatterjee

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

All Works

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16 of 16 papers shown

Bhatia, Eshant, Paramita Chatterjee, Fang Zhou, et al.. (2025). An immune-competent lung-on-a-chip for modelling the human severe influenza infection response. Nature Biomedical Engineering. 2 indexed citations

Vantucci, Casey E., et al.. (2025). Single-cell transcriptomic analysis identifies systemic immunosuppressive myeloid cells and local monocytes/macrophages as key regulators in polytrauma-induced immune dysregulation. Bone Research. 13(1). 69–69.

Chatterjee, Paramita, Hazel Y. Stevens, Hicham Drissi, et al.. (2024). Single-cell transcriptome and crosstalk analysis reveals immune alterations and key pathways in the bone marrow of knee OA patients. iScience. 27(9). 110827–110827. 7 indexed citations

Chatterjee, Paramita, et al.. (2023). Single-cell epitope-transcriptomics reveal lung stromal and immune cell response kinetics to nanoparticle-delivered RIG-I and TLR4 agonists. Biomaterials. 297. 122097–122097. 4 indexed citations

Jeong, Hyeonsoo, Nicole M. Baran, Dan Sun, et al.. (2022). Dynamic molecular evolution of a supergene with suppressed recombination in white-throated sparrows. eLife. 11. 10 indexed citations

Vantucci, Casey E., Paramita Chatterjee, Angela Lin, et al.. (2022). Systemic Immune Modulation Alters Local Bone Regeneration in a Delayed Treatment Composite Model of Non-Union Extremity Trauma. Frontiers in Surgery. 9. 934773–934773. 2 indexed citations

Cummins, Katherine D., Arjun Gupta, Ofrat Beyar‐Katz, et al.. (2022). G-CSF Mobilized Apheresis As an Alternative Source of CAR T-Cells. Blood. 140(Supplement 1). 7415–7416. 1 indexed citations

Sun, Dan, Thomas Layman, Hyeonsoo Jeong, et al.. (2021). Genome‐wide variation in DNA methylation linked to developmental stage and chromosomal suppression of recombination in white‐throated sparrows. Molecular Ecology. 30(14). 3453–3467. 13 indexed citations

Jeong, Hyeonsoo, Isabel Mendizabal, Stefano Berto, et al.. (2021). Evolution of DNA methylation in the human brain. Nature Communications. 12(1). 2021–2021. 62 indexed citations

10.

Chatterjee, Paramita, Pallab Pradhan, Hazel Y. Stevens, et al.. (2021). Single-cell RNA-seq of out-of-thaw mesenchymal stromal cells shows tissue-of-origin differences and inter-donor cell-cycle variations. Stem Cell Research & Therapy. 12(1). 565–565. 27 indexed citations

11.

Wu, Xin, Amelia R. I. Lindsey, Paramita Chatterjee, et al.. (2020). Distinct epigenomic and transcriptomic modifications associated with Wolbachia-mediated asexuality. PLoS Pathogens. 16(3). e1008397–e1008397. 18 indexed citations

12.

Wu, Xin, David A. Galbraith, Paramita Chatterjee, et al.. (2020). Lineage and Parent-of-Origin Effects in DNA Methylation of Honey Bees (Apis mellifera) Revealed by Reciprocal Crosses and Whole-Genome Bisulfite Sequencing. Genome Biology and Evolution. 12(8). 1482–1492. 16 indexed citations

13.

Berto, Stefano, Isabel Mendizabal, Noriyoshi Usui, et al.. (2019). Accelerated evolution of oligodendrocytes in the human brain. Proceedings of the National Academy of Sciences. 116(48). 24334–24342. 43 indexed citations

14.

Sun, Dan, Donna L. Maney, Thomas Layman, Paramita Chatterjee, & Soojin V. Yi. (2019). Regional epigenetic differentiation of the Z Chromosome between sexes in a female heterogametic system. Genome Research. 29(10). 1673–1684. 14 indexed citations

15.

Mendizabal, Isabel, Stefano Berto, Noriyoshi Usui, et al.. (2019). Cell type-specific epigenetic links to schizophrenia risk in the brain. Genome biology. 20(1). 135–135. 69 indexed citations

16.

Chatterjee, Paramita, Eunyoung Choi, Min Kyung Sung, et al.. (2018). Selection on the regulation of sympathetic nervous activity in humans and chimpanzees. PLoS Genetics. 14(4). e1007311–e1007311. 6 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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