George Maiti

432 total citations
13 papers, 299 citations indexed

About

George Maiti is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, George Maiti has authored 13 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in George Maiti's work include Corneal Surgery and Treatments (5 papers), Immune Response and Inflammation (4 papers) and Corneal surgery and disorders (4 papers). George Maiti is often cited by papers focused on Corneal Surgery and Treatments (5 papers), Immune Response and Inflammation (4 papers) and Corneal surgery and disorders (4 papers). George Maiti collaborates with scholars based in United States, India and Ireland. George Maiti's co-authors include Malini Sen, Debdut Naskar, Shukti Chakravarti, Vishal Shinde, Dhrubajyoti Chattopadhyay, Arunava Roy, Nan Hu, Azza Maktabi, Albert S. Jun and Alka Mahale and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Scientific Reports.

In The Last Decade

George Maiti

12 papers receiving 296 citations

Peers

George Maiti
Michelle Lin United States
Wanwen Lan Singapore
Seakwoo Lee United States
Irene Keitelman Argentina
Jie Zhang-Hoover United States
S. Ray United States
Shahrzad Lighvani United States
Michelle Lin United States
George Maiti
Citations per year, relative to George Maiti George Maiti (= 1×) peers Michelle Lin

Countries citing papers authored by George Maiti

Since Specialization
Citations

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

Fields of papers citing papers by George Maiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Maiti

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

All Works

13 of 13 papers shown
1.
Khodadadi‐Jamayran, Alireza, et al.. (2024). Matrix glycosaminoglycans and proteoglycans in human cornea organoids and similarities with fetal corneal stages. The Ocular Surface. 35. 68–80. 1 indexed citations
2.
Wang, Yin‐Hu, George Maiti, Fang Zhou, et al.. (2024). IFN-γ–producing T H 1 cells and dysfunctional regulatory T cells contribute to the pathogenesis of Sjögren’s disease. Science Translational Medicine. 16(778). eado4856–eado4856. 15 indexed citations
4.
Maiti, George, et al.. (2023). Three-Dimensional Modeling of CpG DNA Binding with Matrix Lumican Shows Leucine-Rich Repeat Motif Involvement as in TLR9-CpG DNA Interactions. International Journal of Molecular Sciences. 24(19). 14990–14990. 1 indexed citations
5.
Maiti, George, Nan Hu, Igor Dolgalev, et al.. (2022). Single cell RNA-seq of human cornea organoids identifies cell fates of a developing immature cornea. PNAS Nexus. 1(5). pgac246–pgac246. 21 indexed citations
6.
Shinde, Vishal, Nara Sobreira, Elizabeth Wohler, et al.. (2021). Pathogenic alleles in microtubule, secretory granule and extracellular matrix-related genes in familial keratoconus. Human Molecular Genetics. 30(8). 658–671. 17 indexed citations
7.
Maiti, George, Asim Biswas, Vishal Shinde, et al.. (2021). Matrix lumican endocytosed by immune cells controls receptor ligand trafficking to promote TLR4 and restrict TLR9 in sepsis. Proceedings of the National Academy of Sciences. 118(27). 33 indexed citations
8.
Biswas, Asim, et al.. (2021). Tapping the immunological imprints to design chimeric SARS-CoV-2 vaccine for elderly population. International Reviews of Immunology. 41(4). 448–463. 5 indexed citations
9.
Shinde, Vishal, Nan Hu, Alka Mahale, et al.. (2020). RNA sequencing of corneas from two keratoconus patient groups identifies potential biomarkers and decreased NRF2-antioxidant responses. Scientific Reports. 10(1). 9907–9907. 48 indexed citations
10.
Maiti, George, et al.. (2016). Small leucine-rich repeat proteoglycans in corneal inflammation and wound healing. Experimental Eye Research. 151. 142–149. 32 indexed citations
11.
Naskar, Debdut, et al.. (2014). Wnt5a–Rac1–NF-κB Homeostatic Circuitry Sustains Innate Immune Functions in Macrophages. The Journal of Immunology. 192(9). 4386–4397. 58 indexed citations
12.
Naskar, Debdut, et al.. (2014). Wnt5a-Rac1-NF-kB Homeostatic Circuitry Sustains Innate Immune Functions in Macrophages.
13.
Maiti, George, Debdut Naskar, & Malini Sen. (2012). The Wingless homolog Wnt5a stimulates phagocytosis but not bacterial killing. Proceedings of the National Academy of Sciences. 109(41). 16600–16605. 58 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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