Lina Chakrabarti

1.1k total citations
22 papers, 819 citations indexed

About

Lina Chakrabarti is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Lina Chakrabarti has authored 22 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Lina Chakrabarti's work include Viral Infectious Diseases and Gene Expression in Insects (6 papers), Down syndrome and intellectual disability research (5 papers) and CAR-T cell therapy research (4 papers). Lina Chakrabarti is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (6 papers), Down syndrome and intellectual disability research (5 papers) and CAR-T cell therapy research (4 papers). Lina Chakrabarti collaborates with scholars based in United States, United Kingdom and India. Lina Chakrabarti's co-authors include Tarik F. Haydar, Zygmunt Galdzicki, Tyler K. Best, Nathan Cramer, Rosalind S.E. Carney, Anthony D. Sandler, John Isaac, Matthieu Dumont, Rohan Fernandes and Vittorio Gallo and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Lina Chakrabarti

19 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lina Chakrabarti United States 13 365 333 285 140 77 22 819
Koji Hayakawa Japan 13 352 1.0× 146 0.4× 70 0.2× 35 0.3× 26 0.3× 38 585
Alison Bienemann United Kingdom 24 693 1.9× 23 0.1× 233 0.8× 183 1.3× 193 2.5× 42 1.4k
Diego Dolcetta Italy 17 455 1.2× 29 0.1× 183 0.6× 77 0.6× 34 0.4× 25 853
Anne Briançon‐Marjollet France 19 357 1.0× 31 0.1× 95 0.3× 93 0.7× 18 0.2× 41 1.1k
Laura G. Remsen United States 14 107 0.3× 43 0.1× 74 0.3× 112 0.8× 113 1.5× 18 698
Fazel Shabanpoor Australia 23 636 1.7× 648 1.9× 59 0.2× 20 0.1× 58 0.8× 45 1.5k
Anna Kowalczyk Poland 17 434 1.2× 56 0.2× 105 0.4× 50 0.4× 10 0.1× 44 879
Si–Wei You China 17 530 1.5× 44 0.1× 38 0.1× 174 1.2× 57 0.7× 39 1.3k
Murat Yaylaoglu United States 12 621 1.7× 57 0.2× 242 0.8× 129 0.9× 8 0.1× 15 1.1k

Countries citing papers authored by Lina Chakrabarti

Since Specialization
Citations

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

Fields of papers citing papers by Lina Chakrabarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Chakrabarti

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Chakrabarti. A scholar is included among the top collaborators of Lina Chakrabarti 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 Lina Chakrabarti. Lina Chakrabarti 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.
2.
Handlogten, Michael W., Jie Zhu, Lina Li, et al.. (2023). Accelerated cell culture process development and characterization for cilgavimab/tixagevimab (AZD7442) for the prevention and treatment of COVID‐19. Biotechnology and Bioengineering. 122(9). 2308–2318. 3 indexed citations
3.
Nagy, Abdou, et al.. (2023). Engineered CHO cells as a novel AAV production platform for gene therapy delivery. Scientific Reports. 13(1). 19210–19210. 8 indexed citations
4.
Chakrabarti, Lina, Zhuang Li, Gargi Roy, et al.. (2018). Amber suppression coupled with inducible surface display identifies cells with high recombinant protein productivity. Biotechnology and Bioengineering. 116(4). 793–804. 8 indexed citations
5.
Chakrabarti, Lina, et al.. (2018). Mitochondrial membrane potential identifies cells with high recombinant protein productivity. Journal of Immunological Methods. 464. 31–39. 21 indexed citations
6.
7.
Chakrabarti, Lina, et al.. (2015). Combination of Id2 Knockdown Whole Tumor Cells and Checkpoint Blockade: A Potent Vaccine Strategy in a Mouse Neuroblastoma Model. PLoS ONE. 10(6). e0129237–e0129237. 17 indexed citations
8.
Wondimu, Assefa, Yihui Liu, Yan Su, et al.. (2014). Gangliosides Drive the Tumor Infiltration and Function of Myeloid-Derived Suppressor Cells. Cancer Research. 74(19). 5449–5457. 32 indexed citations
9.
Chakrabarti, Lina, Bi‐Dar Wang, Norman H. Lee, & Anthony D. Sandler. (2013). A Mechanism Linking Id2-TGFβ Crosstalk to Reversible Adaptive Plasticity in Neuroblastoma. PLoS ONE. 8(12). e83521–e83521. 20 indexed citations
10.
Chakrabarti, Lina. (2012). Reversible adaptive plasticity: a mechanism for neuroblastoma cell heterogeneity and chemo-resistance. SHILAP Revista de lepidopterología. 2. 82–82. 33 indexed citations
11.
Blanco, Felix C., Priya Srinivasan, Lina Chakrabarti, et al.. (2012). A method for generating antigen specific alloreactive T-cells against murine neuroblastoma. Journal of the American College of Surgeons. 215(3). S74–S74.
12.
Best, Tyler K., Nathan Cramer, Lina Chakrabarti, Tarik F. Haydar, & Zygmunt Galdzicki. (2011). Dysfunctional hippocampal inhibition in the Ts65Dn mouse model of Down syndrome. Experimental Neurology. 233(2). 749–757. 63 indexed citations
13.
Chakrabarti, Lina, Joseph Scafidi, Vittorio Gallo, & Tarik F. Haydar. (2011). Environmental Enrichment Rescues Postnatal Neurogenesis Defect in the Male and Female Ts65Dn Mouse Model of Down Syndrome. Developmental Neuroscience. 33(5). 428–441. 50 indexed citations
14.
Chakrabarti, Lina, Tyler K. Best, Nathan Cramer, et al.. (2010). Olig1 and Olig2 triplication causes developmental brain defects in Down syndrome. Nature Neuroscience. 13(8). 927–934. 170 indexed citations
15.
Slotkin, Jonathan R., Lina Chakrabarti, Hai Ning Dai, et al.. (2007). In vivo quantum dot labeling of mammalian stem and progenitor cells. Developmental Dynamics. 236(12). 3393–3401. 69 indexed citations
16.
Chakrabarti, Lina, Zygmunt Galdzicki, & Tarik F. Haydar. (2007). Defects in Embryonic Neurogenesis and Initial Synapse Formation in the Forebrain of the Ts65Dn Mouse Model of Down Syndrome. Journal of Neuroscience. 27(43). 11483–11495. 156 indexed citations
17.
Jacobowitz, David M., Markus Stoffel, Lina Chakrabarti, et al.. (2006). Elevated Expression of the G-Protein-Activated Inwardly Rectifying Potassium Channel 2 (GIRK2) in Cerebellar Unipolar Brush Cells of a Down Syndrome Mouse Model. Cellular and Molecular Neurobiology. 26(4-6). 717–732. 36 indexed citations
18.
Chakrabarti, Lina, Bidhan C. Bandyopadhyay, & Mrinal K. Poddar. (2001). Age-Associated Hypothalamic Glutamate Receptor Density: Effect of Dietary Protein. Neurochemical Research. 26(2). 145–151. 1 indexed citations
19.
Chakrabarti, Lina, Bidhan C. Bandyopadhyay, & Mrinal K. Poddar. (2001). Is Age-induced Decline in Immune Response Associated with Hypothalamic Glutamate Receptor Density and Dietary Protein?. Nutritional Neuroscience. 4(5). 375–387. 6 indexed citations
20.
Poddar, Mrinal K., Bidhan C. Bandyopadhyay, & Lina Chakrabarti. (2000). Dietary protein alters age-induced change in hypothalamic GABA and immune response. Neuroscience. 97(2). 405–409. 7 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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