Amitabha Chakrabarti

2.6k total citations
91 papers, 2.0k citations indexed

About

Amitabha Chakrabarti is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology. According to data from OpenAlex, Amitabha Chakrabarti has authored 91 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 27 papers in Materials Chemistry and 13 papers in Cell Biology. Recurrent topics in Amitabha Chakrabarti's work include Block Copolymer Self-Assembly (14 papers), Material Dynamics and Properties (13 papers) and Theoretical and Computational Physics (11 papers). Amitabha Chakrabarti is often cited by papers focused on Block Copolymer Self-Assembly (14 papers), Material Dynamics and Properties (13 papers) and Theoretical and Computational Physics (11 papers). Amitabha Chakrabarti collaborates with scholars based in United States, India and Australia. Amitabha Chakrabarti's co-authors include G. Brown, Emmanuel S. Onaivi, Heide Schatten, C. M. Sorensen, Umadas Maitra, Hao Chen, Gautam Chaudhuri, Marian L. Lewis, J. D. Gunton and Zhengping Zhang and has published in prestigious journals such as Physical Review Letters, Journal of Biological Chemistry and The Journal of Chemical Physics.

In The Last Decade

Amitabha Chakrabarti

90 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amitabha Chakrabarti United States 28 640 445 267 266 214 91 2.0k
Satoshi Okada Japan 28 740 1.2× 430 1.0× 50 0.2× 129 0.5× 102 0.5× 149 2.5k
Dan Shi United States 39 1.3k 2.1× 2.0k 4.4× 215 0.8× 42 0.2× 235 1.1× 135 4.9k
Jianxin Shen China 27 371 0.6× 717 1.6× 117 0.4× 522 2.0× 328 1.5× 81 2.5k
Yasuharu Nakamura Japan 32 460 0.7× 762 1.7× 64 0.2× 210 0.8× 348 1.6× 128 3.5k
Takashi Hasegawa Japan 29 382 0.6× 888 2.0× 230 0.9× 67 0.3× 50 0.2× 162 3.1k
Martin Muschol United States 27 1.1k 1.8× 1.4k 3.2× 47 0.2× 72 0.3× 220 1.0× 50 2.7k
Philip L. Taylor United States 30 805 1.3× 500 1.1× 97 0.4× 169 0.6× 147 0.7× 159 3.4k
H. Metzger Germany 21 295 0.5× 406 0.9× 55 0.2× 92 0.3× 159 0.7× 88 1.5k
Dávid Becker United States 32 291 0.5× 1.4k 3.1× 74 0.3× 33 0.1× 86 0.4× 128 3.6k
Takashi Teramoto Japan 22 280 0.4× 257 0.6× 54 0.2× 61 0.2× 208 1.0× 72 1.4k

Countries citing papers authored by Amitabha Chakrabarti

Since Specialization
Citations

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

Fields of papers citing papers by Amitabha Chakrabarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amitabha Chakrabarti

This figure shows the co-authorship network connecting the top 25 collaborators of Amitabha Chakrabarti. A scholar is included among the top collaborators of Amitabha 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 Amitabha Chakrabarti. Amitabha 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.
Chakrabarti, Amitabha, et al.. (2023). Ganglioneuroma presenting as subpulmonic effusion—a differential to consider?. Indian Journal of Thoracic and Cardiovascular Surgery. 39(5). 526–530.
2.
Singh, Ajeet, et al.. (2018). TORC1‐signalling is down‐regulated in Saccharomyces cerevisiaehsp30Δ cells by SNF1‐dependent mechanisms. Yeast. 35(12). 653–667. 4 indexed citations
3.
Chauhan, Nishant Ranjan, et al.. (2017). Heat stress modulated gastrointestinal barrier dysfunction: role of tight junctions and heat shock proteins. Scandinavian Journal of Gastroenterology. 52(12). 1315–1319. 34 indexed citations
4.
Chakrabarti, Amitabha, et al.. (2015). A light-scattering study of the scattering matrix elements of Arizona Road Dust. Journal of Quantitative Spectroscopy and Radiative Transfer. 163. 72–79. 31 indexed citations
5.
Chakrabarti, Amitabha, Kalpana Gupta, Jinbo Yang, et al.. (2012). ATP Depletion Triggers Acute Myeloid Leukemia Differentiation through an ATR/Chk1 Protein-dependent and p53 Protein-independent Pathway. Journal of Biological Chemistry. 287(28). 23635–23643. 11 indexed citations
6.
Chakrabarti, Amitabha, et al.. (2012). Assessment of prognostic factors for locally advanced breast cancer.. PubMed. 110(5). 284–6. 1 indexed citations
7.
Heinson, William R., C. M. Sorensen, & Amitabha Chakrabarti. (2012). Shear History Independence in Colloidal Aggregation. Langmuir. 28(31). 11337–11342. 10 indexed citations
8.
Gupta, Kalpana, Amitabha Chakrabarti, Bryan L. Roth, et al.. (2011). Securinine, a Myeloid Differentiation Agent with Therapeutic Potential for AML. PLoS ONE. 6(6). e21203–e21203. 52 indexed citations
9.
10.
Gupta, Kalpana, José A. Gómez, Shigemi Matsuyama, et al.. (2010). Securinine induces p73‐dependent apoptosis preferentially in p53‐deficient colon cancer cells. The FASEB Journal. 24(6). 2126–2134. 35 indexed citations
11.
Chakrabarti, Amitabha, et al.. (2007). Dynamic Light Scattering Study of Carbon Nanoparticles Aggregating in Aerosol Phase. APS March Meeting Abstracts. 1 indexed citations
12.
Chakrabarti, Amitabha, et al.. (2007). Computer simulation of phase separation under a double temperature quench. The Journal of Chemical Physics. 126(15). 154509–154509. 2 indexed citations
13.
Shelton, Richard C., Liang Shan, Peng Liang, et al.. (2003). Differential Expression of Pentraxin 3 in Fibroblasts from Patients with Major Depression. Neuropsychopharmacology. 29(1). 126–132. 16 indexed citations
14.
Chakrabarti, Amitabha, et al.. (2000). From fertilization to cancer: The role of centrosomes in the union and separation of genomic material. Microscopy Research and Technique. 49(5). 420–427. 17 indexed citations
15.
Schatten, Heide, et al.. (1999). Utilization of the aquatic research facility and fertilization syringe unit to study sea urchin development in space.. PubMed. 6(2). 43–53. 1 indexed citations
16.
Onaivi, Emmanuel S., et al.. (1998). In Vivo Ibogaine Blockade and In Vitro PKC Action of Cocainea. Annals of the New York Academy of Sciences. 844(1). 227–244. 11 indexed citations
17.
Chakrabarti, Amitabha, Emmanuel S. Onaivi, & Gautam Chaudhuri. (1995). Cloning and sequencing of a cDNA encoding the mouse brain-type cannabinoid receptor protein. DNA sequence. 5(6). 385–388. 90 indexed citations
18.
Chen, Hao & Amitabha Chakrabarti. (1995). Effects of grafting geometry and solvent quality on the structure of bimodal polymer brushes. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 52(4). 3915–3922. 5 indexed citations
19.
Chakrabarti, Amitabha & J. D. Gunton. (1993). Lamellar phase in a model for block copolymers. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 47(2). R792–R795. 22 indexed citations
20.
Chakrabarti, Amitabha, et al.. (1992). A procedure for large‐scale plasmid isolation without using ultracentrifugation. Biotechnology and Applied Biochemistry. 16(2). 211–215. 15 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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