Bulbul Chakravarti

956 total citations
48 papers, 738 citations indexed

About

Bulbul Chakravarti is a scholar working on Molecular Biology, Spectroscopy and Pharmacology. According to data from OpenAlex, Bulbul Chakravarti has authored 48 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Spectroscopy and 10 papers in Pharmacology. Recurrent topics in Bulbul Chakravarti's work include Microbial Natural Products and Biosynthesis (6 papers), Advanced Proteomics Techniques and Applications (6 papers) and Parasitic Diseases Research and Treatment (5 papers). Bulbul Chakravarti is often cited by papers focused on Microbial Natural Products and Biosynthesis (6 papers), Advanced Proteomics Techniques and Applications (6 papers) and Parasitic Diseases Research and Treatment (5 papers). Bulbul Chakravarti collaborates with scholars based in United States, India and Germany. Bulbul Chakravarti's co-authors include Deb N. Chakravarti, G N Abraham, Jack E. Baldwin, Robert L. White, Buddhadeb Mallik, Gamini S. Jayatilake, R. M. ADLINGTON, H.‐H. TING, E. P. Abraham and Alpan Raval and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Analytical Biochemistry.

In The Last Decade

Bulbul Chakravarti

47 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bulbul Chakravarti United States 15 338 136 100 90 69 48 738
Eva Kmonı́čková Czechia 19 465 1.4× 100 0.7× 147 1.5× 73 0.8× 23 0.3× 73 1.1k
Danuta E. Mossakowska United Kingdom 15 652 1.9× 63 0.5× 130 1.3× 80 0.9× 49 0.7× 22 968
A. Claxson United Kingdom 16 350 1.0× 71 0.5× 162 1.6× 73 0.8× 37 0.5× 26 1.1k
Paola Pietrangeli Italy 18 564 1.7× 80 0.6× 105 1.1× 59 0.7× 14 0.2× 38 911
Taiki Mori Japan 16 407 1.2× 80 0.6× 125 1.3× 44 0.5× 41 0.6× 29 877
Cameron O. Scarlett United States 17 491 1.5× 86 0.6× 94 0.9× 38 0.4× 83 1.2× 30 1.0k
C Crifò Italy 19 596 1.8× 45 0.3× 95 0.9× 77 0.9× 46 0.7× 90 1.0k
Kevin Bailey United Kingdom 19 609 1.8× 96 0.7× 179 1.8× 59 0.7× 32 0.5× 29 1.3k
Sudarslal Sadasivan Nair India 18 498 1.5× 42 0.3× 35 0.3× 77 0.9× 52 0.8× 30 848
Manuela Grimaldi Italy 17 342 1.0× 36 0.3× 194 1.9× 86 1.0× 42 0.6× 54 686

Countries citing papers authored by Bulbul Chakravarti

Since Specialization
Citations

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

Fields of papers citing papers by Bulbul Chakravarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bulbul Chakravarti

This figure shows the co-authorship network connecting the top 25 collaborators of Bulbul Chakravarti. A scholar is included among the top collaborators of Bulbul Chakravarti 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 Bulbul Chakravarti. Bulbul Chakravarti 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.
Chakravarti, Deb N., Bulbul Chakravarti, & Buddhadeb Mallik. (2014). Reagent Preparation: Theoretical and Practical Discussions. 9(1). 2 indexed citations
2.
Marshall, Adrienne, et al.. (2012). Differential hepatic protein tyrosine nitration of mouse due to aging – Effect on mitochondrial energy metabolism, quality control machinery of the endoplasmic reticulum and metabolism of drugs. Biochemical and Biophysical Research Communications. 430(1). 231–235. 8 indexed citations
3.
Chakravarti, Bulbul, Buddhadeb Mallik, & Deb N. Chakravarti. (2010). Proteomics and Systems Biology: Application in Drug Discovery and Development. Methods in molecular biology. 662. 3–28. 10 indexed citations
4.
Chakravarti, Bulbul, et al.. (2009). Comparison of SYPRO Ruby and Flamingo fluorescent stains for application in proteomic research. Analytical Biochemistry. 398(1). 1–6. 7 indexed citations
5.
6.
Kalinec, Federico, et al.. (2009). Glucocorticoid‐stimulated, transcription‐independent release of annexin A1 by cochlear Hensen cells. British Journal of Pharmacology. 158(7). 1820–1834. 24 indexed citations
7.
Chakravarti, Deb N., Bulbul Chakravarti, & Buddhadeb Mallik. (2008). Reagent Preparation: Theoretical and Practical Discussions. 0(1). 1 indexed citations
8.
Chakravarti, Bulbul, et al.. (2008). Proteomic profiling of aging in the mouse heart: Altered expression of mitochondrial proteins. Archives of Biochemistry and Biophysics. 474(1). 22–31. 30 indexed citations
9.
Chakravarti, Bulbul, et al.. (2008). A highly uniform UV transillumination imaging system for quantitative analysis of nucleic acids and proteins. PROTEOMICS. 8(9). 1789–1797. 9 indexed citations
10.
Chakravarti, Bulbul & Deb N. Chakravarti. (2006). Oxidative Modification of Proteins: Age-Related Changes. Gerontology. 53(3). 128–139. 126 indexed citations
11.
Chakravarti, Bulbul, Steven Lewis, Deb N. Chakravarti, & Alpan Raval. (2006). Three Dimensional Structures of Proteins and Protein Complexes from Chemical Cross-Linking and Mass Spectrometry: A Biochemical and Computational Overview. Current Proteomics. 3(1). 1–21. 8 indexed citations
12.
Chakravarti, Bulbul & G N Abraham. (2002). Effect of age and oxidative stress on tyrosine phosphorylation of ZAP-70. Mechanisms of Ageing and Development. 123(4). 297–311. 9 indexed citations
13.
Chakravarti, Bulbul. (2001). T-cell signaling — effect of age. Experimental Gerontology. 37(1). 33–39. 5 indexed citations
14.
Chakravarti, Bulbul & G N Abraham. (1999). Aging and T-cell-mediated immunity. Mechanisms of Ageing and Development. 108(3). 183–206. 109 indexed citations
15.
Chakravarti, Bulbul, et al.. (1998). Effect of age on mitogen induced protein tyrosine phosphorylation in human T cell and its subsets: down-regulation of tyrosine phosphorylation of ZAP-70. Mechanisms of Ageing and Development. 104(1). 41–58. 24 indexed citations
16.
Chakravarti, Bulbul, Deb N. Chakravarti, & Hans J. Müller‐Eberhard. (1994). Role of de Novo Protein Synthesis by Human Mononuclear Leukocytes in Opsonin-Independent Phagocytosis. Cellular Immunology. 154(1). 134–142. 1 indexed citations
17.
Chakravarti, Bulbul, Jonathan H. Lass, David S. Bardenstein, et al.. (1993). Immune-mediated Onchocerca volvulus Sclerosing Keratitis in the Mouse. Experimental Eye Research. 57(1). 21–27. 16 indexed citations
18.
Chakravarti, Deb N., et al.. (1989). Structural homology of complement protein C6 with other channel-forming proteins of complement.. Proceedings of the National Academy of Sciences. 86(8). 2799–2803. 23 indexed citations
19.
Chakravarti, Bulbul. (1988). Studies on phagocytosis of unopsonized rabbit erythrocytes by human monocytes. Cellular Immunology. 113(2). 251–260. 4 indexed citations
20.
Chakravarti, Bulbul & Deb N. Chakravarti. (1987). Phagocytosis: An Overview. Pathology and Immunopathology Research. 6(5-6). 316–342. 10 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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