Bhaswati Chatterjee

681 total citations
21 papers, 525 citations indexed

About

Bhaswati Chatterjee is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, Bhaswati Chatterjee has authored 21 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Spectroscopy and 5 papers in Infectious Diseases. Recurrent topics in Bhaswati Chatterjee's work include SARS-CoV-2 and COVID-19 Research (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and COVID-19 Clinical Research Studies (4 papers). Bhaswati Chatterjee is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and COVID-19 Clinical Research Studies (4 papers). Bhaswati Chatterjee collaborates with scholars based in India, Germany and United States. Bhaswati Chatterjee's co-authors include Suman Thakur, Jüergen Cox, Matthias Mann, Peter Bandilla, Florian Fröhlich, Tamar Geiger, Indranil Saha, N. Shamala, Padmanabhan Balaram and S. Raghothama and has published in prestigious journals such as The Journal of Physical Chemistry B, Chemical Physics Letters and Chemistry - A European Journal.

In The Last Decade

Bhaswati Chatterjee

19 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bhaswati Chatterjee India 9 340 226 51 48 39 21 525
Cassandra J. Wong Canada 10 328 1.0× 179 0.8× 33 0.6× 20 0.4× 27 0.7× 24 481
Yan Ting Lim Singapore 14 390 1.1× 146 0.6× 48 0.9× 26 0.5× 19 0.5× 20 634
Saša Končarević Germany 15 470 1.4× 153 0.7× 28 0.5× 68 1.4× 17 0.4× 20 819
Michael B. Cammarata United States 15 488 1.4× 374 1.7× 52 1.0× 14 0.3× 27 0.7× 22 830
Sudha Rajagopalan India 4 261 0.8× 330 1.5× 20 0.4× 41 0.9× 9 0.2× 6 536
Christian M. Beusch Sweden 10 355 1.0× 139 0.6× 12 0.2× 35 0.7× 19 0.5× 20 495
Terry Zhang United States 13 279 0.8× 188 0.8× 11 0.2× 25 0.5× 21 0.5× 17 450
Wen‐Feng Zeng China 14 732 2.2× 513 2.3× 19 0.4× 53 1.1× 15 0.4× 23 879
Saiful M. Chowdhury United States 14 318 0.9× 298 1.3× 15 0.3× 67 1.4× 22 0.6× 40 591

Countries citing papers authored by Bhaswati Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Bhaswati Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhaswati Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Bhaswati Chatterjee. A scholar is included among the top collaborators of Bhaswati 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 Bhaswati Chatterjee. Bhaswati Chatterjee 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.
Chatterjee, Bhaswati & Suman Thakur. (2025). Interaction networks among miRNA, protein, and metabolite fingerprints identify the regulatory networks and key players in the pathogenesis of diabetic cardiomyopathy. Frontiers in Cell and Developmental Biology. 13. 1602320–1602320.
2.
Chatterjee, Bhaswati & Suman Thakur. (2024). miRNA–protein–metabolite interaction network reveals the regulatory network and players of pregnancy regulation in dairy cows. Frontiers in Cell and Developmental Biology. 12. 1377172–1377172.
3.
Chatterjee, Bhaswati & Suman Thakur. (2024). Valuable Contributions and Lessons Learned from Proteomics and Metabolomics Studies of COVID-19. Journal of Proteome Research. 23(10). 4171–4187. 2 indexed citations
4.
Chatterjee, Bhaswati & Suman Thakur. (2023). Proteins and metabolites fingerprints of gestational diabetes mellitus forming protein–metabolite interactomes are its potential biomarkers. PROTEOMICS. 23(13-14). e2200257–e2200257. 5 indexed citations
5.
Chatterjee, Bhaswati & Suman Thakur. (2022). SARS-CoV-2 Infection Triggers Phosphorylation: Potential Target for Anti-COVID-19 Therapeutics. Frontiers in Immunology. 13. 829474–829474. 31 indexed citations
6.
Chatterjee, Bhaswati & Suman Thakur. (2022). Remdesivir and Its Combination With Repurposed Drugs as COVID-19 Therapeutics. Frontiers in Immunology. 13. 830990–830990. 14 indexed citations
7.
Chatterjee, Bhaswati, et al.. (2022). An insight into major signaling pathways and protein–protein interaction networks involved in the pathogenesis of gestational diabetes mellitus. PROTEOMICS. 22(8). e2100200–e2100200. 2 indexed citations
8.
Chatterjee, Bhaswati & Suman Thakur. (2021). Diverse vaccine platforms safeguarding against SARS-CoV-2 and its variants. Expert Review of Vaccines. 21(1). 47–67. 5 indexed citations
9.
Chatterjee, Bhaswati & Suman Thakur. (2020). ACE2 as a potential therapeutic target for pandemic COVID-19. RSC Advances. 10(65). 39808–39813. 20 indexed citations
10.
Chatterjee, Bhaswati, et al.. (2019). Achievements in Cancer Research and its Therapeutics in Hundred Years. Current Topics in Medicinal Chemistry. 19(17). 1545–1562. 1 indexed citations
11.
Chatterjee, Bhaswati & Suman Thakur. (2018). Investigation of post-translational modifications in type 2 diabetes. Clinical Proteomics. 15(1). 32–32. 27 indexed citations
12.
Chatterjee, Bhaswati. (2018). Animal Venoms have Potential to Treat Cancer. Current Topics in Medicinal Chemistry. 18(30). 2555–2566. 33 indexed citations
13.
Chatterjee, Bhaswati & Suman Thakur. (2018). Single-Run Mass Spectrometry Analysis Provides Deep Insight into E. coli Proteome. Journal of the American Society for Mass Spectrometry. 29(12). 2394–2401. 3 indexed citations
14.
Pichumani, Kumar, et al.. (2015). Effects of hydrogen bonding on amide-proton chemical shift anisotropy in a proline-containing model peptide. Chemical Physics Letters. 627. 126–129. 2 indexed citations
15.
Thakur, Suman, Tamar Geiger, Bhaswati Chatterjee, et al.. (2011). Deep and Highly Sensitive Proteome Coverage by LC-MS/MS Without Prefractionation. Molecular & Cellular Proteomics. 10(8). M110.003699–M110.003699. 274 indexed citations
16.
Chatterjee, Bhaswati, et al.. (2011). Entrapment of a Water Wire in a Hydrophobic Peptide Channel with an Aromatic Lining. The Journal of Physical Chemistry B. 115(29). 9236–9243. 19 indexed citations
17.
Jayanthi, S., Bhaswati Chatterjee, & S. Raghothama. (2009). Natural abundant solid state NMR studies in designed tripeptides for differentiation of multiple conformers. Biopolymers. 91(10). 851–860. 4 indexed citations
18.
Chatterjee, Bhaswati, Indranil Saha, S. Raghothama, et al.. (2008). Designed Peptides with Homochiral and Heterochiral Diproline Templates as Conformational Constraints. Chemistry - A European Journal. 14(20). 6192–6204. 60 indexed citations
19.
Saha, Indranil, Bhaswati Chatterjee, N. Shamala, & Padmanabhan Balaram. (2008). Crystal structures of peptide enantiomers and racemates: Probing conformational diversity in heterochiral Pro‐Pro sequences. Biopolymers. 90(4). 537–543. 15 indexed citations
20.
Chatterjee, Bhaswati, et al.. (2006). Chemical investigation of the roots of Xanthium strumarium. Zenodo (CERN European Organization for Nuclear Research). 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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