Sayantani Chatterjee

841 total citations
29 papers, 498 citations indexed

About

Sayantani Chatterjee is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Sayantani Chatterjee has authored 29 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Organic Chemistry and 7 papers in Immunology. Recurrent topics in Sayantani Chatterjee's work include Glycosylation and Glycoproteins Research (11 papers), Carbohydrate Chemistry and Synthesis (6 papers) and Plant-Microbe Interactions and Immunity (4 papers). Sayantani Chatterjee is often cited by papers focused on Glycosylation and Glycoproteins Research (11 papers), Carbohydrate Chemistry and Synthesis (6 papers) and Plant-Microbe Interactions and Immunity (4 papers). Sayantani Chatterjee collaborates with scholars based in Australia, United States and India. Sayantani Chatterjee's co-authors include Morten Thaysen‐Andersen, Harry C. Tjondro, Hem Chandra Jha, Shweta Jakhmola, Omkar Indari, Ian Loke, Rebeca Kawahara, Harrold A. van den Burg, Hannes Hinneburg and Like Fokkens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Sayantani Chatterjee

26 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sayantani Chatterjee Australia 15 263 124 93 81 62 29 498
Anne Gleinich United States 8 291 1.1× 90 0.7× 20 0.2× 359 4.4× 67 1.1× 10 650
Goutam Gupta United States 15 202 0.8× 76 0.6× 245 2.6× 31 0.4× 21 0.3× 31 541
Evgeny A. Fadeev United States 8 332 1.3× 29 0.2× 37 0.4× 125 1.5× 32 0.5× 9 506
Jingfang Mu China 13 546 2.1× 298 2.4× 59 0.6× 504 6.2× 22 0.4× 30 1.2k
R. Scott Houliston Canada 14 350 1.3× 61 0.5× 10 0.1× 41 0.5× 116 1.9× 19 500
Nathanael A. Caveney United States 13 255 1.0× 84 0.7× 25 0.3× 114 1.4× 48 0.8× 25 581
Melanie N. Hug Switzerland 10 238 0.9× 27 0.2× 14 0.2× 49 0.6× 26 0.4× 14 439
Wei‐Zen Yang Taiwan 14 478 1.8× 45 0.4× 17 0.2× 67 0.8× 23 0.4× 24 604
Eropkin MIu Russia 9 222 0.8× 94 0.8× 39 0.4× 137 1.7× 59 1.0× 49 737
Vincent R. Gerbasi United States 16 443 1.7× 47 0.4× 44 0.5× 31 0.4× 6 0.1× 21 683

Countries citing papers authored by Sayantani Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Sayantani Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayantani Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sayantani Chatterjee. A scholar is included among the top collaborators of Sayantani 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 Sayantani Chatterjee. Sayantani 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, Sayantani, Ben C. Collins, Justyna Fert‐Bober, et al.. (2026). Emerging Technologies in Proteomics: Insights from the HUPO ETC Webinar Series. Journal of Proteome Research. 25(1). 1–3.
2.
Hulten, Marieke van, et al.. (2025). Arabidopsis CNL receptor SUT1 confers immunity in hydathodes against the vascular pathogen Xanthomonas campestris pv. campestris. PLoS Pathogens. 21(6). e1013256–e1013256. 1 indexed citations
3.
Chatterjee, Sayantani, et al.. (2025). Impact of different pathogen classes on the serum N-glycome in septic shock. PubMed. 7. 100138–100138.
4.
Bennett, Alex, et al.. (2025). Compositional data analysis enables statistical rigor in comparative glycomics. Nature Communications. 16(1). 795–795. 2 indexed citations
5.
Hulten, Marieke van, et al.. (2023). Hydathode immunity protects the Arabidopsis leaf vasculature against colonization by bacterial pathogens. Current Biology. 33(4). 697–710.e6. 22 indexed citations
6.
Kawahara, Rebeca, et al.. (2023). Profound N-glycan remodelling accompanies MHC-II immunopeptide presentation. Frontiers in Immunology. 14. 1258518–1258518. 2 indexed citations
7.
Tjondro, Harry C., Rebeca Kawahara, Sayantani Chatterjee, et al.. (2020). Hyper-truncated Asn355- and Asn391-glycans modulate the activity of neutrophil granule myeloperoxidase. Journal of Biological Chemistry. 296. 100144–100144. 29 indexed citations
8.
Jakhmola, Shweta, Omkar Indari, Dharmendra Kashyap, et al.. (2020). Recent updates on COVID-19: A holistic review. Heliyon. 6(12). e05706–e05706. 16 indexed citations
9.
Jakhmola, Shweta, Omkar Indari, Sayantani Chatterjee, & Hem Chandra Jha. (2020). SARS-CoV-2, an Underestimated Pathogen of the Nervous System. SN Comprehensive Clinical Medicine. 2(11). 2137–2146. 49 indexed citations
10.
Jakhmola, Shweta, Omkar Indari, Budhadev Baral, et al.. (2020). Comorbidity Assessment Is Essential During COVID-19 Treatment. Frontiers in Physiology. 11. 984–984. 31 indexed citations
11.
Joe, Carina C. D., Sayantani Chatterjee, George O. Lovrecz, et al.. (2020). Glycoengineered hepatitis B virus-like particles with enhanced immunogenicity. Vaccine. 38(22). 3892–3901. 29 indexed citations
12.
Venkatakrishnan, Vignesh, Régis Dieckmann, Ian Loke, et al.. (2020). Glycan analysis of human neutrophil granules implicates a maturation-dependent glycosylation machinery. Journal of Biological Chemistry. 295(36). 12648–12660. 21 indexed citations
13.
Chatterjee, Sayantani, et al.. (2020). Structural and functional diversity of neutrophil glycosylation in innate immunity and related disorders. Molecular Aspects of Medicine. 79. 100882–100882. 33 indexed citations
14.
Watson, G. M., Katharine J. Goodall, Sayantani Chatterjee, et al.. (2019). Structural basis for the recognition of nectin-like protein-5 by the human-activating immune receptor, DNAM-1. Journal of Biological Chemistry. 294(33). 12534–12546. 14 indexed citations
15.
Hulten, Marieke van, Sayantani Chatterjee, & Harrold A. van den Burg. (2019). Infection Assay for Xanthomonas campestris pv. campestris in Arabidopsis thaliana Mimicking Natural Entry via Hydathodes. Methods in molecular biology. 1991. 159–185. 8 indexed citations
16.
Hinneburg, Hannes, Sayantani Chatterjee, Terry Nguyen‐Khuong, et al.. (2019). Post-Column Make-Up Flow (PCMF) Enhances the Performance of Capillary-Flow PGC-LC-MS/MS-Based Glycomics. Analytical Chemistry. 91(7). 4559–4567. 39 indexed citations
17.
Fokkens, Like, Bas Beerens, Sayantani Chatterjee, et al.. (2018). The Arabidopsis SUMO E3 ligase SIZ1 mediates the temperature dependent trade-off between plant immunity and growth. PLoS Genetics. 14(1). e1007157–e1007157. 56 indexed citations
18.
19.
Chatterjee, Sayantani, et al.. (2014). Isolation and characterisation of lignin-degrading fungus from coir. IOSR Journal of Environmental Science Toxicology and Food Technology. 8(10). 7–11. 1 indexed citations
20.

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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