Maitrayee Chatterjee

1.0k citations
14 papers · 772 · h-index 12

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Bacterial biofilms and quorum sensing 4
    • Respiratory viral infections research 3

Maitrayee Chatterjee

14 papers receiving 753 citations

Peers

Maitrayee Chatterjee
Comparison fields: 5 of 97
  • Molecular Medicine 140
  • Toxicology 47
  • Microbiology 83
  • Applied Microbiology and Biotechnology 20
  • Periodontics 34
Replace Rosario Musumeci with:
Rosario Musumeci Italy
Hana Čipčić Paljetak Croatia
Yong‐Bin Eom South Korea
Yiqiang Chen China
Sachiko Gotô Japan
Momen Askoura Egypt
Elżbieta Karczewska Poland
Zhen Luo China
Jinliang Kong China
Sadananda Acharya Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Maitrayee Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Maitrayee Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maitrayee Chatterjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maitrayee Chatterjee Line = papers co-authored together Maitrayee Chatterjee links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2015239
2 2016103
3 201790
4 201175
5 202072
6 201745
7 201340
8 201237
9 202323
10 201821
11 202412
12 202211
13 20242
14 20222

About Maitrayee Chatterjee

Maitrayee Chatterjee is a scholar working on Molecular Biology, Epidemiology, Food Science, Pulmonary and Respiratory Medicine and Oncology, having authored 14 papers that have together received 772 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Bacterial biofilms and quorum sensing (4 papers), Respiratory viral infections research (3 papers), Lung Cancer Research Studies (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Probiotics and Fermented Foods (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Molecular Medicine (140 citations), Toxicology (47 citations), Microbiology (83 citations), Applied Microbiology and Biotechnology (20 citations) and Periodontics (34 citations). Maitrayee Chatterjee has collaborated with scholars based in India, Netherlands and Norway. Frequent co-authors include C. Gopi Mohan, Raja Biswas, V. Anil Kumar, Lalitha Biswas, Raja Biswas, Anil Vasudevan, Karin Strijbis, Jos P. M. van Putten, Alakendu Ghosh and Sumit Chakraborty. Their work appears in journals such as International Journal of Medical Microbiology, Seminars in Arthritis and Rheumatism, Gut Microbes, Journal of Clinical Microbiology and Letters in Applied Microbiology.

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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