Anuja Chatterjee

21 papers receiving 812 citations

Anuja Chatterjee's Hit Papers

Estimating the burden of antimicrobial resistance: a systematic literature review 2018 · 437 citations
4370+2+5Years since publication100200300400

Peers

Anuja Chatterjee
Comparison fields: 5 of 101
  • Applied Microbiology and Biotechnology 296
  • Molecular Medicine 194
  • Clinical Biochemistry 55
  • Pollution 94
  • Microbiology 33
Replace Katie K Tseng with:
Katie K Tseng United States
Nithya Babu Rajendran Germany
Sarah Paulin Switzerland
Xuemei Zhen China
Damian Cohall Barbados
Yonghong Xiao China
Ambadasu Bharatha Barbados
Kavian Kulasabanathan United Kingdom
Devra Barter United States
Sachin Silva United States
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Citations per year

Countries citing papers authored by Anuja Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Anuja Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anuja 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 Anuja Chatterjee Line = papers co-authored together Anuja Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estimating the burden of antimicrobial resistance: a systematic literature review
Hit paper breakdown →
2018437
2 2018270
3 201928
4 202423
5 202114
6 20258
7 20228
8 20196
9 20175
10 20134
11 20254
12 20244
13 20253
14 20203
15 20233
16 20252
17 20202
18 20252
19 20171
20 20201

About Anuja Chatterjee

Anuja Chatterjee is a scholar working on Applied Microbiology and Biotechnology, Genetics, Molecular Medicine, Renewable Energy, Sustainability and the Environment and Biomedical Engineering, having authored 21 papers that have together received 829 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (7 papers), Chronic Lymphocytic Leukemia Research (3 papers), Advanced Nanomaterials in Catalysis (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Antibiotic Resistance in Bacteria (2 papers), Data-Driven Disease Surveillance (1 paper), Diabetes Management and Education (1 paper) and Patient Satisfaction in Healthcare (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (296 citations), Molecular Medicine (194 citations), Clinical Biochemistry (55 citations), Pollution (94 citations) and Microbiology (33 citations). Anuja Chatterjee has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Julie V. Robotham, Rifat Ali Atun, Nichola R. Naylor, Nina Zhu, Kavian Kulasabanathan, Sachin Silva, Gwenan M. Knight, Alan P. Johnson, Maryam Modarai and Alison Holmes. Their work appears in journals such as Journal of Managed Care & Specialty Pharmacy, The Lancet Infectious Diseases, Journal of environmental chemical engineering, One Health and Blood.

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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