Anushree Chatterjee
Impact in
- Molecular Medicine top 5%
- Microbiology top 5%
Papers in
-
- Advanced biosensing and bioanalysis techniques 9
- CRISPR and Genetic Engineering 8
- Gene Regulatory Network Analysis 8
- Genetics 23
- Bacterial Genetics and Biotechnology 16
- Evolution and Genetic Dynamics 10
- Co-authors
- Prashant Nagpal (33 shared papers)Colleen M. Courtney (13 shared papers)Samuel M. Goodman (6 shared papers)Nancy Madinger (5 shared papers)Wei‐Shou Hu (6 shared papers)Keesha E. Erickson (12 shared papers)Peter B. Otoupal (10 shared papers)Gary M. Dunny (6 shared papers)
- Journals
- ACS Biomaterials Science & Engineering (5 papers)ACS Synthetic Biology (5 papers)ACS Chemical Neuroscience (4 papers)PLoS ONE (4 papers)Communications Biology (3 papers)
- Partner nations
- United StatesSouth KoreaMexico
In The Last Decade
Anushree Chatterjee
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 123
- Molecular Medicine 86
- Microbiology 89
- Molecular Biology 700
- Genetics 232
- Hepatology 63
Countries citing papers authored by Anushree Chatterjee
This map shows the geographic impact of Anushree 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 Anushree Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anushree Chatterjee more than expected).
Fields of papers citing papers by Anushree Chatterjee
This network shows the impact of papers produced by Anushree 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 Anushree Chatterjee. The network helps show where Anushree Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Anushree Chatterjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 234 | |
| 2 | 2017 | 105 | |
| 3 | 2018 | 75 | |
| 4 | 2011 | 73 | |
| 5 | 2013 | 64 | |
| 6 | 2012 | 45 | |
| 7 | 2008 | 41 | |
| 8 | 2011 | 40 | |
| 9 | 2011 | 36 | |
| 10 | 2018 | 29 | |
| 11 | 2017 | 27 | |
| 12 | 2019 | 27 | |
| 13 | 2018 | 23 | |
| 14 | 2020 | 22 | |
| 15 | Functional significance of hsp90 complexes with NOS and sGC in endothelial cells. | 2007 | 22 |
| 16 | 2018 | 21 | |
| 17 | 2016 | 20 | |
| 18 | 2011 | 19 | |
| 19 | 2011 | 18 | |
| 20 | 2012 | 18 |
About Anushree Chatterjee
Anushree Chatterjee is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Materials Chemistry and Ecology, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (16 papers), Quantum Dots Synthesis And Properties (11 papers), Evolution and Genetic Dynamics (10 papers), Advanced biosensing and bioanalysis techniques (9 papers), CRISPR and Genetic Engineering (8 papers), Gene Regulatory Network Analysis (8 papers), Bacteriophages and microbial interactions (8 papers) and Nanoplatforms for cancer theranostics (7 papers). The work is most often cited by research in Molecular Medicine (86 citations), Microbiology (89 citations), Molecular Biology (700 citations), Genetics (232 citations) and Hepatology (63 citations). Anushree Chatterjee has collaborated with scholars based in United States, South Korea and Mexico. Frequent co-authors include Prashant Nagpal, Colleen M. Courtney, Samuel M. Goodman, Nancy Madinger, Wei‐Shou Hu, Keesha E. Erickson, Peter B. Otoupal, Gary M. Dunny, Doraiswami Ramkrishna and Yiannis N. Kaznessis. Their work appears in journals such as ACS Biomaterials Science & Engineering, ACS Synthetic Biology, ACS Chemical Neuroscience, PLoS ONE and Communications Biology.
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.