Anu Daniel
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Ecology top 5%
- Bacteriophages and microbial interactions
Papers in
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- Computational Drug Discovery Methods 3
-
- Antimicrobial Resistance in Staphylococcus 3
- Co-authors
- Vincent A. Fischetti (3 shared papers)Mattias Collin (2 shared papers)Peter Chahales (1 shared paper)Chad W. Euler (1 shared paper)Kenneth J. Gorelick (1 shared paper)Jared A. Silverman (2 shared papers)Michael S. Gilmore (1 shared paper)Kelli L. Palmer (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (2 papers)ACS Medicinal Chemistry Letters (2 papers)Applied and Environmental Microbiology (1 paper)Journal of Bacteriology (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Anu Daniel
9 papers receiving 555 citations
Peers
Comparison fields: 5 of 38
- Molecular Medicine 81
- Ecology 230
- Infectious Diseases 105
- Microbiology 33
- Applied Microbiology and Biotechnology 10
Countries citing papers authored by Anu Daniel
This map shows the geographic impact of Anu Daniel'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 Anu Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anu Daniel more than expected).
Fields of papers citing papers by Anu Daniel
This network shows the impact of papers produced by Anu Daniel. 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 Anu Daniel. The network helps show where Anu Daniel may publish in the future.
Co-authors
The 14 scholars most cited alongside Anu Daniel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 209 | |
| 2 | 2011 | 156 | |
| 3 | 2006 | 65 | |
| 4 | 2016 | 42 | |
| 5 | 2015 | 31 | |
| 6 | 2015 | 28 | |
| 7 | 2007 | 24 | |
| 8 | 2011 | 23 | |
| 9 | 2013 | 3 |
About Anu Daniel
Anu Daniel is a scholar working on Computational Theory and Mathematics, Infectious Diseases, Ecology, Organic Chemistry and Molecular Medicine, having authored 9 papers that have together received 581 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (3 papers), Computational Drug Discovery Methods (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Synthesis and Biological Evaluation (2 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers), Synthesis and biological activity (1 paper), Cancer therapeutics and mechanisms (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Molecular Medicine (81 citations), Ecology (230 citations), Infectious Diseases (105 citations), Microbiology (33 citations) and Applied Microbiology and Biotechnology (10 citations). Anu Daniel has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Vincent A. Fischetti, Mattias Collin, Peter Chahales, Chad W. Euler, Kenneth J. Gorelick, Jared A. Silverman, Michael S. Gilmore, Kelli L. Palmer, Penelope E. Bonnen and Raymond Schuch. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, ACS Medicinal Chemistry Letters, Applied and Environmental Microbiology, Journal of Bacteriology and Journal of Medicinal Chemistry.
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.