Debbie C. Mulhearn
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 4
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- Computational Drug Discovery Methods 4
- Organic Chemistry top 10%
- Chemical Reaction Mechanisms 4
- Organic Chemistry Cycloaddition Reactions 3
- Antimicrobial agents and applications 2
- Toxicology top 10%
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- Biochemical and Molecular Research 2
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- Advanced Chemical Physics Studies 3
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- Antimicrobial Peptides and Activities 2
- Co-authors
- Steven M. BachrachMichael E. JohnsonAndrew D. MesecarArun K. GhoshSusan C. BakerDaniel Brian NicholsRima ChaudhuriJun Takayama
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Debbie C. Mulhearn
20 papers receiving 855 citations
Peers
Comparison fields: 5 of 86
- Infectious Diseases 265
- Computational Theory and Mathematics 194
- Organic Chemistry 259
- Toxicology 31
- Molecular Biology 369
Countries citing papers authored by Debbie C. Mulhearn
This map shows the geographic impact of Debbie C. Mulhearn'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 Debbie C. Mulhearn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debbie C. Mulhearn more than expected).
Fields of papers citing papers by Debbie C. Mulhearn
This network shows the impact of papers produced by Debbie C. Mulhearn. 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 Debbie C. Mulhearn. The network helps show where Debbie C. Mulhearn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Debbie C. Mulhearn, 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 | 2013 | 45 | |
| 2 | 2011 | 50 | |
| 3 | 2010 | 10 | |
| 4 | 2010 | 122 | |
| 5 | 2009 | 109 | |
| 6 | 2009 | 75 | |
| 7 | 2008 | 28 | |
| 8 | 2008 | 26 | |
| 9 | 2008 | 89 | |
| 10 | 2008 | 42 | |
| 11 | 2007 | 47 | |
| 12 | 2004 | 4 | |
| 13 | 2003 | 29 | |
| 14 | 2002 | 44 | |
| 15 | 1997 | 7 | |
| 16 | 1996 | 56 | |
| 17 | 1996 | 41 | |
| 18 | 1995 | 9 | |
| 19 | 1993 | 25 | |
| 20 | 1993 | 13 |
About Debbie C. Mulhearn
Debbie C. Mulhearn is a scholar working on Microbiology, Organic Chemistry and Toxicology, having authored 20 papers that have together received 871 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Computational Drug Discovery Methods (4 papers), Chemical Reaction Mechanisms (4 papers), Organic Chemistry Cycloaddition Reactions (3 papers), Advanced Chemical Physics Studies (3 papers), Antimicrobial agents and applications (2 papers), Biochemical and Molecular Research (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Infectious Diseases (265 citations), Computational Theory and Mathematics (194 citations) and Organic Chemistry (259 citations). Debbie C. Mulhearn has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Steven M. Bachrach, Michael E. Johnson, Andrew D. Mesecar, Arun K. Ghosh, Susan C. Baker, Daniel Brian Nichols, Rima Chaudhuri, Jun Takayama, Kiira Ratia and Bellur S. Prabhakar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Molecular 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.