Caitlin N. Murphy
- Molecular Medicine top 2%
- Molecular Biology
- Endocrinology top 5%
- Epidemiology
- Infectious Diseases top 10%
- Co-authors
- Steven CleggMartin Steen MortensenKaren A. KrogfeltPaul D. FeyJeremiah G. JohnsonPeter C. IwenTimothy J. JohnsonRandal C. Fowler
- Topics
- Antibiotic Resistance in Bacteria (5 papers)Tuberculosis Research and Epidemiology (3 papers)Mycobacterium research and diagnosis (3 papers)
- Journals
- Proceedings of the National Academy of SciencesApplied and Environmental MicrobiologyJournal of Bacteriology
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Caitlin N. Murphy
18 papers receiving 611 citations
Peers
Comparison fields: 5 of 91
- Molecular Medicine 296
- Molecular Biology 275
- Endocrinology 160
- Epidemiology 137
- Infectious Diseases 118
Countries citing papers authored by Caitlin N. Murphy
This map shows the geographic impact of Caitlin N. Murphy'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 Caitlin N. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin N. Murphy more than expected).
Fields of papers citing papers by Caitlin N. Murphy
This network shows the impact of papers produced by Caitlin N. Murphy. 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 Caitlin N. Murphy. The network helps show where Caitlin N. Murphy may publish in the future.
Co-authorship network of co-authors of Caitlin N. Murphy
This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin N. Murphy. A scholar is included among the top collaborators of Caitlin N. Murphy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caitlin N. Murphy. Caitlin N. Murphy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 73 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 25 | |
| 10 | 47 | |
| 11 | 13 | |
| 12 | 148 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 95 | |
| 16 | 6 | |
| 17 | 110 | |
| 18 | 58 | |
| 19 | Peptides - more than anti-aging: a novel antimicrobial peptide for cosmetic applications. | 1 |
About Caitlin N. Murphy
Caitlin N. Murphy is a scholar working on Molecular Medicine, Endocrinology and Microbiology, having authored 19 papers that have together received 624 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Tuberculosis Research and Epidemiology (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Molecular Medicine (296 citations), Endocrinology (160 citations) and Microbiology (104 citations). Caitlin N. Murphy has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Steven Clegg, Martin Steen Mortensen, Karen A. Krogfelt, Paul D. Fey, Jeremiah G. Johnson, Peter C. Iwen, Timothy J. Johnson, Randal C. Fowler, Jean Sippy and Jayaram Lakshmaiah Narayana. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Journal of Bacteriology.
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.