Robert S. Daum
- Infectious Diseases top 0.02%
- Clinical Biochemistry top 0.01%
- Molecular Biology top 1%
- Public Health, Environmental and Occupational Health top 0.2%
- Epidemiology top 0.5%
- Co-authors
- Michael DavidSusan Boyle‐VavraHenry F. ChambersArnold S. BayerSara E. CosgroveSheldon L. KaplanScott K. FridkinBarbara E. Murray
- Topics
- Antimicrobial Resistance in Staphylococcus (104 papers)Bacterial Identification and Susceptibility Testing (48 papers)Streptococcal Infections and Treatments (43 papers)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Robert S. Daum
176 papers receiving 13.8k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Infectious Diseases 10.3k
- Clinical Biochemistry 5.3k
- Molecular Biology 4.7k
- Public Health, Environmental and Occupational Health 3.1k
- Epidemiology 3.0k
Countries citing papers authored by Robert S. Daum
This map shows the geographic impact of Robert S. Daum'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 Robert S. Daum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert S. Daum more than expected).
Fields of papers citing papers by Robert S. Daum
This network shows the impact of papers produced by Robert S. Daum. 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 Robert S. Daum. The network helps show where Robert S. Daum may publish in the future.
Co-authorship network of co-authors of Robert S. Daum
This figure shows the co-authorship network connecting the top 25 collaborators of Robert S. Daum. A scholar is included among the top collaborators of Robert S. Daum 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 Robert S. Daum. Robert S. Daum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 79 | |
| 3 | 6 | |
| 4 | 101 | |
| 5 | 9 | |
| 6 | 157 | |
| 7 | 14 | |
| 8 | 22 | |
| 9 | 184 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 24 | |
| 13 | 14 | |
| 14 | Haemophilus influenzae type b conjugate vaccines: Recommendations for immunization of infants and children 2 months of age and older: Update | 25 |
| 15 | Measles: Reassessment of the current immunization policy | 70 |
| 16 | Haemophilus influenzae type b conjugate vaccines: Update | 8 |
| 17 | Haemophilus influenzae type b conjugate vaccine | 18 |
| 18 | 10 | |
| 19 | 39 | |
| 20 | 26 |
About Robert S. Daum
Robert S. Daum is a scholar working on Clinical Biochemistry, Microbiology and Infectious Diseases, having authored 180 papers that have together received 14.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (104 papers), Bacterial Identification and Susceptibility Testing (48 papers) and Streptococcal Infections and Treatments (43 papers). The work is most often cited by research in Clinical Biochemistry (5.3k citations), Infectious Diseases (10.3k citations) and Applied Microbiology and Biotechnology (594 citations). Robert S. Daum has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Michael David, Susan Boyle‐Vavra, Henry F. Chambers, Arnold S. Bayer, Sara E. Cosgrove, Sheldon L. Kaplan, Scott K. Fridkin, Barbara E. Murray, Rachel Gorwitz and Adolf W. Karchmer. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.