Marilyn S. Dawson
- Microbiology top 1%
- Epidemiology top 10%
- Immunology
- Virology top 10%
- Ecology
- Co-authors
- Shyh‐Ching LoW.F. EnglerPerry B. NewtonJ. Wai‐Kuo ShihDouglas J. WearRichard B. TenserDennis M. WongS.-C.B. Lo
- Topics
- Herpesvirus Infections and Treatments (4 papers)Cytomegalovirus and herpesvirus research (3 papers)Bacteriophages and microbial interactions (2 papers)
- Cited by
- MicrobiologyVirologyEpidemiology
- Partner nations
- United States
In The Last Decade
Marilyn S. Dawson
14 papers receiving 439 citations
Peers
Comparison fields: 5 of 70
- Microbiology 284
- Epidemiology 274
- Immunology 93
- Virology 70
- Ecology 70
Countries citing papers authored by Marilyn S. Dawson
This map shows the geographic impact of Marilyn S. Dawson'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 Marilyn S. Dawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marilyn S. Dawson more than expected).
Fields of papers citing papers by Marilyn S. Dawson
This network shows the impact of papers produced by Marilyn S. Dawson. 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 Marilyn S. Dawson. The network helps show where Marilyn S. Dawson may publish in the future.
Co-authorship network of co-authors of Marilyn S. Dawson
This figure shows the co-authorship network connecting the top 25 collaborators of Marilyn S. Dawson. A scholar is included among the top collaborators of Marilyn S. Dawson 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 Marilyn S. Dawson. Marilyn S. Dawson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 15 | |
| 3 | Detection and isolation of Mycoplasma fermentans from urine of human immunodeficiency virus type 1-infected patients. | 42 |
| 4 | 55 | |
| 5 | 129 | |
| 6 | Association of the virus-like infectious agent originally reported in patients with AIDS with acute fatal disease in previously healthy non-AIDS patients. | 70 |
| 7 | 40 | |
| 8 | 20 | |
| 9 | Total VolumeCulture Technique fortheIsolation ofMicroorganisms fromContinuous Ambulatory Peritoneal Dialysis Patients withPeritonitis | 1 |
| 10 | 24 | |
| 11 | 56 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 4 |
About Marilyn S. Dawson
Marilyn S. Dawson is a scholar working on Microbiology, Nephrology and Epidemiology, having authored 14 papers that have together received 471 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (4 papers), Cytomegalovirus and herpesvirus research (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Microbiology (284 citations), Virology (70 citations) and Epidemiology (274 citations). Marilyn S. Dawson has collaborated with scholars based in United States. Frequent co-authors include Shyh‐Ching Lo, W.F. Engler, Perry B. Newton, J. Wai‐Kuo Shih, Douglas J. Wear, Richard B. Tenser, Dennis M. Wong, S.-C.B. Lo, J W Shih and Wen Hu. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Annals of Neurology and Journal of Virology.
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.