Robert G. Sharrar
- Endocrinology top 0.2%
- Epidemiology top 5%
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Immunology top 10%
- Co-authors
- Charles C. ShepardH. James BeechamPhilip S. BrachmanDavid W. FraserWilliam E. ParkinJoseph E. McDadeJohn HarrisStanley M. Martin
- Topics
- Herpesvirus Infections and Treatments (6 papers)COVID-19 Impact on Reproduction (3 papers)Pregnancy and Medication Impact (3 papers)
- Cited by
- EndocrinologyVirologyParasitology
- Journals
- New England Journal of MedicineAnnals of Internal MedicineJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesNetherlands
In The Last Decade
Robert G. Sharrar
25 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Endocrinology 1.1k
- Epidemiology 771
- Molecular Biology 549
- Health, Toxicology and Mutagenesis 315
- Immunology 302
Countries citing papers authored by Robert G. Sharrar
This map shows the geographic impact of Robert G. Sharrar'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 G. Sharrar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert G. Sharrar more than expected).
Fields of papers citing papers by Robert G. Sharrar
This network shows the impact of papers produced by Robert G. Sharrar. 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 G. Sharrar. The network helps show where Robert G. Sharrar may publish in the future.
Co-authorship network of co-authors of Robert G. Sharrar
This figure shows the co-authorship network connecting the top 25 collaborators of Robert G. Sharrar. A scholar is included among the top collaborators of Robert G. Sharrar 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 G. Sharrar. Robert G. Sharrar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 47 | |
| 3 | 166 | |
| 4 | 44 | |
| 5 | 23 | |
| 6 | 17 | |
| 7 | 2 | |
| 8 | 185 | |
| 9 | 74 | |
| 10 | 47 | |
| 11 | 66 | |
| 12 | 206 | |
| 13 | Personal and ambient factors in cancer causation in an urban population. | 1 |
| 14 | 11 | |
| 15 | Evaluation of two rapid methods for the detection of herpes simplex virus antigen in patient specimens. | 9 |
| 16 | 19 | |
| 17 | 6 | |
| 18 | 19 | |
| 19 | 4 | |
| 20 | National influenza experience in the USA, 1968-69. | 28 |
About Robert G. Sharrar
Robert G. Sharrar is a scholar working on Toxicology, Endocrinology and Obstetrics and Gynecology, having authored 25 papers that have together received 2.3k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), COVID-19 Impact on Reproduction (3 papers) and Pregnancy and Medication Impact (3 papers). The work is most often cited by research in Endocrinology (1.1k citations), Virology (150 citations) and Parasitology (156 citations). Robert G. Sharrar has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Charles C. Shepard, H. James Beecham, Philip S. Brachman, David W. Fraser, William E. Parkin, Joseph E. McDade, John Harris, Stanley M. Martin, George F. Mallison and Walter A. Orenstein. Their work appears in journals such as New England Journal of Medicine, Annals of Internal Medicine and JNCI Journal of the National Cancer Institute.
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.