Samuel Saslaw
- Molecular Biology
- Infectious Diseases top 5%
- Epidemiology top 10%
- Genetics top 5%
- Pharmacology top 5%
- Co-authors
- Robert L. PerkinsMichael A. ApicellaRobert J. FassCharlotte C. CampbellJohn A. PriorBertha A. BouroncleC. R. ColeFrancis E. Cuppage
- Topics
- Antibiotics Pharmacokinetics and Efficacy (21 papers)Fungal Infections and Studies (18 papers)Antimicrobial Resistance in Staphylococcus (15 papers)
- Partner nations
- United States
In The Last Decade
Samuel Saslaw
96 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 675
- Infectious Diseases 538
- Epidemiology 403
- Genetics 382
- Pharmacology 329
Countries citing papers authored by Samuel Saslaw
This map shows the geographic impact of Samuel Saslaw'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 Samuel Saslaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Saslaw more than expected).
Fields of papers citing papers by Samuel Saslaw
This network shows the impact of papers produced by Samuel Saslaw. 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 Samuel Saslaw. The network helps show where Samuel Saslaw may publish in the future.
Co-authorship network of co-authors of Samuel Saslaw
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Saslaw. A scholar is included among the top collaborators of Samuel Saslaw 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 Samuel Saslaw. Samuel Saslaw 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 | 2 | |
| 3 | Studies on therapy of staphylococcal infections in monkeys. 8. Comparison of cephalothin, cephaloridine, cefazolin, cephacetrile, and cephanone. | 0 |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 53 | |
| 9 | 16 | |
| 10 | 6 | |
| 11 | The pathogenesis of Rocky Mountain spotted fever in monkeys, infected by inhalation. | 14 |
| 12 | 20 | |
| 13 | 1 | |
| 14 | PNEUMOCOCCAL INFECTIONS IN NORMAL AND SPLENECTOMIZED MONKEYS. | 4 |
| 15 | 17 | |
| 16 | 23 | |
| 17 | Studies with tularemia vaccines in volunteers. III. Serologic aspects following intracutaneous or respiratory challenge in both vaccinated and nonvaccinated volunteers. | 42 |
| 18 | 4 | |
| 19 | The relationship of proved histoplasmosis to histoplasmin skin sensitivity in Ohio. | 4 |
| 20 | 12 |
About Samuel Saslaw
Samuel Saslaw is a scholar working on Infectious Diseases, Molecular Medicine and Pharmacology, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (21 papers), Fungal Infections and Studies (18 papers) and Antimicrobial Resistance in Staphylococcus (15 papers). The work is most often cited by research in Virology (216 citations), Infectious Diseases (538 citations) and Molecular Medicine (138 citations). Samuel Saslaw has collaborated with scholars based in United States. Frequent co-authors include Robert L. Perkins, Michael A. Apicella, Robert J. Fass, Charlotte C. Campbell, John A. Prior, Bertha A. Bouroncle, C. R. Cole, Francis E. Cuppage, Glenn R. Hodges and Charles A. Doan. Their work appears in journals such as New England Journal of Medicine, JAMA and Annals of Internal Medicine.
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.