Jay S. Goodman
- Epidemiology top 10%
- Infectious Diseases top 5%
- Surgery
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Co-authors
- M. Glenn KoenigWilliam SchaffnerHarold A. CollinsLeo KaufmanMatthias KoenigLewis B. LefkowitzDuncan A. KillenWilliam B. Baine
- Topics
- Infective Endocarditis Diagnosis and Management (5 papers)Antifungal resistance and susceptibility (4 papers)Antimicrobial Resistance in Staphylococcus (4 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Jay S. Goodman
28 papers receiving 663 citations
Peers
Comparison fields: 5 of 98
- Epidemiology 372
- Infectious Diseases 250
- Surgery 195
- Molecular Biology 121
- Public Health, Environmental and Occupational Health 121
Countries citing papers authored by Jay S. Goodman
This map shows the geographic impact of Jay S. Goodman'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 Jay S. Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay S. Goodman more than expected).
Fields of papers citing papers by Jay S. Goodman
This network shows the impact of papers produced by Jay S. Goodman. 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 Jay S. Goodman. The network helps show where Jay S. Goodman may publish in the future.
Co-authorship network of co-authors of Jay S. Goodman
This figure shows the co-authorship network connecting the top 25 collaborators of Jay S. Goodman. A scholar is included among the top collaborators of Jay S. Goodman 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 Jay S. Goodman. Jay S. Goodman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 50 | |
| 3 | 21 | |
| 4 | Sporotrichoid Nocardia brasiliensis Infection | 0 |
| 5 | 15 | |
| 6 | Importance of accurate placement of precordial leads in the 12-lead electrocardiogram. | 20 |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 40 | |
| 12 | 51 | |
| 13 | 36 | |
| 14 | 178 | |
| 15 | Lysostaphin: an enzymatic approach to staphylococcal disease. 3. Combined lysostaphin-methicillin therapy of established staphylococcal abscesses in mice. | 25 |
| 16 | Serum factors and the reticuloendothelial uptake of Staphylococcus aureus. I. The role of whole serum. | 8 |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 7 |
About Jay S. Goodman
Jay S. Goodman is a scholar working on Microbiology, Infectious Diseases and Endocrinology, having authored 32 papers that have together received 834 indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (5 papers), Antifungal resistance and susceptibility (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). The work is most often cited by research in Microbiology (61 citations), Infectious Diseases (250 citations) and Clinical Biochemistry (74 citations). Jay S. Goodman has collaborated with scholars based in United States and Germany. Frequent co-authors include M. Glenn Koenig, William Schaffner, Harold A. Collins, Leo Kaufman, Matthias Koenig, Lewis B. Lefkowitz, Duncan A. Killen, William B. Baine, Elçin Ünal and H. Earl Ginn. Their work appears in journals such as New England Journal of Medicine, Nucleic Acids Research and The Journal of Immunology.
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.