S J Smith
- Endocrinology top 1%
- Infectious Diseases top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- L H OrrisonWilliam B. CherryDaniel H. PopeDavid L. TisonC.B. FliermansDavid B. WallaceJanusz T. PawęskaAntoinette A. Grobbelaar
- Topics
- Viral Infections and Vectors (4 papers)Vector-Borne Animal Diseases (4 papers)Viral Infections and Outbreaks Research (3 papers)
- Partner nations
- South AfricaUnited StatesAustralia
In The Last Decade
S J Smith
10 papers receiving 844 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Endocrinology 405
- Infectious Diseases 339
- Molecular Biology 266
- Ecology, Evolution, Behavior and Systematics 207
- Health, Toxicology and Mutagenesis 191
Countries citing papers authored by S J Smith
This map shows the geographic impact of S J Smith'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 S J Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S J Smith more than expected).
Fields of papers citing papers by S J Smith
This network shows the impact of papers produced by S J Smith. 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 S J Smith. The network helps show where S J Smith may publish in the future.
Co-authorship network of co-authors of S J Smith
This figure shows the co-authorship network connecting the top 25 collaborators of S J Smith. A scholar is included among the top collaborators of S J Smith 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 S J Smith. S J Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 64 | |
| 3 | 94 | |
| 4 | 102 | |
| 5 | Indirect enzyme-linked immunosorbent assay for the detection of antibody against Rift Valley fever virus in domestic and wild ruminant sera. | 52 |
| 6 | Validation of an indirect enzyme-linked immunosorbent assay for the detection of antibody against Brucella abortus in cattle sera using an automated ELISA workstation. | 22 |
| 7 | 62 | |
| 8 | Dissociation of mannan--serum complexes and detection of Candida albicans mannan by enzyme immunoassay variations. | 39 |
| 9 | Ecological distribution of Legionella pneumophilabreakdown → | 435 |
| 10 | 37 |
About S J Smith
S J Smith is a scholar working on Endocrinology, Infectious Diseases and Virology, having authored 10 papers that have together received 947 indexed citations. Recurring topics across this work include Viral Infections and Vectors (4 papers), Vector-Borne Animal Diseases (4 papers) and Viral Infections and Outbreaks Research (3 papers). The work is most often cited by research in Endocrinology (405 citations), Virology (101 citations) and Infectious Diseases (339 citations). S J Smith has collaborated with scholars based in South Africa, United States and Australia. Frequent co-authors include L H Orrison, William B. Cherry, Daniel H. Pope, David L. Tison, C.B. Fliermans, David B. Wallace, Janusz T. Pawęska, Antoinette A. Grobbelaar, G. J. Viljoen and Robert Swanepoel. Their work appears in journals such as Applied and Environmental Microbiology, PEDIATRICS and The Journal of Infectious Diseases.
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.