G. Lecatsas
- Infectious Diseases top 5%
- Epidemiology top 10%
- Molecular Biology
- Oncology top 10%
- Genetics top 10%
- Co-authors
- J. J. AlexanderE. BeyE. W. GeddesO. W. ProzeskyG M MacnabJ. N. COETZEEBarry D. SchoubR. W. Hedges
- Topics
- Viral gastroenteritis research and epidemiology (15 papers)Polyomavirus and related diseases (14 papers)Vector-Borne Animal Diseases (11 papers)
- Journals
- NatureThe LancetSHILAP Revista de lepidopterología
- Partner nations
- South AfricaUnited KingdomUnited States
In The Last Decade
G. Lecatsas
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Infectious Diseases 488
- Epidemiology 458
- Molecular Biology 351
- Oncology 319
- Genetics 256
Countries citing papers authored by G. Lecatsas
This map shows the geographic impact of G. Lecatsas'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 G. Lecatsas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Lecatsas more than expected).
Fields of papers citing papers by G. Lecatsas
This network shows the impact of papers produced by G. Lecatsas. 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 G. Lecatsas. The network helps show where G. Lecatsas may publish in the future.
Co-authorship network of co-authors of G. Lecatsas
This figure shows the co-authorship network connecting the top 25 collaborators of G. Lecatsas. A scholar is included among the top collaborators of G. Lecatsas 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 G. Lecatsas. G. Lecatsas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | An investigation of the occurrence of SV40 antibodies in South Africa. | 11 |
| 3 | Xenozoonoses: assessing activation of latent/unknown viruses in immunosuppressed baboons. | 1 |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 21 | |
| 7 | Peak Prevalence of HIV in Namibian Teenagers | 2 |
| 8 | The mechanical transmission of hepatitis B virus by the common bedbug (Cimex lectularius L.) in South Africa. | 44 |
| 9 | 15 | |
| 10 | 28 | |
| 11 | A microbiological study of gastro-enteritis in Black infants. | 32 |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 45 | |
| 17 | 70 | |
| 18 | Visualization of the extracapsid coat in certain bluetongue-type viruses. | 7 |
| 19 | Electron microscopic studies on Corriparta virus. | 1 |
| 20 | 1 |
About G. Lecatsas
G. Lecatsas is a scholar working on Endocrinology, Infectious Diseases and Virology, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (15 papers), Polyomavirus and related diseases (14 papers) and Vector-Borne Animal Diseases (11 papers). The work is most often cited by research in Hepatology (224 citations), Infectious Diseases (488 citations) and Endocrinology (81 citations). G. Lecatsas has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include J. J. Alexander, E. Bey, E. W. Geddes, O. W. Prozesky, G M Macnab, J. N. COETZEE, Barry D. Schoub, R. W. Hedges, J.A. Van Wyk and I Freiman. Their work appears in journals such as Nature, The Lancet and SHILAP Revista de lepidopterología.
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.