L R Trabulsi
- Endocrinology top 2%
- Infectious Diseases top 10%
- Food Science top 10%
- Genetics
- Molecular Biology
- Co-authors
- Vanessa SperandioMatthew S. WaltersMarcelo Palma SirciliTânia A. T. GomesM R ToledoWerner K. MaasR. G. M. MaasCarlos Frederico Leite Fontes
- Topics
- Escherichia coli research studies (12 papers)Viral gastroenteritis research and epidemiology (9 papers)Salmonella and Campylobacter epidemiology (4 papers)
- Partner nations
- BrazilUnited StatesItaly
In The Last Decade
L R Trabulsi
20 papers receiving 347 citations
Peers
Comparison fields: 5 of 55
- Endocrinology 277
- Infectious Diseases 162
- Food Science 121
- Genetics 95
- Molecular Biology 90
Countries citing papers authored by L R Trabulsi
This map shows the geographic impact of L R Trabulsi'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 L R Trabulsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L R Trabulsi more than expected).
Fields of papers citing papers by L R Trabulsi
This network shows the impact of papers produced by L R Trabulsi. 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 L R Trabulsi. The network helps show where L R Trabulsi may publish in the future.
Co-authorship network of co-authors of L R Trabulsi
This figure shows the co-authorship network connecting the top 25 collaborators of L R Trabulsi. A scholar is included among the top collaborators of L R Trabulsi 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 L R Trabulsi. L R Trabulsi 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 | 102 | |
| 3 | 14 | |
| 4 | 28 | |
| 5 | 48 | |
| 6 | 1 | |
| 7 | Etiologia da diarréia infecciosa endêmica da criança de baixo nivel sócio-econômico em São Paulo | 7 |
| 8 | 2 | |
| 9 | 30 | |
| 10 | 24 | |
| 11 | 8 | |
| 12 | Invasibilidade e enterotoxigenicidade de yersinia enterocolitica e das especies atipicas de yersinia isoladas do homem e de caes no brasil | 3 |
| 13 | MILi - a medium for detection of motility, indole and lysine decarboxylase. | 28 |
| 14 | Escherichia coli strains producing LT toxin isolated from processed food. | 0 |
| 15 | 14 | |
| 16 | 33 | |
| 17 | Resistance to mercury in enteric organisms frequency and genetic nature | 2 |
| 18 | 15 | |
| 19 | 6 | |
| 20 | 5 |
About L R Trabulsi
L R Trabulsi is a scholar working on Endocrinology, Molecular Medicine and Infectious Diseases, having authored 21 papers that have together received 384 indexed citations. Recurring topics across this work include Escherichia coli research studies (12 papers), Viral gastroenteritis research and epidemiology (9 papers) and Salmonella and Campylobacter epidemiology (4 papers). The work is most often cited by research in Endocrinology (277 citations), Molecular Medicine (46 citations) and Infectious Diseases (162 citations). L R Trabulsi has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Vanessa Sperandio, Matthew S. Walters, Marcelo Palma Sircili, Tânia A. T. Gomes, M R Toledo, Werner K. Maas, R. G. M. Maas, Carlos Frederico Leite Fontes, Leila Carvalho Campos and Thomas S. Whittam. Their work appears in journals such as Gastroenterology, Applied and Environmental Microbiology and Journal of Clinical Microbiology.
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.