S D Puthucheary
- Epidemiology top 5%
- Food Science top 1%
- Endocrinology top 0.5%
- Infectious Diseases top 5%
- Immunology top 10%
- Co-authors
- T. PangKwai Lin ThongN ParasakthiKek Heng ChuaJamuna VadiveluSuat Moi PuahKum Thong WongM. J. Robinson
- Topics
- Burkholderia infections and melioidosis (30 papers)Salmonella and Campylobacter epidemiology (24 papers)Vibrio bacteria research studies (16 papers)
- Partner nations
- MalaysiaSingaporeUnited Kingdom
In The Last Decade
S D Puthucheary
96 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 108
- Epidemiology 816
- Food Science 690
- Endocrinology 577
- Infectious Diseases 412
- Immunology 316
Countries citing papers authored by S D Puthucheary
This map shows the geographic impact of S D Puthucheary'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 D Puthucheary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S D Puthucheary more than expected).
Fields of papers citing papers by S D Puthucheary
This network shows the impact of papers produced by S D Puthucheary. 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 D Puthucheary. The network helps show where S D Puthucheary may publish in the future.
Co-authorship network of co-authors of S D Puthucheary
This figure shows the co-authorship network connecting the top 25 collaborators of S D Puthucheary. A scholar is included among the top collaborators of S D Puthucheary 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 D Puthucheary. S D Puthucheary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 3 | |
| 3 | 33 | |
| 4 | 27 | |
| 5 | 74 | |
| 6 | 5 | |
| 7 | Melioidosis in Malaysia. | 53 |
| 8 | 2 | |
| 9 | Salmonellosis in persons infected with human immunodeficiency virus: a report of seven cases from Malaysia. | 8 |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 27 | |
| 13 | Bacterial enteropathogens isolated in childhood diarrhoea in Kuala Lumpur--the changing trend. | 22 |
| 14 | 28 | |
| 15 | Genomic analysis of salmonella species based on 16S rRNA gene sequences | 0 |
| 16 | 19 | |
| 17 | 24 | |
| 18 | 15 | |
| 19 | 1 | |
| 20 | 59 |
About S D Puthucheary
S D Puthucheary is a scholar working on Endocrinology, Molecular Medicine and Small Animals, having authored 97 papers that have together received 2.3k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (30 papers), Salmonella and Campylobacter epidemiology (24 papers) and Vibrio bacteria research studies (16 papers). The work is most often cited by research in Endocrinology (577 citations), Molecular Medicine (216 citations) and Food Science (690 citations). S D Puthucheary has collaborated with scholars based in Malaysia, Singapore and United Kingdom. Frequent co-authors include T. Pang, Kwai Lin Thong, N Parasakthi, Kek Heng Chua, Jamuna Vadivelu, Suat Moi Puah, Jamuna Vadivelu, Kum Thong Wong, M. J. Robinson and Way Seah Lee. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and Infection and Immunity.
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.