Eby M. Sim
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Tuberculosis Research and Epidemiology 4
- Viral gastroenteritis research and epidemiology 3
- SARS-CoV-2 and COVID-19 Research 3
-
- Escherichia coli research studies 3
- Co-authors
- Ali J. Ryan (1 shared paper)Areej Abuhammad (1 shared paper)Sotiria Boukouvala (2 shared papers)Mark A. Payton (2 shared papers)Vitali Sintchenko (14 shared papers)Elizabeth Fullam (1 shared paper)Angela J. Russell (1 shared paper)Akane Kawamura (1 shared paper)
- Journals
- Nature Communications (2 papers)Neurology (2 papers)Applied and Environmental Microbiology (2 papers)The Lancet Microbe (2 papers)Frontiers in Microbiology (1 paper)
- Partner nations
- AustraliaUnited KingdomColombia
In The Last Decade
Eby M. Sim
28 papers receiving 979 citations
Peers
Comparison fields: 5 of 117
- Endocrinology 120
- Modeling and Simulation 101
- Infectious Diseases 297
- Molecular Medicine 77
- Rehabilitation 92
Countries citing papers authored by Eby M. Sim
This map shows the geographic impact of Eby M. Sim'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 Eby M. Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eby M. Sim more than expected).
Fields of papers citing papers by Eby M. Sim
This network shows the impact of papers produced by Eby M. Sim. 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 Eby M. Sim. The network helps show where Eby M. Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Eby M. Sim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 235 | |
| 2 | 2016 | 163 | |
| 3 | 2014 | 143 | |
| 4 | 2022 | 67 | |
| 5 | 2017 | 52 | |
| 6 | 2012 | 50 | |
| 7 | 2003 | 47 | |
| 8 | 2023 | 45 | |
| 9 | 2023 | 45 | |
| 10 | 2006 | 43 | |
| 11 | 2000 | 31 | |
| 12 | 2017 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2023 | 10 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 5 |
About Eby M. Sim
Eby M. Sim is a scholar working on Infectious Diseases, Endocrinology, Molecular Medicine, Microbiology and Ecology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (6 papers), Antibiotic Resistance in Bacteria (5 papers), Tuberculosis Research and Epidemiology (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Escherichia coli research studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Mycobacterium research and diagnosis (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Endocrinology (120 citations), Modeling and Simulation (101 citations), Infectious Diseases (297 citations), Molecular Medicine (77 citations) and Rehabilitation (92 citations). Eby M. Sim has collaborated with scholars based in Australia, United Kingdom and Colombia. Frequent co-authors include Ali J. Ryan, Areej Abuhammad, Sotiria Boukouvala, Mark A. Payton, Vitali Sintchenko, Elizabeth Fullam, Angela J. Russell, Akane Kawamura, Isaac M. Westwood and Lucía Galli. Their work appears in journals such as Nature Communications, Neurology, Applied and Environmental Microbiology, The Lancet Microbe and Frontiers in 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.