Agus Salim
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aging top 5%
Papers in
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- Community-based Tourism Development and Sustainability 10
- Co-authors
- Kaarin J. Anstey (8 shared papers)Chwee von Sanden (2 shared papers)Richard O’Kearney (1 shared paper)David A. Stroud (2 shared papers)Michael T. Ryan (2 shared papers)Yudi Pawitan (17 shared papers)Kee Seng Chia (6 shared papers)Shivakumar Keerthikumar (2 shared papers)
In The Last Decade
Agus Salim
198 papers receiving 5.9k citations
Agus Salim's Hit Papers
Peers
Comparison fields: 5 of 196
- Cancer Research 497
- Aging 46
- Molecular Biology 1.6k
- Psychiatry and Mental health 314
- Physiology 530
Countries citing papers authored by Agus Salim
This map shows the geographic impact of Agus Salim'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 Agus Salim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agus Salim more than expected).
Fields of papers citing papers by Agus Salim
This network shows the impact of papers produced by Agus Salim. 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 Agus Salim. The network helps show where Agus Salim may publish in the future.
Co-authors
The 25 scholars most cited alongside Agus Salim, 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 225 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FunRich: An open access standalone functional enrichment and interaction network analysis tool Hit paper breakdown → | 2015 | 1003 |
| 2 | Smoking as a Risk Factor for Dementia and Cognitive Decline: A Meta-Analysis of Prospective Studies Hit paper breakdown → | 2007 | 636 |
| 3 | 2016 | 396 | |
| 4 | 2003 | 180 | |
| 5 | 2012 | 160 | |
| 6 | 2008 | 157 | |
| 7 | 2012 | 121 | |
| 8 | 2020 | 118 | |
| 9 | 2019 | 113 | |
| 10 | 2020 | 111 | |
| 11 | 2020 | 96 | |
| 12 | 2021 | 82 | |
| 13 | 2006 | 81 | |
| 14 | 2004 | 78 | |
| 15 | 2011 | 77 | |
| 16 | 2010 | 72 | |
| 17 | 2010 | 71 | |
| 18 | 2016 | 68 | |
| 19 | 2011 | 66 | |
| 20 | 2019 | 65 |
About Agus Salim
Agus Salim is a scholar working on Sociology and Political Science, Molecular Biology, Genetics, Education and Management, Monitoring, Policy and Law, having authored 225 papers that have together received 6.1k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (10 papers), Coastal Management and Development (10 papers), Community-based Tourism Development and Sustainability (10 papers), Education and Character Development (8 papers), Advanced Causal Inference Techniques (8 papers), Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (7 papers) and Genetic Associations and Epidemiology (7 papers). The work is most often cited by research in Cancer Research (497 citations), Aging (46 citations), Molecular Biology (1.6k citations), Psychiatry and Mental health (314 citations) and Physiology (530 citations). Agus Salim has collaborated with scholars based in Australia, Singapore and Indonesia. Frequent co-authors include Kaarin J. Anstey, Chwee von Sanden, Richard O’Kearney, David A. Stroud, Michael T. Ryan, Yudi Pawitan, Kee Seng Chia, Shivakumar Keerthikumar, Suresh Mathivanan and Antony W. Burgess. Their work appears in journals such as Statistics in Medicine, Bioinformatics, Diabetes Research and Clinical Practice, Diabetologia and BMC Bioinformatics.
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.