Tom Jacobs
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- Statistical Methods in Clinical Trials 12
- Statistical Methods and Bayesian Inference 3
- Statistics Education and Methodologies 2
-
- Alzheimer's disease research and treatments 6
- Co-authors
- Jean V. Manca (1 shared paper)Bert Conings (1 shared paper)Jan D’Haen (1 shared paper)Linny Baeten (1 shared paper)H.‐G. Boyen (1 shared paper)Helena Geys (6 shared papers)Thierry Verbinnen (2 shared papers)Herman Borghys (3 shared papers)
- Journals
- Pharmaceutical Statistics (4 papers)Journal of Medicinal Chemistry (3 papers)Journal of Biopharmaceutical Statistics (3 papers)Journal of Alzheimer s Disease (2 papers)Statistics in Biopharmaceutical Research (2 papers)
- Partner nations
- BelgiumUnited KingdomUnited States
In The Last Decade
Tom Jacobs
23 papers receiving 475 citations
Peers
Comparison fields: 5 of 56
- Neurology 108
- Physiology 142
- Hepatology 25
- Statistics and Probability 26
- Electrical and Electronic Engineering 109
Countries citing papers authored by Tom Jacobs
This map shows the geographic impact of Tom Jacobs'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 Tom Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Jacobs more than expected).
Fields of papers citing papers by Tom Jacobs
This network shows the impact of papers produced by Tom Jacobs. 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 Tom Jacobs. The network helps show where Tom Jacobs may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Jacobs, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 195 | |
| 2 | 2014 | 111 | |
| 3 | 2019 | 26 | |
| 4 | 2016 | 24 | |
| 5 | 2015 | 20 | |
| 6 | 2021 | 17 | |
| 7 | 2013 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2012 | 11 | |
| 10 | 2008 | 9 | |
| 11 | 2025 | 9 | |
| 12 | 2018 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2010 | 5 | |
| 15 | 2012 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2008 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2017 | 2 |
About Tom Jacobs
Tom Jacobs is a scholar working on Statistics and Probability, Physiology, Hepatology, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 25 papers that have together received 491 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (12 papers), Alzheimer's disease research and treatments (6 papers), Statistical Methods and Bayesian Inference (3 papers), Hepatitis C virus research (2 papers), Pharmaceutical studies and practices (2 papers), Statistics Education and Methodologies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Neurology (108 citations), Physiology (142 citations), Hepatology (25 citations), Statistics and Probability (26 citations) and Electrical and Electronic Engineering (109 citations). Tom Jacobs has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Jean V. Manca, Bert Conings, Jan D’Haen, Linny Baeten, H.‐G. Boyen, Helena Geys, Thierry Verbinnen, Herman Borghys, Oliver Lenz and Thomas Jaki. Their work appears in journals such as Pharmaceutical Statistics, Journal of Medicinal Chemistry, Journal of Biopharmaceutical Statistics, Journal of Alzheimer s Disease and Statistics in Biopharmaceutical Research.
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.