Richard Allen
- Molecular Biology
- Infectious Diseases
- Pediatrics, Perinatology and Child Health
- Computational Theory and Mathematics top 10%
- Epidemiology
- Co-authors
- Cynthia J. MusanteFred MendonçaRohit RaoJohn M. BertoniHaihong ShiRavi Shankar Prasad SinghTheodore R. RiegerGianluca Nucci
- Topics
- Computational Drug Discovery Methods (7 papers)Liver Disease Diagnosis and Treatment (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
- Journals
- Annals of NeurologyAmerican Journal of Physiology-Endocrinology and MetabolismAnesthesia & Analgesia
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Richard Allen
25 papers receiving 499 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 119
- Infectious Diseases 96
- Pediatrics, Perinatology and Child Health 84
- Computational Theory and Mathematics 63
- Epidemiology 56
Countries citing papers authored by Richard Allen
This map shows the geographic impact of Richard Allen'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 Richard Allen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Allen more than expected).
Fields of papers citing papers by Richard Allen
This network shows the impact of papers produced by Richard Allen. 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 Richard Allen. The network helps show where Richard Allen may publish in the future.
Co-authorship network of co-authors of Richard Allen
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Allen. A scholar is included among the top collaborators of Richard Allen 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 Richard Allen. Richard Allen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 21 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 28 | |
| 6 | 4 | |
| 7 | 90 | |
| 8 | 16 | |
| 9 | 20 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 65 | |
| 13 | 27 | |
| 14 | 8 | |
| 15 | 0 | |
| 16 | 21 | |
| 17 | 20 | |
| 18 | 35 | |
| 19 | Expanding the missions of graduate and professional education | 4 |
| 20 | 10 |
About Richard Allen
Richard Allen is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 526 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Modeling and Simulation (28 citations), Clinical Biochemistry (38 citations) and Infectious Diseases (96 citations). Richard Allen has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Cynthia J. Musante, Fred Mendonça, Rohit Rao, John M. Bertoni, Haihong Shi, Ravi Shankar Prasad Singh, Theodore R. Rieger, Gianluca Nucci, Sandeep Menon and Anna Sher. Their work appears in journals such as Annals of Neurology, American Journal of Physiology-Endocrinology and Metabolism and Anesthesia & Analgesia.
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.