Roger Higdon
- Molecular Biology top 10%
- Physiology top 5%
- Psychiatry and Mental health top 2%
- Public Health, Environmental and Occupational Health top 5%
- Economics and Econometrics top 5%
- Co-authors
- Eugene KolkerGerald van BelleWalter A. KukullJames D. BowenWayne C. McCormickLinda TeriEric B. LarsonGerard D. Schellenberg
- Topics
- Advanced Proteomics Techniques and Applications (19 papers)Bioinformatics and Genomic Networks (16 papers)Machine Learning in Bioinformatics (11 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Roger Higdon
61 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 1.1k
- Physiology 775
- Psychiatry and Mental health 676
- Public Health, Environmental and Occupational Health 470
- Economics and Econometrics 312
Countries citing papers authored by Roger Higdon
This map shows the geographic impact of Roger Higdon'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 Roger Higdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Higdon more than expected).
Fields of papers citing papers by Roger Higdon
This network shows the impact of papers produced by Roger Higdon. 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 Roger Higdon. The network helps show where Roger Higdon may publish in the future.
Co-authorship network of co-authors of Roger Higdon
This figure shows the co-authorship network connecting the top 25 collaborators of Roger Higdon. A scholar is included among the top collaborators of Roger Higdon 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 Roger Higdon. Roger Higdon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 20 | |
| 3 | 19 | |
| 4 | 12 | |
| 5 | 9 | |
| 6 | 34 | |
| 7 | 49 | |
| 8 | 96 | |
| 9 | 82 | |
| 10 | 45 | |
| 11 | 22 | |
| 12 | 25 | |
| 13 | 399 | |
| 14 | 33 | |
| 15 | 142 | |
| 16 | 78 | |
| 17 | 68 | |
| 18 | 17 | |
| 19 | Dementia and Alzheimer Disease Incidencebreakdown → | 563 |
| 20 | 25 |
About Roger Higdon
Roger Higdon is a scholar working on Spectroscopy, Neuropsychology and Physiological Psychology and Molecular Biology, having authored 62 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (19 papers), Bioinformatics and Genomic Networks (16 papers) and Machine Learning in Bioinformatics (11 papers). The work is most often cited by research in Psychiatry and Mental health (676 citations), Physiology (775 citations) and Neurology (208 citations). Roger Higdon has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Eugene Kolker, Gerald van Belle, Walter A. Kukull, James D. Bowen, Wayne C. McCormick, Linda Teri, Eric B. Larson, Gerard D. Schellenberg, Natali Kolker and Larissa Stanberry. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and 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.