Alexander Franks
Impact in
- Aging top 10%
-
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Heat shock proteins research
- Fungal and yeast genetics research
- Single-cell and spatial transcriptomics
Papers in
-
- Statistical Methods and Bayesian Inference 2
- Co-authors
- Edoardo M. AiroldiNikolai SlavovD. Allan DrummondGábor CsárdiJamie L. Kear‐ScottTao PanMichael SchwartzAlexandra E. Rojek
- Journals
- Journal of the American Statistical Association (3 papers)PLoS Computational Biology (2 papers)The Annals of Applied Statistics (2 papers)Journal of Quantitative Analysis in Sports (2 papers)The Journals of Gerontology Series A (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Alexander Franks
17 papers receiving 943 citations
Peers
Comparison fields: 5 of 122
- Aging 38
- Molecular Biology 658
- Cell Biology 121
- Spectroscopy 112
- Statistics and Probability 47
Countries citing papers authored by Alexander Franks
This map shows the geographic impact of Alexander Franks'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 Alexander Franks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Franks more than expected).
Fields of papers citing papers by Alexander Franks
This network shows the impact of papers produced by Alexander Franks. 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 Alexander Franks. The network helps show where Alexander Franks may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Franks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 3 | |
| 7 | 2019 | 46 | |
| 8 | 2019 | 45 | |
| 9 | 2018 | 3 | |
| 10 | 2018 | 116 | |
| 11 | 2017 | 132 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 28 | |
| 14 | 2015 | 130 | |
| 15 | 2015 | 371 | |
| 16 | 2015 | 20 | |
| 17 | 2014 | 6 | |
| 18 | 2013 | 1 |
About Alexander Franks
Alexander Franks is a scholar working on Statistics and Probability, Biological Psychiatry, Orthopedics and Sports Medicine, Management Science and Operations Research and Economics and Econometrics, having authored 18 papers that have together received 951 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (3 papers), Sports Analytics and Performance (3 papers), Statistical Methods and Bayesian Inference (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Sports Performance and Training (2 papers). The work is most often cited by research in Aging (38 citations), Molecular Biology (658 citations), Cell Biology (121 citations), Spectroscopy (112 citations) and Statistics and Probability (47 citations). Alexander Franks has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Edoardo M. Airoldi, Nikolai Slavov, D. Allan Drummond, Gábor Csárdi, Jamie L. Kear‐Scott, Tao Pan, Michael Schwartz, Alexandra E. Rojek, Bogdan Budnik and Joshua A. Riback. Their work appears in journals such as Journal of the American Statistical Association, PLoS Computational Biology, The Annals of Applied Statistics, Journal of Quantitative Analysis in Sports and The Journals of Gerontology Series A.
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.