James E. Johndrow
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
-
- Markov Chains and Monte Carlo Methods 6
- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 3
-
- Bayesian Methods and Mixture Models 6
- Co-authors
- Jeffery S. Cox (1 shared paper)Sarah A. Stanley (1 shared paper)Paolo Manzanillo (1 shared paper)Júlio Aliberti (1 shared paper)Lísia Esper (1 shared paper)Alexandra Dias (1 shared paper)André Báfica (1 shared paper)Fabiana S. Machado (1 shared paper)
- Journals
- Biometrika (3 papers)Journal of Machine Learning Research (2 papers)Developmental Biology (1 paper)The Journal of Immunology (1 paper)Biometrics (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
James E. Johndrow
24 papers receiving 963 citations
Peers
Comparison fields: 5 of 123
- Immunology 329
- Infectious Diseases 234
- Cell Biology 152
- Epidemiology 208
- Statistics and Probability 55
Countries citing papers authored by James E. Johndrow
This map shows the geographic impact of James E. Johndrow'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 James E. Johndrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Johndrow more than expected).
Fields of papers citing papers by James E. Johndrow
This network shows the impact of papers produced by James E. Johndrow. 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 James E. Johndrow. The network helps show where James E. Johndrow may publish in the future.
Co-authors
The 25 scholars most cited alongside James E. Johndrow, 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 | 2007 | 348 | |
| 2 | 2006 | 269 | |
| 3 | 2006 | 122 | |
| 4 | 2007 | 54 | |
| 5 | 2005 | 23 | |
| 6 | Scalable Approximate MCMC Algorithms for the Horseshoe Prior | 2020 | 22 |
| 7 | 2019 | 20 | |
| 8 | 2004 | 18 | |
| 9 | 2006 | 14 | |
| 10 | 2022 | 11 | |
| 11 | 2015 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2018 | 9 | |
| 14 | Diagonal Orthant Multinomial Probit Models | 2013 | 8 |
| 15 | 2021 | 6 | |
| 16 | Error bounds for Approximations of Markov chains | 2017 | 5 |
| 17 | Sisyphus, the Drosophila myosin XV homolog, traffics within filopodia transporting key sensory and adhesion cargos | 2008 | 5 |
| 18 | 2018 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2022 | 4 |
About James E. Johndrow
James E. Johndrow is a scholar working on Statistics and Probability, Artificial Intelligence, Cell Biology, Modeling and Simulation and Molecular Biology, having authored 25 papers that have together received 977 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (6 papers), Bayesian Methods and Mixture Models (6 papers), COVID-19 epidemiological studies (4 papers), Statistical Methods and Bayesian Inference (4 papers), Cellular Mechanics and Interactions (4 papers), Statistical Methods and Inference (3 papers), Silk-based biomaterials and applications (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Immunology (329 citations), Infectious Diseases (234 citations), Cell Biology (152 citations), Epidemiology (208 citations) and Statistics and Probability (55 citations). James E. Johndrow has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Jeffery S. Cox, Sarah A. Stanley, Paolo Manzanillo, Júlio Aliberti, Lísia Esper, Alexandra Dias, André Báfica, Fabiana S. Machado, Charles N. Serhan and Susan M. Parkhurst. Their work appears in journals such as Biometrika, Journal of Machine Learning Research, Developmental Biology, The Journal of Immunology and Biometrics.
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.