James E. Johndrow

1.5k total citations
24 papers, 923 citations indexed

About

James E. Johndrow is a scholar working on Statistics and Probability, Artificial Intelligence and Cell Biology. According to data from OpenAlex, James E. Johndrow has authored 24 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 4 papers in Cell Biology. Recurrent topics in James E. Johndrow's work include Bayesian Methods and Mixture Models (5 papers), Markov Chains and Monte Carlo Methods (5 papers) and COVID-19 epidemiological studies (4 papers). James E. Johndrow is often cited by papers focused on Bayesian Methods and Mixture Models (5 papers), Markov Chains and Monte Carlo Methods (5 papers) and COVID-19 epidemiological studies (4 papers). James E. Johndrow collaborates with scholars based in United States, United Kingdom and Italy. James E. Johndrow's co-authors include Paolo Manzanillo, Sarah A. Stanley, Jeffery S. Cox, Susan M. Parkhurst, Lísia Esper, Alexandra Dias, Charles N. Serhan, André Báfica, Júlio Aliberti and Fabiana S. Machado and has published in prestigious journals such as Journal of the American Chemical Society, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

James E. Johndrow

23 papers receiving 911 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James E. Johndrow United States 10 323 302 220 197 155 24 923
Lindsay N. Carpp United States 18 233 0.7× 776 2.6× 328 1.5× 157 0.8× 234 1.5× 37 1.4k
Thorsten Forster United Kingdom 24 570 1.8× 1.1k 3.6× 135 0.6× 345 1.8× 56 0.4× 53 2.2k
Quentin Giai Gianetto France 16 82 0.3× 560 1.9× 110 0.5× 120 0.6× 102 0.7× 45 907
Fabien Crauste France 18 255 0.8× 303 1.0× 54 0.2× 61 0.3× 60 0.4× 51 1.1k
Carolyn J.M. Best United States 14 68 0.2× 827 2.7× 87 0.4× 101 0.5× 103 0.7× 18 1.3k
Zhining Wang United States 14 134 0.4× 852 2.8× 91 0.4× 107 0.5× 38 0.2× 22 1.3k
Amir Foroushani Canada 9 291 0.9× 717 2.4× 82 0.4× 134 0.7× 32 0.2× 10 1.2k
Sylviane Pied France 25 865 2.7× 398 1.3× 114 0.5× 219 1.1× 41 0.3× 61 2.1k
Jason J. Stephany United States 17 307 1.0× 1.2k 3.8× 150 0.7× 119 0.6× 37 0.2× 22 1.7k
L. E. Glynn United States 9 211 0.7× 163 0.5× 76 0.3× 118 0.6× 20 0.1× 27 865

Countries citing papers authored by James E. Johndrow

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of James E. Johndrow

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Johndrow. A scholar is included among the top collaborators of James E. Johndrow 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 James E. Johndrow. James E. Johndrow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Hosseini, Bamdad & James E. Johndrow. (2023). Spectral gaps and error estimates for infinite-dimensional Metropolis–Hastings with non-Gaussian priors. The Annals of Applied Probability. 33(3). 3 indexed citations
3.
Bhattacharya, Anirban, et al.. (2022). Coupling-based Convergence Assessment of some Gibbs Samplers for High-Dimensional Bayesian Regression with Shrinkage Priors. Journal of the Royal Statistical Society Series B (Statistical Methodology). 84(3). 973–996. 4 indexed citations
4.
Lum, Kristian, et al.. (2021). Removing the Influence of Group Variables in High-Dimensional Predictive Modelling. Journal of the Royal Statistical Society Series A (Statistics in Society). 184(3). 791–811. 5 indexed citations
5.
Johndrow, James E., et al.. (2020). Scalable Approximate MCMC Algorithms for the Horseshoe Prior. Journal of Machine Learning Research. 21(73). 1–61. 22 indexed citations
6.
Johndrow, James E., Kristian Lum, & Patrick Ball. (2020). Estimating SARS-CoV-2-positive Americans using deaths-only data. arXiv (Cornell University). 2 indexed citations
7.
Johndrow, James E., et al.. (2020). Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States. SHILAP Revista de lepidopterología. 9 indexed citations
8.
Dunson, David B. & James E. Johndrow. (2019). The Hastings algorithm at fifty. Biometrika. 107(1). 1–23. 19 indexed citations
9.
Johndrow, James E., et al.. (2018). Low-risk population size estimates in the presence of capture heterogeneity. Biometrika. 106(1). 197–210. 4 indexed citations
10.
Johndrow, James E. & Jonathan C. Mattingly. (2017). Error bounds for Approximations of Markov chains. DukeSpace (Duke University). 5 indexed citations
11.
Duan, Leo L., James E. Johndrow, & David B. Dunson. (2017). Scaling up Data Augmentation MCMC via Calibration. Journal of Machine Learning Research. 19(64). 1–34. 5 indexed citations
12.
Johndrow, James E., Jun Abe, Stefan Lüpold, et al.. (2015). Genetic diversity does not explain variation in extra‐pair paternity in multiple populations of a songbird. Journal of Evolutionary Biology. 28(5). 1156–1169. 9 indexed citations
13.
Johndrow, James E., David B. Dunson, & Kristian Lum. (2013). Diagonal Orthant Multinomial Probit Models. International Conference on Artificial Intelligence and Statistics. 29–38. 8 indexed citations
14.
Liu, Raymond, et al.. (2008). Sisyphus, the Drosophila myosin XV homolog, traffics within filopodia transporting key sensory and adhesion cargos. Journal of Cell Science. 121(1). 5 indexed citations
15.
Stanley, Sarah A., James E. Johndrow, Paolo Manzanillo, & Jeffery S. Cox. (2007). The Type I IFN Response to Infection with Mycobacterium tuberculosis Requires ESX-1-Mediated Secretion and Contributes to Pathogenesis. The Journal of Immunology. 178(5). 3143–3152. 324 indexed citations
16.
Rosales‐Nieves, Alicia E., James E. Johndrow, Lani C. Keller, et al.. (2006). Coordination of microtubule and microfilament dynamics by Drosophila Rho1, Spire and Cappuccino. Nature Cell Biology. 8(4). 367–376. 117 indexed citations
17.
Machado, Fabiana S., James E. Johndrow, Lísia Esper, et al.. (2006). Anti-inflammatory actions of lipoxin A4 and aspirin-triggered lipoxin are SOCS-2 dependent. Nature Medicine. 12(3). 330–334. 253 indexed citations
18.
Johndrow, James E., et al.. (2006). Drosophila Rho-kinase (DRok) is required for tissue morphogenesis in diverse compartments of the egg chamber during oogenesis. Developmental Biology. 297(2). 417–432. 14 indexed citations
19.
Johndrow, James E., et al.. (2005). Allele-Specific Inhibitors of Protein Tyrosine Phosphatases. Journal of the American Chemical Society. 127(9). 2824–2825. 23 indexed citations
20.
Johndrow, James E., Craig R. Magie, & Susan M. Parkhurst. (2004). Rho GTPase function in flies: insights from a developmental and organismal perspective. Biochemistry and Cell Biology. 82(6). 643–657. 18 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lindsay N. Carpp Breakdown of academic impact, for papers by Thorsten Forster Breakdown of academic impact, for papers by Quentin Giai Gianetto Breakdown of academic impact, for papers by Fabien Crauste Breakdown of academic impact, for papers by Carolyn J.M. Best Breakdown of academic impact, for papers by Zhining Wang Breakdown of academic impact, for papers by Amir Foroushani Breakdown of academic impact, for papers by Sylviane Pied Breakdown of academic impact, for papers by Jason J. Stephany Breakdown of academic impact, for papers by L. E. Glynn
Rankless by CCL
2026