Joe Marion

829 total citations · 1 hit paper
4 papers, 181 citations indexed

About

Joe Marion is a scholar working on Statistics and Probability, Infectious Diseases and Surgery. According to data from OpenAlex, Joe Marion has authored 4 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Statistics and Probability, 1 paper in Infectious Diseases and 1 paper in Surgery. Recurrent topics in Joe Marion's work include Markov Chains and Monte Carlo Methods (1 paper), Statistical Methods and Inference (1 paper) and Meta-analysis and systematic reviews (1 paper). Joe Marion is often cited by papers focused on Markov Chains and Monte Carlo Methods (1 paper), Statistical Methods and Inference (1 paper) and Meta-analysis and systematic reviews (1 paper). Joe Marion collaborates with scholars based in United States and Canada. Joe Marion's co-authors include Sahil Khanna, Paul Feuerstadt, Scott Berry, Gary P. Wang, Xin Su, Thomas Louie, W Knapple, Maha Assi, Humberto Aguilar and Julia Garcia‐Diaz and has published in prestigious journals such as Statistics in Medicine, The Annals of Statistics and Drugs.

In The Last Decade

Joe Marion

3 papers receiving 179 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Efficacy and Safety of RBX2660 in PUNCH CD3, a Phase III, Randomized, Double-Blind, Placebo-Controlled Trial with a Bayesian Primary Analysis for the Prevention of Recurrent Clostridioides difficile Infection

2022 179 citations Sahil Khanna, Maha Assi et al. Drugs profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joe Marion United States	2	153	83	76	62	21	4	181
Marie Hocquart France	6	139 0.9×	90 1.1×	98 1.3×	61 1.0×	39 1.9×	6	196
Sashidhar Sagi United States	4	198 1.3×	134 1.6×	77 1.0×	78 1.3×	80 3.8×	6	233
Bradley A. Schmidt United States	3	156 1.0×	80 1.0×	195 2.6×	97 1.6×	39 1.9×	6	282
Victoria McCune United Kingdom	5	277 1.8×	130 1.6×	195 2.6×	122 2.0×	84 4.0×	5	345
Andrew Swale United Kingdom	5	146 1.0×	104 1.3×	23 0.3×	15 0.2×	34 1.6×	5	167
Grace O. Androga Australia	9	278 1.8×	127 1.5×	84 1.1×	17 0.3×	58 2.8×	11	306
Jonathan Hurtado United States	4	99 0.6×	59 0.7×	210 2.8×	69 1.1×	44 2.1×	10	281
Lindsay Potts United Kingdom	5	86 0.6×	75 0.9×	51 0.7×	42 0.7×	35 1.7×	5	191
Korakrit Imwattana Australia	11	277 1.8×	103 1.2×	75 1.0×	11 0.2×	81 3.9×	21	297
Taryn A Eubank United States	6	76 0.5×	44 0.5×	23 0.3×	15 0.2×	21 1.0×	17	119

Countries citing papers authored by Joe Marion

Since Specialization

Citations

This map shows the geographic impact of Joe Marion'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 Joe Marion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe Marion more than expected).

Fields of papers citing papers by Joe Marion

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joe Marion. 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 Joe Marion. The network helps show where Joe Marion may publish in the future.

Co-authorship network of co-authors of Joe Marion

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

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Marion, Joe, et al.. (2025). Predictive Probabilities Made Simple: A Fast and Accurate Method for Clinical Trial Decision‐Making. Statistics in Medicine. 44(13-14). e70120–e70120.

2.

Marion, Joe, et al.. (2023). Finite-sample complexity of sequential Monte Carlo estimators. The Annals of Statistics. 51(3). 1 indexed citations

3.

Khanna, Sahil, Maha Assi, Christine Lee, et al.. (2022). Efficacy and Safety of RBX2660 in PUNCH CD3, a Phase III, Randomized, Double-Blind, Placebo-Controlled Trial with a Bayesian Primary Analysis for the Prevention of Recurrent Clostridioides difficile Infection. Drugs. 82(15). 1527–1538. 179 indexed citations breakdown →

4.

Marion, Joe, Juan Manuel García‐Ruiz, & Benjamin R. Saville. (2022). Bayesian model of disease progression in mucopolysaccaridosis IIIA. Statistics in Medicine. 41(18). 3579–3595. 1 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