Michael Rosenblum

6.1k total citations
77 papers, 2.2k citations indexed

About

Michael Rosenblum is a scholar working on Statistics and Probability, Economics and Econometrics and Dermatology. According to data from OpenAlex, Michael Rosenblum has authored 77 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistics and Probability, 10 papers in Economics and Econometrics and 9 papers in Dermatology. Recurrent topics in Michael Rosenblum's work include Advanced Causal Inference Techniques (30 papers), Statistical Methods in Clinical Trials (23 papers) and Statistical Methods and Inference (16 papers). Michael Rosenblum is often cited by papers focused on Advanced Causal Inference Techniques (30 papers), Statistical Methods in Clinical Trials (23 papers) and Statistical Methods and Inference (16 papers). Michael Rosenblum collaborates with scholars based in United States, Iran and United Kingdom. Michael Rosenblum's co-authors include Niwa Ali, Mark J. van der Laan, Elizabeth Colantuoni, Mariela Pauli, Nicholas P. Jewell, Ariane van der Straten, Nancy Padian, Daniel F. Hanley, Bingkai Wang and Mark van der Laan and has published in prestigious journals such as The Lancet, Journal of the American Statistical Association and Biomaterials.

In The Last Decade

Michael Rosenblum

73 papers receiving 2.1k citations

Peers

Michael Rosenblum
Hwanhee Hong United States
Anne I. Goldman United States
Erica Brittain United States
Leslie Wilson United States
Sally Hunsberger United States
Edwin P. Rock United States
Hwanhee Hong United States
Michael Rosenblum
Citations per year, relative to Michael Rosenblum Michael Rosenblum (= 1×) peers Hwanhee Hong

Countries citing papers authored by Michael Rosenblum

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rosenblum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Rosenblum

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Rosenblum. A scholar is included among the top collaborators of Michael Rosenblum 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 Michael Rosenblum. Michael Rosenblum 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.
Gouirand, Victoire, Sean Clancy, J. W. F. Valle, et al.. (2025). Layilin regulates Treg motility and suppressive capacity in skin. eLife. 14.
2.
Susukida, Ryoko, Masoumeh Amin‐Esmaeili, Elena Badillo‐Goicoechea, et al.. (2024). Application of Causal Forest Model to Examine Treatment Effect Heterogeneity in Substance Use Disorder Psychosocial Treatments. International Journal of Methods in Psychiatric Research. 34(1). e70011–e70011.
3.
Mohs, Richard C., Sharon Rosenzweig‐Lipson, Michael Rosenblum, et al.. (2024). The HOPE4MCI study: A randomized double‐blind assessment of AGB101 for the treatment of MCI due to AD. Alzheimer s & Dementia Translational Research & Clinical Interventions. 10(1). e12446–e12446. 15 indexed citations
4.
Rosenblum, Michael, Elizabeth T. Chin, Elizabeth L. Ogburn, et al.. (2024). Misuse of statistical method results in highly biased interpretation of forensic evidence in. Law Probability and Risk. 23(1). 3 indexed citations
5.
Rosenblum, Michael, et al.. (2024). Methodological problems in every black-box study of forensic firearm comparisons. Law Probability and Risk. 23(1).
6.
Wang, Bingkai, Ryoko Susukida, Ramin Mojtabai, Masoumeh Amin‐Esmaeili, & Michael Rosenblum. (2021). Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Covariate Adjustment. Journal of the American Statistical Association. 118(542). 1152–1163. 28 indexed citations
7.
Benkeser, David, Iván Díaz, Alex Luedtke, et al.. (2020). Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes. Biometrics. 77(4). 1467–1481. 42 indexed citations
8.
Dunstan, Robert W., Viktor Todorović, Margaret M. Lowe, et al.. (2020). Histologic progression of acne inversa/hidradenitis suppurativa: Implications for future investigations and therapeutic intervention. Experimental Dermatology. 30(6). 820–830. 22 indexed citations
9.
Huang, Emily J., Ethan X. Fang, Daniel F. Hanley, & Michael Rosenblum. (2016). Inequality in treatment benefits: Can we determine if a new treatment benefits the many or the few?. Biostatistics. 18(2). kxw049–kxw049. 10 indexed citations
10.
Rosenblum, Michael, et al.. (2016). Multiple testing procedures for adaptive enrichment designs: combining group sequential and reallocation approaches. Biostatistics. 17(4). 650–662. 14 indexed citations
11.
Patil, Prasad, Elizabeth Colantuoni, Jeffrey T. Leek, & Michael Rosenblum. (2016). Genomic and clinical predictors for improving estimator precision in randomized trials of breast cancer treatments. Contemporary Clinical Trials Communications. 3. 48–54. 1 indexed citations
12.
Díaz, Iván & Michael Rosenblum. (2015). Targeted Maximum Likelihood Estimation using Exponential Families. The International Journal of Biostatistics. 11(2). 233–251. 3 indexed citations
13.
Broz, Miranda L., Mikhail Binnewies, Bijan Boldajipour, et al.. (2014). Dissecting the Tumor Myeloid Compartment Reveals Rare Activating Antigen-Presenting Cells Critical for T Cell Immunity. Cancer Cell. 26(6). 938–938. 114 indexed citations
14.
Rosenblum, Michael & Mark J. van der Laan. (2011). Optimizing randomized trial designs to distinguish which subpopulations benefit from treatment. Biometrika. 98(4). 845–860. 41 indexed citations
15.
Rosenblum, Michael, et al.. (2010). Targeted Maximum Likelihood Estimation of the Parameter of a Marginal Structural Model. The International Journal of Biostatistics. 6(2). Article 19–Article 19. 47 indexed citations
16.
Rosenblum, Michael, et al.. (2010). Simple, Efficient Estimators of Treatment Effects in Randomized Trials Using Generalized Linear Models to Leverage Baseline Variables. The International Journal of Biostatistics. 6(1). Article 13–Article 13. 54 indexed citations
17.
Rosenblum, Michael & Mark J. van der Laan. (2009). Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified Models. Biometrics. 65(3). 937–945. 41 indexed citations
18.
Rosenblum, Michael, Edit Olasz, Kim B. Yancey, et al.. (2004). Expression of CD200 on Epithelial Cells of the Murine Hair Follicle: A Role in Tissue-Specific Immune Tolerance?. Journal of Investigative Dermatology. 123(5). 880–887. 89 indexed citations
19.
Melichar, Bohuslav, Renato Lenzi, Michael Rosenblum, et al.. (2003). Intraperitoneal Fluid Neopterin, Nitrate, and Tryptophan After Regional Administration of Interleukin-12. Journal of Immunotherapy. 26(3). 270–276. 12 indexed citations
20.
Despotis, George J., J H Joist, Charles W. Hogue, et al.. (1995). The impact of heparin concentration and activated clotting time monitoring on blood conservation. Journal of Thoracic and Cardiovascular Surgery. 110(1). 46–54. 222 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.

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