Justin D. Silverman

6.3k total citations · 1 hit paper
34 papers, 1.7k citations indexed

About

Justin D. Silverman is a scholar working on Molecular Biology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Justin D. Silverman has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 5 papers in Infectious Diseases and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Justin D. Silverman's work include Gut microbiota and health (16 papers), Gene expression and cancer classification (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Justin D. Silverman is often cited by papers focused on Gut microbiota and health (16 papers), Gene expression and cancer classification (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Justin D. Silverman collaborates with scholars based in United States, Canada and United Kingdom. Justin D. Silverman's co-authors include Lawrence A. David, Alex Washburne, Sayan Mukherjee, James T. Morton, Karsten Zengler, Clarisse Marotz, Anna Edlund, Rob Knight, Lívia S. Zaramela and Heather K. Durand and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Justin D. Silverman

30 papers receiving 1.7k 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.

Establishing microbial composition measurement standards with reference frames

2019 392 citations James T. Morton, Justin D. Silverman et al. Nature Communications profile →

Peers

Justin D. Silverman

PHYSI

EPIDE

ECOLO

Shyamal Peddada United States

Lin Huang China

Zachary Kurtz United States

Siddhartha Mandal India

Cameron Martino United States

Ahmed A. Metwally Egypt

Keith Harris United States

Lingjing Jiang United States

Himel Mallick United States

Emma Schwager United States

Shyamal Peddada United States

Justin D. Silverman

1.0k ×0.9

253 ×0.9

PHYSI

188 ×0.7

EPIDE

266 ×1.2

ECOLO

196 ×0.9

Citations per year, relative to Justin D. Silverman Justin D. Silverman (= 1×) peers Shyamal Peddada

Countries citing papers authored by Justin D. Silverman

Since Specialization

Citations

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

Fields of papers citing papers by Justin D. Silverman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin D. Silverman. 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 Justin D. Silverman. The network helps show where Justin D. Silverman may publish in the future.

Co-authorship network of co-authors of Justin D. Silverman

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

All Works

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20 of 20 papers shown

Jones, Matthew J., Shirley E. Clark, Heather E. Preisendanz, et al.. (2025). Wastewater surveillance of SARS-CoV-2 and influenza in a dynamic university community: understanding how wastewater measurements correspond to reported cases. The Science of The Total Environment. 1000. 180377–180377.

Gloor, Gregory B., et al.. (2025). Incorporating scale uncertainty in microbiome and gene expression analysis as an extension of normalization. Genome biology. 26(1). 139–139. 2 indexed citations

Manjila, Steffy B., Yuan-Ting Wu, Hyun-Jae Pi, et al.. (2025). Brain-wide connectivity and novelty response of the dorsal endopiriform nucleus in mice. Cell Reports. 44(7). 115827–115827.

Silverman, Justin D., et al.. (2025). Replacing normalizations with interval assumptions enhances differential expression and differential abundance analyses. BMC Bioinformatics. 26(1). 164–164.

Bas, S., et al.. (2024). Use of intrauterine dextrose as an alternative to systemic antibiotics for treatment of clinical metritis in dairy cattle: a microbiome perspective. Frontiers in Veterinary Science. 11. 1478288–1478288. 2 indexed citations

Dini‐Andreote, Francisco, et al.. (2024). Investigating antibiotic free feed additives for growth promotion in poultry: effects on performance and microbiota. Poultry Science. 103(5). 103604–103604. 17 indexed citations

Silverman, Justin D., Yuhong Luo, Frank J. Gonzalez, et al.. (2024). Changes in the type 2 diabetes gut mycobiome associate with metformin treatment across populations. mBio. 15(6). e0016924–e0016924. 3 indexed citations

Smith, Claire, et al.. (2024). From pre-test and post-test probabilities to medical decision making. BMC Medical Informatics and Decision Making. 24(1). 210–210.

Silverman, Justin D., et al.. (2023). Addressing erroneous scale assumptions in microbe and gene set enrichment analysis. PLoS Computational Biology. 19(11). e1011659–e1011659. 5 indexed citations

10.

Griffin, Christopher, et al.. (2023). Race, employment, and the pandemic: An exploration of covariate explanations of COVID-19 case fatality rate variance. PLoS ONE. 18(2). e0274470–e0274470. 2 indexed citations

11.

Holmes, Zachary C., Max M. Villa, Heather K. Durand, et al.. (2022). Microbiota responses to different prebiotics are conserved within individuals and associated with habitual fiber intake. Microbiome. 10(1). 114–114. 97 indexed citations

12.

Zhu, Kevin, Shawn D. Burton, Justin D. Silverman, et al.. (2022). Decoding the olfactory map through targeted transcriptomics links murine olfactory receptors to glomeruli. Nature Communications. 13(1). 5137–5137. 13 indexed citations

13.

Pereira, Pedro A. B., Drupad K. Trivedi, Justin D. Silverman, et al.. (2022). Multiomics implicate gut microbiota in altered lipid and energy metabolism in Parkinson’s disease. npj Parkinson s Disease. 8(1). 39–39. 25 indexed citations

14.

Rogers, Connie J., et al.. (2022). Metformin modulates the gut microbiome in broiler breeder hens. Frontiers in Physiology. 13. 1000144–1000144. 3 indexed citations

15.

Silverman, Justin D., Sharon Jiang, Heather K. Durand, et al.. (2021). Measuring and mitigating PCR bias in microbiota datasets. PLoS Computational Biology. 17(7). e1009113–e1009113. 62 indexed citations

16.

Silverman, Justin D., Kimberly Roche, Sayan Mukherjee, & Lawrence A. David. (2020). Naught all zeros in sequence count data are the same. Computational and Structural Biotechnology Journal. 18. 2789–2798. 79 indexed citations

17.

Shenhav, Liat, Ori Furman, Leah Briscoe, et al.. (2019). Modeling the temporal dynamics of the gut microbial community in adults and infants. PLoS Computational Biology. 15(6). e1006960–e1006960. 37 indexed citations

18.

Washburne, Alex D., Justin D. Silverman, James T. Morton, et al.. (2019). Phylofactorization: a graph partitioning algorithm to identify phylogenetic scales of ecological data. Ecological Monographs. 89(2). 42 indexed citations

19.

Silverman, Justin D., et al.. (2018). Dynamic linear models guide design and analysis of microbiota studies within artificial human guts. Microbiome. 6(1). 202–202. 55 indexed citations

20.

Satwani, Prakash, Jason L. Freedman, Sonali Chaudhury, et al.. (2017). A Multicenter Study of Bacterial Blood Stream Infections in Pediatric Allogeneic Hematopoietic Cell Transplantation Recipients: The Role of Acute Gastrointestinal Graft-versus-Host Disease. Biology of Blood and Marrow Transplantation. 23(4). 642–647. 29 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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