Derek Reiman

472 total citations
17 papers, 251 citations indexed

About

Derek Reiman is a scholar working on Molecular Biology, Immunology and Artificial Intelligence. According to data from OpenAlex, Derek Reiman has authored 17 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Artificial Intelligence. Recurrent topics in Derek Reiman's work include Gut microbiota and health (9 papers), T-cell and B-cell Immunology (4 papers) and Machine Learning in Healthcare (3 papers). Derek Reiman is often cited by papers focused on Gut microbiota and health (9 papers), T-cell and B-cell Immunology (4 papers) and Machine Learning in Healthcare (3 papers). Derek Reiman collaborates with scholars based in United States, Norway and Denmark. Derek Reiman's co-authors include Yang Dai, Ahmed A. Metwally, Brian T. Layden, Jun Sun, Philip S. Yu, Patricia W. Finn, David L. Perkins, Aly A. Khan, Alexander V. Chervonsky and Ravinder K. Gill and has published in prestigious journals such as Nature Communications, Gastroenterology and Immunological Reviews.

In The Last Decade

Derek Reiman

16 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Derek Reiman United States 9 179 35 22 21 19 17 251
Qian Xiao China 10 78 0.4× 38 1.1× 22 1.0× 22 1.0× 35 1.8× 24 323
Magali Berland France 9 153 0.9× 14 0.4× 13 0.6× 9 0.4× 16 0.8× 13 216
Pieter-Jan Van Camp United States 4 146 0.8× 11 0.3× 35 1.6× 13 0.6× 12 0.6× 10 288
М. В. Самсонова Russia 12 172 1.0× 19 0.5× 13 0.6× 21 1.0× 41 2.2× 54 437
Alexander Liu United States 8 166 0.9× 29 0.8× 33 1.5× 20 1.0× 30 1.6× 17 324
Meng Shen China 6 135 0.8× 27 0.8× 7 0.3× 55 2.6× 12 0.6× 18 229
George Armstrong United States 8 106 0.6× 14 0.4× 17 0.8× 8 0.4× 16 0.8× 14 232
Menghua Wu China 8 52 0.3× 24 0.7× 7 0.3× 22 1.0× 45 2.4× 35 195
Mahmoud Dahdouli United States 5 145 0.8× 13 0.4× 10 0.5× 10 0.5× 60 3.2× 6 246

Countries citing papers authored by Derek Reiman

Since Specialization
Citations

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

Fields of papers citing papers by Derek Reiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derek Reiman

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

All Works

17 of 17 papers shown
1.
Lee, Jean, Leonid Yurkovetskiy, Derek Reiman, et al.. (2024). Androgens contribute to sex bias of autoimmunity in mice by T cell-intrinsic regulation of Ptpn22 phosphatase expression. Nature Communications. 15(1). 7688–7688. 2 indexed citations
2.
Lee, Jean, Derek Reiman, Samara P. Singh, et al.. (2024). Microbial influences on severity and sex bias of systemic autoimmunity. Immunological Reviews. 325(1). 64–76. 2 indexed citations
3.
Reiman, Derek, et al.. (2024). Isotype-aware inference of B cell clonal lineage trees from single-cell sequencing data. Cell Genomics. 4(9). 100637–100637.
4.
Mallott, Elizabeth K., Won Lee, Derek Reiman, et al.. (2024). The primate gut microbiota contributes to interspecific differences in host metabolism. Microbial Genomics. 10(12). 2 indexed citations
5.
Yurkovetskiy, Leonid, Andrey Kuznetsov, Derek Reiman, et al.. (2023). Microbiota-dependent proteolysis of gluten subverts diet-mediated protection against type 1 diabetes. Cell Host & Microbe. 31(2). 213–227.e9. 10 indexed citations
6.
Reiman, Derek, et al.. (2022). In Vivo Genome-Wide PGR Binding in Pregnant Human Myometrium Identifies Potential Regulators of Labor. Reproductive Sciences. 30(2). 544–559. 9 indexed citations
7.
Priyadarshini, Medha, Guadalupe Navarro, Derek Reiman, et al.. (2022). Gestational Insulin Resistance Is Mediated by the Gut Microbiome–Indoleamine 2,3-Dioxygenase Axis. Gastroenterology. 162(6). 1675–1689.e11. 23 indexed citations
8.
Reiman, Derek, Brian T. Layden, & Yang Dai. (2021). MiMeNet: Exploring microbiome-metabolome relationships using neural networks. PLoS Computational Biology. 17(5). e1009021–e1009021. 48 indexed citations
9.
Reiman, Derek, Godhev K. Manakkat Vijay, Heping Xu, et al.. (2021). Pseudocell Tracer—A method for inferring dynamic trajectories using scRNAseq and its application to B cells undergoing immunoglobulin class switch recombination. PLoS Computational Biology. 17(5). e1008094–e1008094. 7 indexed citations
10.
11.
Reiman, Derek, Ahmed A. Metwally, Jun Sun, & Yang Dai. (2020). PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic Data. IEEE Journal of Biomedical and Health Informatics. 24(10). 2993–3001. 57 indexed citations
12.
Reiman, Derek, et al.. (2020). Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach. Methods in molecular biology. 2190. 249–266. 7 indexed citations
13.
14.
Metwally, Ahmed A., Philip S. Yu, Derek Reiman, et al.. (2019). Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks. PLoS Computational Biology. 15(2). e1006693–e1006693. 32 indexed citations
15.
Reiman, Derek & Yang Dai. (2019). Using Autoencoders for Predicting Latent Microbiome Community Shifts Responding to Dietary Changes. 1884–1891. 10 indexed citations
16.
Reiman, Derek, et al.. (2018). Integrating RNA expression and visual features for immune infiltrate prediction. PubMed. 24. 284–295. 8 indexed citations
17.
Reiman, Derek, Ahmed A. Metwally, & Yang Dai. (2017). Using convolutional neural networks to explore the microbiome. PubMed. 2017. 4269–4272. 28 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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