Nathan J. Bivens

1.8k total citations
40 papers, 1.3k citations indexed

About

Nathan J. Bivens is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Genetics. According to data from OpenAlex, Nathan J. Bivens has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Health, Toxicology and Mutagenesis and 6 papers in Genetics. Recurrent topics in Nathan J. Bivens's work include Gut microbiota and health (8 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Molecular Biology Techniques and Applications (6 papers). Nathan J. Bivens is often cited by papers focused on Gut microbiota and health (8 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Molecular Biology Techniques and Applications (6 papers). Nathan J. Bivens collaborates with scholars based in United States, United Kingdom and Luxembourg. Nathan J. Bivens's co-authors include William G. Spollen, Scott A. Givan, Cheryl S. Rosenfeld, Aaron C. Ericsson, Angela B. Javurek, Karen H. Bromert, Mark A. McIntosh, J. Wade Davis, Catherine E. Hagan and Craig L. Franklin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Nathan J. Bivens

38 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan J. Bivens United States 19 658 240 190 186 138 40 1.3k
Gabriele Brecchia Italy 30 368 0.6× 69 0.3× 177 0.9× 254 1.4× 217 1.6× 141 2.3k
Thorsten Diemer Germany 26 727 1.1× 155 0.6× 698 3.7× 345 1.9× 115 0.8× 75 3.1k
Jacob Bak Holm Denmark 20 697 1.1× 49 0.2× 224 1.2× 107 0.6× 467 3.4× 29 1.6k
Miki Sugimoto Japan 22 478 0.7× 140 0.6× 386 2.0× 207 1.1× 37 0.3× 80 1.3k
Carol S. Williams United States 18 219 0.3× 157 0.7× 104 0.5× 166 0.9× 88 0.6× 53 1000
Ana Monteiro United Kingdom 28 803 1.2× 218 0.9× 442 2.3× 450 2.4× 105 0.8× 51 2.3k
Gyanendra Singh India 24 514 0.8× 122 0.5× 194 1.0× 296 1.6× 261 1.9× 102 1.7k
Pradeep G. Kumar India 21 594 0.9× 96 0.4× 347 1.8× 238 1.3× 96 0.7× 154 1.8k
P. Martı́nez Spain 22 376 0.6× 63 0.3× 293 1.5× 94 0.5× 58 0.4× 71 1.5k
Thomas A. Randall United States 20 846 1.3× 69 0.3× 57 0.3× 117 0.6× 237 1.7× 39 1.6k

Countries citing papers authored by Nathan J. Bivens

Since Specialization
Citations

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

Fields of papers citing papers by Nathan J. Bivens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan J. Bivens. 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 Nathan J. Bivens. The network helps show where Nathan J. Bivens may publish in the future.

Co-authorship network of co-authors of Nathan J. Bivens

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan J. Bivens. A scholar is included among the top collaborators of Nathan J. Bivens 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 Nathan J. Bivens. Nathan J. Bivens 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.
Busi, Susheel Bhanu, Nathan J. Bivens, Daniel J. Davis, et al.. (2025). Fetal programming by the parental microbiome of offspring behavior, and DNA methylation and gene expression within the hippocampus. Microbiome. 13(1). 254–254.
2.
Gu, Weihong, et al.. (2025). Single-cell antigen receptor sequencing in pigs with influenza. Communications Biology. 8(1). 1108–1108.
3.
Busi, Susheel Bhanu, et al.. (2024). Multi-Omics Analysis of Mouse Fecal Microbiome Reveals Supplier-Dependent Functional Differences and Novel Metagenome-Assembled Genomes. SHILAP Revista de lepidopterología. 4(4). 1600–1615. 1 indexed citations
4.
Lyu, Zhen, et al.. (2024). Effects of oxycodone on placental lineages: Evidence from the transcriptome profile of mouse trophoblast giant cells. Proceedings of the National Academy of Sciences. 121(45). e2412349121–e2412349121. 3 indexed citations
5.
Skidmore, Zachary L., Hans Rindt, Shirley Chu, et al.. (2024). Single-cell T-cell receptor repertoire profiling in dogs. Communications Biology. 7(1). 484–484. 3 indexed citations
6.
Verma, Mohit, Toshihiko Ezashi, Nathan J. Bivens, et al.. (2024). Small and Long Non-Coding RNA Analysis for Human Trophoblast-Derived Extracellular Vesicles and Their Effect on the Transcriptome Profile of Human Neural Progenitor Cells. Cells. 13(22). 1867–1867. 3 indexed citations
7.
Seetharam, Arun S., Shrikesh Sachdev, Nathan J. Bivens, et al.. (2023). Extracellular vesicles from mouse trophoblast cells: Effects on neural progenitor cells and potential participants in the placenta–brain axis. Biology of Reproduction. 110(2). 310–328. 10 indexed citations
8.
Sierra, Maria A., Krista Ryon, Braden Tierney, et al.. (2022). Microbiome and metagenomic analysis of Lake Hillier Australia reveals pigment-rich polyextremophiles and wide-ranging metabolic adaptations. Environmental Microbiome. 17(1). 60–60. 9 indexed citations
9.
Seetharam, Arun S., Jie Zhou, Nathan J. Bivens, et al.. (2021). Single Nucleus RNA Sequence (snRNAseq) Analysis of the Spectrum of Trophoblast Lineages Generated From Human Pluripotent Stem Cells in vitro. Frontiers in Cell and Developmental Biology. 9. 695248–695248. 18 indexed citations
10.
Bivens, Nathan J., et al.. (2020). Influence of PCR cycle number on 16S rRNA gene amplicon sequencing of low biomass samples. Journal of Microbiological Methods. 176. 106033–106033. 24 indexed citations
11.
Kaur, Sarabjit, Saurav J. Sarma, Yang Liu, et al.. (2020). Developmental exposure of California mice to endocrine disrupting chemicals and potential effects on the microbiome-gut-brain axis at adulthood. Scientific Reports. 10(1). 10902–10902. 28 indexed citations
12.
Kaur, Sarabjit, Rachel E. Martin, Nathan J. Bivens, et al.. (2020). Disruption of global hypothalamic microRNA (miR) profiles and associated behavioral changes in California mice (Peromyscus californicus) developmentally exposed to endocrine disrupting chemicals. Hormones and Behavior. 128. 104890–104890. 20 indexed citations
13.
Mao, Jiude, Ashish Jain, Nancy D. Denslow, et al.. (2020). Bisphenol A and bisphenol S disruptions of the mouse placenta and potential effects on the placenta–brain axis. Proceedings of the National Academy of Sciences. 117(9). 4642–4652. 110 indexed citations
14.
15.
Ericsson, Aaron C., J. Wade Davis, William G. Spollen, et al.. (2015). Effects of Vendor and Genetic Background on the Composition of the Fecal Microbiota of Inbred Mice. PLoS ONE. 10(2). e0116704–e0116704. 239 indexed citations
16.
Givan, Scott A., et al.. (2015). Genome Sequences of Pseudoalteromonas Strains ATCC BAA-314, ATCC 70018, and ATCC 70019. Genome Announcements. 3(3). 4 indexed citations
17.
Shanker, Savita, Ariel Paulson, Howard J. Edenberg, et al.. (2015). Evaluation of Commercially Available RNA Amplification Kits for RNA Sequencing Using Very Low Input Amounts of Total RNA. Journal of Biomolecular Techniques JBT. 26(1). 4–18. 38 indexed citations
18.
Whitworth, Kristin M., Gordon K. Springer, Lawrence J. Forrester, et al.. (2004). Developmental Expression of 2489 Gene Clusters During Pig Embryogenesis: An Expressed Sequence Tag Project1. Biology of Reproduction. 71(4). 1230–1243. 49 indexed citations
19.
Jiang, Honglin, Kristin M. Whitworth, Nathan J. Bivens, et al.. (2004). Large-Scale Generation and Analysis of Expressed Sequence Tags from Porcine Ovary1. Biology of Reproduction. 71(6). 1991–2002. 18 indexed citations
20.

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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