Joshua J. Hamilton

1.7k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Joshua J. Hamilton is a scholar working on Molecular Biology, Ecology and Biomedical Engineering. According to data from OpenAlex, Joshua J. Hamilton has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Ecology and 4 papers in Biomedical Engineering. Recurrent topics in Joshua J. Hamilton's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Microbial Community Ecology and Physiology (6 papers) and Genomics and Phylogenetic Studies (5 papers). Joshua J. Hamilton is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Microbial Community Ecology and Physiology (6 papers) and Genomics and Phylogenetic Studies (5 papers). Joshua J. Hamilton collaborates with scholars based in United States, Sweden and Germany. Joshua J. Hamilton's co-authors include Katherine D. McMahon, Daniel R. Noguera, Christopher E. Lawson, Sha Wu, Ananda S. Bhattacharjee, Ramesh Goel, Jennifer L. Reed, Ophelia S. Venturelli, Matthew Scarborough and Timothy J. Donohue and has published in prestigious journals such as Nature Communications, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Joshua J. Hamilton

15 papers receiving 1.2k citations

Hit Papers

Metabolic network analysis reveals microbial community in... 2017 2026 2020 2023 2017 200 400 600
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.

  1. Metabolic network analysis reveals microbial community interactions in anammox granules
    2017 613 citations Christopher E. Lawson, Sha Wu et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua J. Hamilton United States 15 549 545 352 197 160 15 1.2k
Toshifumi Osaka Japan 12 334 0.6× 506 0.9× 217 0.6× 182 0.9× 42 0.3× 23 1.0k
Anuradha S. Nerurkar India 19 429 0.8× 681 1.2× 145 0.4× 120 0.6× 268 1.7× 35 1.3k
Abdul Majid Maszenan Singapore 20 512 0.9× 796 1.5× 439 1.2× 256 1.3× 106 0.7× 33 1.4k
Christine Yeates Australia 7 372 0.7× 441 0.8× 449 1.3× 186 0.9× 56 0.3× 9 993
Jannie Munk Kristensen Denmark 10 319 0.6× 458 0.8× 422 1.2× 139 0.7× 69 0.4× 15 884
Akiko Ohashi Japan 11 312 0.6× 242 0.4× 244 0.7× 111 0.6× 78 0.5× 25 920
Nobuo Araki Japan 21 216 0.4× 476 0.9× 285 0.8× 119 0.6× 76 0.5× 51 938
Manuel Martínez‐Luque Spain 15 309 0.6× 300 0.6× 320 0.9× 180 0.9× 53 0.3× 19 1.0k
Yunjie Ruan China 20 123 0.2× 732 1.3× 385 1.1× 179 0.9× 56 0.3× 45 1.3k
Shuai Du China 16 132 0.2× 266 0.5× 160 0.5× 80 0.4× 54 0.3× 53 804

Countries citing papers authored by Joshua J. Hamilton

Since Specialization
Citations

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

Fields of papers citing papers by Joshua J. Hamilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua J. Hamilton

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

All Works

15 of 15 papers shown
1.
Feng, Jun, Yili Qian, Zhichao Zhou, et al.. (2022). Polysaccharide utilization loci in Bacteroides determine population fitness and community-level interactions. Cell Host & Microbe. 30(2). 200–215.e12. 81 indexed citations
2.
Clark, Ryan L., David Stevenson, Susan Hromada, et al.. (2021). Design of synthetic human gut microbiome assembly and butyrate production. Nature Communications. 12(1). 3254–3254. 115 indexed citations
3.
Scarborough, Matthew, et al.. (2020). Diagnosing and Predicting Mixed-Culture Fermentations with Unicellular and Guild-Based Metabolic Models. mSystems. 5(5). 23 indexed citations
4.
Garcia, Sarahi L., Moritz Buck, Joshua J. Hamilton, et al.. (2018). Model Communities Hint at Promiscuous Metabolic Linkages between Ubiquitous Free-Living Freshwater Bacteria. mSphere. 3(3). 22 indexed citations
5.
Hamilton, Joshua J., David M. Stevenson, Shaomei He, et al.. (2018). acI Actinobacteria Assemble a Functional Actinorhodopsin with Natively Synthesized Retinal. Applied and Environmental Microbiology. 84(24). 16 indexed citations
6.
Rohwer, Robin R., Joshua J. Hamilton, Ryan J. Newton, & Katherine D. McMahon. (2018). TaxAss: Leveraging a Custom Freshwater Database Achieves Fine-Scale Taxonomic Resolution. mSphere. 3(5). 59 indexed citations
7.
Cao, Xinyun, Joshua J. Hamilton, & Ophelia S. Venturelli. (2018). Understanding and Engineering Distributed Biochemical Pathways in Microbial Communities. Biochemistry. 58(2). 94–107. 22 indexed citations
8.
Scarborough, Matthew, Christopher E. Lawson, Joshua J. Hamilton, Timothy J. Donohue, & Daniel R. Noguera. (2018). Metatranscriptomic and Thermodynamic Insights into Medium-Chain Fatty Acid Production Using an Anaerobic Microbiome. mSystems. 3(6). 77 indexed citations
9.
Hamilton, Joshua J., Sarahi L. Garcia, Ben O. Oyserman, et al.. (2017). Metabolic Network Analysis and Metatranscriptomics Reveal Auxotrophies and Nutrient Sources of the Cosmopolitan Freshwater Microbial Lineage acI. mSystems. 2(4). 20 indexed citations
10.
Lawson, Christopher E., Sha Wu, Ananda S. Bhattacharjee, et al.. (2017). Metabolic network analysis reveals microbial community interactions in anammox granules. Nature Communications. 8(1). 15416–15416. 613 indexed citations breakdown →
11.
Hamilton, Joshua J., et al.. (2015). Thermodynamics and H2 Transfer in a Methanogenic, Syntrophic Community. PLoS Computational Biology. 11(7). e1004364–e1004364. 23 indexed citations
12.
Hamilton, Joshua J., et al.. (2014). Genome –Scale Reconstruction of Metabolic Networks of Lactobacillus casei ATCC 334 and 12A. PLoS ONE. 9(11). e110785–e110785. 29 indexed citations
13.
Hamilton, Joshua J. & Jennifer L. Reed. (2013). Software platforms to facilitate reconstructing genome‐scale metabolic networks. Environmental Microbiology. 16(1). 49–59. 52 indexed citations
14.
Hamilton, Joshua J., et al.. (2013). Quantitative Assessment of Thermodynamic Constraints on the Solution Space of Genome-Scale Metabolic Models. Biophysical Journal. 105(2). 512–522. 37 indexed citations
15.
Hamilton, Joshua J. & Jennifer L. Reed. (2012). Identification of Functional Differences in Metabolic Networks Using Comparative Genomics and Constraint-Based Models. PLoS ONE. 7(4). e34670–e34670. 34 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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