Josh L. Espinoza

2.7k total citations
30 papers, 1.1k citations indexed

About

Josh L. Espinoza is a scholar working on Molecular Biology, Ecology and Periodontics. According to data from OpenAlex, Josh L. Espinoza has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Ecology and 4 papers in Periodontics. Recurrent topics in Josh L. Espinoza's work include Microbial Community Ecology and Physiology (8 papers), Genomics and Phylogenetic Studies (5 papers) and RNA Research and Splicing (5 papers). Josh L. Espinoza is often cited by papers focused on Microbial Community Ecology and Physiology (8 papers), Genomics and Phylogenetic Studies (5 papers) and RNA Research and Splicing (5 papers). Josh L. Espinoza collaborates with scholars based in United States, Australia and United Kingdom. Josh L. Espinoza's co-authors include Christopher L. Dupont, Miles Wilkinson, Eleen Y. Shum, Lulu Huang, William Nelson, Rachid Karam, Manolito Torralba, Michelle Bockmann, Jeffrey M. Craig and Toby Hughes and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Josh L. Espinoza

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Josh L. Espinoza United States 17 621 170 147 81 77 30 1.1k
Yuko Hasegawa Japan 15 498 0.8× 158 0.9× 98 0.7× 53 0.7× 46 0.6× 28 991
Dong‐Soon Kim South Korea 24 345 0.6× 119 0.7× 32 0.2× 110 1.4× 412 5.4× 130 1.7k
Nan Jiang China 20 407 0.7× 221 1.3× 76 0.5× 39 0.5× 344 4.5× 88 1.3k
Panpan Wang China 19 333 0.5× 123 0.7× 20 0.1× 218 2.7× 45 0.6× 62 1.0k
Monica Steffi Matchado India 10 337 0.5× 152 0.9× 27 0.2× 19 0.2× 63 0.8× 20 701
Maria José Correia Portugal 15 173 0.3× 56 0.3× 84 0.6× 25 0.3× 160 2.1× 69 706
Laura Lebrun Luxembourg 10 448 0.7× 245 1.4× 22 0.1× 42 0.5× 30 0.4× 15 680
Patrick Schwientek United States 21 1.2k 2.0× 1.1k 6.6× 51 0.3× 121 1.5× 200 2.6× 26 1.9k
Jörgen Östling Sweden 12 382 0.6× 163 1.0× 16 0.1× 103 1.3× 33 0.4× 20 681

Countries citing papers authored by Josh L. Espinoza

Since Specialization
Citations

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

Fields of papers citing papers by Josh L. Espinoza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josh L. Espinoza. 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 Josh L. Espinoza. The network helps show where Josh L. Espinoza may publish in the future.

Co-authorship network of co-authors of Josh L. Espinoza

This figure shows the co-authorship network connecting the top 25 collaborators of Josh L. Espinoza. A scholar is included among the top collaborators of Josh L. Espinoza 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 Josh L. Espinoza. Josh L. Espinoza 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.
Lozzi, Brittney, Josh L. Espinoza, Michael R. Padgen, et al.. (2025). Simulated microgravity triggers a membrane adaptation to stress in E. coli REL606. BMC Microbiology. 25(1). 362–362. 1 indexed citations
2.
Espinoza, Josh L., Saadoun Bin‐Hasan, Mohammad Alghounaim, et al.. (2024). Host–microbiome associations in saliva predict COVID-19 severity. PNAS Nexus. 3(4). pgae126–pgae126. 4 indexed citations
4.
Kumar, Manish, Juan D. Tibocha‐Bonilla, Zoltán Füssy, et al.. (2024). Mixotrophic growth of a ubiquitous marine diatom. Science Advances. 10(29). eado2623–eado2623. 6 indexed citations
5.
Gambogi, Craig W., David Brown, Josh L. Espinoza, et al.. (2024). Efficient formation of single-copy human artificial chromosomes. Science. 383(6689). 1344–1349. 14 indexed citations
6.
Nakatsuji, Teruaki, S. Brinton, Kellen Cavagnero, et al.. (2023). Competition between skin antimicrobial peptides and commensal bacteria in type 2 inflammation enables survival of S. aureus. Cell Reports. 42(5). 112494–112494. 25 indexed citations
7.
Garza, Erin, Vincent A. Bielinski, Josh L. Espinoza, et al.. (2023). Validating a Promoter Library for Application in Plasmid-Based Diatom Genetic Engineering. ACS Synthetic Biology. 12(11). 3215–3228. 7 indexed citations
8.
Badrane, Hassan, Shaoji Cheng, Christopher L. Dupont, et al.. (2023). Genotypic diversity and unrecognized antifungal resistance among populations of Candida glabrata from positive blood cultures. Nature Communications. 14(1). 5918–5918. 25 indexed citations
9.
Espinoza, Josh L. & Christopher L. Dupont. (2022). VEBA: a modular end-to-end suite for in silico recovery, clustering, and analysis of prokaryotic, microeukaryotic, and viral genomes from metagenomes. BMC Bioinformatics. 23(1). 419–419. 14 indexed citations
10.
Nabwera, Helen, Josh L. Espinoza, Archibald Worwui, et al.. (2021). Interactions between fecal gut microbiome, enteric pathogens, and energy regulating hormones among acutely malnourished rural Gambian children. EBioMedicine. 73. 103644–103644. 18 indexed citations
11.
Espinoza, Josh L., Christopher L. Dupont, Aubrie O’Rourke, et al.. (2021). Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach. PLoS Computational Biology. 17(3). e1008857–e1008857. 20 indexed citations
12.
Espinoza, Josh L., Naisha Shah, Suren Singh, William Nelson, & Christopher L. Dupont. (2020). Applications of weighted association networks applied to compositional data in biology. Environmental Microbiology. 22(8). 3020–3038. 15 indexed citations
13.
O’Rourke, Aubrie, Sinem Beyhan, Yongwook Choi, et al.. (2020). Mechanism-of-Action Classification of Antibiotics by Global Transcriptome Profiling. Antimicrobial Agents and Chemotherapy. 64(3). 77 indexed citations
14.
Michaud, Jennifer M., Luke Thompson, Drishti Kaul, et al.. (2018). Taxon-specific aerosolization of bacteria and viruses in an experimental ocean-atmosphere mesocosm. Nature Communications. 9(1). 2017–2017. 117 indexed citations
15.
Weiss, Howard M., Vicki Hertzberg, Christopher L. Dupont, et al.. (2018). The Airplane Cabin Microbiome. Microbial Ecology. 77(1). 87–95. 19 indexed citations
16.
Diner, Rachel E., Chari M. Noddings, Jeffrey B. McQuaid, et al.. (2017). Diatom centromeres suggest a mechanism for nuclear DNA acquisition. Proceedings of the National Academy of Sciences. 114(29). E6015–E6024. 43 indexed citations
17.
Huang, Lulu, Eleen Y. Shum, Steven Jones, et al.. (2017). A Upf3b-mutant mouse model with behavioral and neurogenesis defects. Molecular Psychiatry. 23(8). 1773–1786. 53 indexed citations
18.
Shum, Eleen Y., Jennifer N. Chousal, Wai-Kin Chan, et al.. (2016). The Antagonistic Gene Paralogs Upf3a and Upf3b Govern Nonsense-Mediated RNA Decay. Cell. 165(2). 382–395. 122 indexed citations
19.
Shum, Eleen Y., Josh L. Espinoza, Madhuvanthi Ramaiah, & Miles Wilkinson. (2015). Identification of novel post-transcriptional features in olfactory receptor family mRNAs. Nucleic Acids Research. 43(19). 9314–9326. 22 indexed citations
20.
Shum, Eleen Y., et al.. (2014). Posttranscriptional Control of the Stem Cell and Neurogenic Programs by the Nonsense-Mediated RNA Decay Pathway. Cell Reports. 6(4). 748–764. 128 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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