Jordan Fish

6.2k total citations · 2 hit papers
8 papers, 4.3k citations indexed

About

Jordan Fish is a scholar working on Molecular Biology, Ecology and Astronomy and Astrophysics. According to data from OpenAlex, Jordan Fish has authored 8 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Ecology and 1 paper in Astronomy and Astrophysics. Recurrent topics in Jordan Fish's work include Microbial Community Ecology and Physiology (5 papers), Genomics and Phylogenetic Studies (5 papers) and Protist diversity and phylogeny (2 papers). Jordan Fish is often cited by papers focused on Microbial Community Ecology and Physiology (5 papers), Genomics and Phylogenetic Studies (5 papers) and Protist diversity and phylogeny (2 papers). Jordan Fish collaborates with scholars based in United States, South Korea and Brazil. Jordan Fish's co-authors include James M. Tiedje, James R. Cole, Yanni Sun, C. Titus Brown, Benli Chai, Qiong Wang, Andrea Porras‐Alfaro, Cheryl R. Kuske, Qiong Wang and Qiong Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Jordan Fish

8 papers receiving 4.2k citations

Hit Papers

Ribosomal Database Project: data and tools for high throu... 2013 2026 2017 2021 2013 2013 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jordan Fish United States 8 2.0k 1.7k 720 605 407 8 4.3k
Erick Cardenas United States 18 3.1k 1.6× 2.4k 1.5× 817 1.1× 901 1.5× 379 0.9× 28 6.4k
Woo Jun Sul South Korea 27 1.7k 0.9× 1.3k 0.8× 605 0.8× 1.0k 1.7× 339 0.8× 81 4.1k
Bernd Wemheuer Germany 32 1.9k 1.0× 1.9k 1.2× 652 0.9× 472 0.8× 367 0.9× 69 4.4k
Benjamin D. Kaehler Australia 9 2.3k 1.2× 1.3k 0.8× 685 1.0× 371 0.6× 267 0.7× 14 4.9k
Evan Bolyen United States 9 2.3k 1.2× 1.2k 0.7× 715 1.0× 383 0.6× 274 0.7× 12 4.8k
Matthew R. Dillon United States 6 2.5k 1.3× 1.4k 0.8× 738 1.0× 406 0.7× 283 0.7× 8 5.2k
Luiz Fernando Würdig Roesch Brazil 34 2.1k 1.1× 1.9k 1.1× 1.3k 1.9× 511 0.8× 923 2.3× 109 5.2k
Markus Bauer Austria 6 3.2k 1.6× 2.2k 1.3× 924 1.3× 776 1.3× 526 1.3× 9 6.9k
Alma E. Parada United States 14 2.0k 1.0× 2.8k 1.7× 594 0.8× 639 1.1× 308 0.8× 18 5.1k
Tom O. Delmont France 33 2.8k 1.5× 3.1k 1.8× 603 0.8× 574 0.9× 193 0.5× 52 5.2k

Countries citing papers authored by Jordan Fish

Since Specialization
Citations

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

Fields of papers citing papers by Jordan Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordan Fish

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

All Works

8 of 8 papers shown
1.
Chai, Benli, Tamara V. Tsoi, Shoko Iwai, et al.. (2016). Sphingomonas wittichii Strain RW1 Genome-Wide Gene Expression Shifts in Response to Dioxins and Clay. PLoS ONE. 11(6). e0157008–e0157008. 21 indexed citations
2.
Wang, Qiong, Jordan Fish, Yanni Sun, et al.. (2015). Xander: employing a novel method for efficient gene-targeted metagenomic assembly. Microbiome. 3(1). 32–32. 82 indexed citations
3.
O’Donnell, Daniel R., et al.. (2014). The Roles of Standing Genetic Variation and Evolutionary History in Determining the Evolvability of Anti-Predator Strategies. PLoS ONE. 9(6). e100163–e100163. 16 indexed citations
4.
Fish, Jordan, Benli Chai, Qiong Wang, et al.. (2013). FunGene: the functional gene pipeline and repository. Frontiers in Microbiology. 4. 291–291. 515 indexed citations breakdown →
5.
Cole, James R., Qiong Wang, Jordan Fish, et al.. (2013). Ribosomal Database Project: data and tools for high throughput rRNA analysis. Nucleic Acids Research. 42(D1). D633–D642. 3274 indexed citations breakdown →
6.
Wang, Qiong, John F. Quensen, Jordan Fish, et al.. (2013). Ecological Patterns of nifH Genes in Four Terrestrial Climatic Zones Explored with Targeted Metagenomics Using FrameBot, a New Informatics Tool. mBio. 4(5). e00592–13. 281 indexed citations
7.
Kortemeyer, Gerd, et al.. (2013). Seeing and Experiencing Relativity — A New Tool for Teaching?. The Physics Teacher. 51(8). 460–461. 8 indexed citations
8.
Sul, Woo Jun, James R. Cole, Ederson da Conceição Jesus, et al.. (2011). Bacterial community comparisons by taxonomy-supervised analysis independent of sequence alignment and clustering. Proceedings of the National Academy of Sciences. 108(35). 14637–14642. 73 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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