Andrew Tritt

2.6k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Andrew Tritt is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Andrew Tritt has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Plant Science and 4 papers in Ecology. Recurrent topics in Andrew Tritt's work include Genomics and Phylogenetic Studies (6 papers), Mycorrhizal Fungi and Plant Interactions (5 papers) and Fungal Biology and Applications (3 papers). Andrew Tritt is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Mycorrhizal Fungi and Plant Interactions (5 papers) and Fungal Biology and Applications (3 papers). Andrew Tritt collaborates with scholars based in United States, Netherlands and Germany. Andrew Tritt's co-authors include Aaron E. Darling, Jonathan A. Eisen, Marc T. Facciotti, Antônio Pedro Camargo, Simon Roux, Bas E. Dutilh, Shareef M. Dabdoub, Stephen Nayfach, Felipe H. Coutinho and Anna Lipzen and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Andrew Tritt

19 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria

2023 182 citations Simon Roux, Antônio Pedro Camargo et al. PLoS Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Tritt United States	10	534	384	342	145	102	20	1.1k
Matteo Brilli Italy	26	940 1.8×	417 1.1×	500 1.5×	89 0.6×	143 1.4×	64	1.8k
Marcus Lechner Germany	15	974 1.8×	406 1.1×	271 0.8×	42 0.3×	80 0.8×	32	1.4k
Richard McVeigh United States	7	912 1.7×	347 0.9×	224 0.7×	57 0.4×	48 0.5×	8	1.4k
Yu-Chieh Liao Taiwan	19	792 1.5×	250 0.7×	131 0.4×	56 0.4×	99 1.0×	65	1.2k
Emily K. Herman Canada	12	758 1.4×	347 0.9×	195 0.6×	30 0.2×	141 1.4×	22	1.4k
Oliver Keller United States	11	586 1.1×	190 0.5×	277 0.8×	45 0.3×	45 0.4×	40	995
Ming Zou China	24	491 0.9×	125 0.3×	222 0.6×	57 0.4×	146 1.4×	81	1.4k
Reed M. Stubbendieck United States	11	381 0.7×	159 0.4×	99 0.3×	83 0.6×	100 1.0×	22	697
Cosima Pelludat Switzerland	16	278 0.5×	191 0.5×	300 0.9×	54 0.4×	118 1.2×	28	797
Alex Lukashin United States	2	818 1.5×	372 1.0×	300 0.9×	40 0.3×	58 0.6×	2	1.2k

Countries citing papers authored by Andrew Tritt

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Tritt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Tritt

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Lee Joon, et al.. (2024). Simple Scattering: Lipid nanoparticle structural data repository. Frontiers in Molecular Biosciences. 11. 1321364–1321364. 2 indexed citations

Gelembiuk, Gregory, et al.. (2024). The Genome Architecture of the Copepod Eurytemora carolleeae — the Highly Invasive Atlantic Clade of the Eurytemora affinis Species Complex. Genomics Proteomics & Bioinformatics. 22(5).

Joachimiak, Marcin P., Mark A. Miller, J. Harry Caufield, et al.. (2024). The Artificial Intelligence Ontology: LLM-Assisted Construction of AI Concept Hierarchies. Applied Ontology. 19(4). 408–418. 1 indexed citations

Tritt, Andrew, John K. Yue, Adam R. Ferguson, et al.. (2023). Data-driven distillation and precision prognosis in traumatic brain injury with interpretable machine learning. Scientific Reports. 13(1). 21200–21200. 3 indexed citations

Tritt, Andrew, et al.. (2023). DL-TODA: A Deep Learning Tool for Omics Data Analysis. Biomolecules. 13(4). 585–585. 6 indexed citations

Roux, Simon, Antônio Pedro Camargo, Felipe H. Coutinho, et al.. (2023). iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria. PLoS Biology. 21(4). e3002083–e3002083. 182 indexed citations breakdown →

Balewski, J., Daan Camps, Katherine Klymko, & Andrew Tritt. (2023). Efficient Quantum Counting and Quantum Content-Addressable Memory for DNA Similarity. eScholarship (California Digital Library). 378–384. 2 indexed citations

Quijada, Jessica, Kayla Smith, T.A. Gipson, et al.. (2022). Transcript and blood-microbiome analysis towards a blood diagnostic tool for goats affected by Haemonchus contortus. Scientific Reports. 12(1). 5362–5362. 8 indexed citations

Rübel, Oliver, Andrew Tritt, Ryan Ly, et al.. (2022). The Neurodata Without Borders ecosystem for neurophysiological data science. eLife. 11. 48 indexed citations

10.

Barry, Kerrie, Akiko Carver, Chris Daum, et al.. (2022). The Transcription Factor Roc1 Is a Key Regulator of Cellulose Degradation in the Wood-Decaying Mushroom Schizophyllum commune. mBio. 13(3). e0062822–e0062822. 26 indexed citations

11.

Livezey, Jesse A., et al.. (2019). PyUoI: The Union of Intersections Framework in Python. The Journal of Open Source Software. 4(44). 1799–1799. 3 indexed citations

12.

Tritt, Andrew, Oliver Rübel, Ben Dichter, et al.. (2019). HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. PubMed. 2019. 165–179. 3 indexed citations

13.

Mujic, Alija B., Alan Kuo, Andrew Tritt, et al.. (2017). Comparative Genomics of the Ectomycorrhizal Sister Species Rhizopogon vinicolor and Rhizopogon vesiculosus (Basidiomycota: Boletales) Reveals a Divergence of the Mating Type B Locus. G3 Genes Genomes Genetics. 7(6). 1775–1789. 13 indexed citations

14.

Floudas, Dimitrios, Benjamin W. Held, Robert Riley, et al.. (2015). Evolution of novel wood decay mechanisms in Agaricales revealed by the genome sequences of Fistulina hepatica and Cylindrobasidium torrendii. Fungal Genetics and Biology. 76. 78–92. 116 indexed citations

15.

Muraguchi, Hajime, Kiwamu Umezawa, Makoto Yoshida, et al.. (2015). Strand-Specific RNA-Seq Analyses of Fruiting Body Development in Coprinopsis cinerea. PLoS ONE. 10(10). e0141586–e0141586. 80 indexed citations

16.

Tritt, Andrew, David Larsen, Andrew I. Yao, et al.. (2014). Phylogenetically Driven Sequencing of Extremely Halophilic Archaea Reveals Strategies for Static and Dynamic Osmo-response. PLoS Genetics. 10(11). e1004784–e1004784. 112 indexed citations

17.

Toome, Merje, Alan Kuo, Bernard Henrissat, et al.. (2014). Draft Genome Sequence of a Rare Smut Relative, Tilletiaria anomala UBC 951. Genome Announcements. 2(3). 8 indexed citations

18.

Tritt, Andrew, Jonathan A. Eisen, Marc T. Facciotti, & Aaron E. Darling. (2012). An Integrated Pipeline for de Novo Assembly of Microbial Genomes. PLoS ONE. 7(9). e42304–e42304. 349 indexed citations

19.

Darling, Aaron E., Andrew Tritt, Jonathan A. Eisen, & Marc T. Facciotti. (2011). Mauve Assembly Metrics. Bioinformatics. 27(19). 2756–2757. 84 indexed citations

20.

Dufour, Y., G.E. Wesenberg, Andrew Tritt, et al.. (2010). chipD: a web tool to design oligonucleotide probes for high-density tiling arrays. Nucleic Acids Research. 38(Web Server). W321–W325. 19 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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