José A. Navas-Molina

35.1k total citations · 4 hit papers
13 papers, 3.1k citations indexed

About

José A. Navas-Molina is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, José A. Navas-Molina has authored 13 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Ecology and 3 papers in Genetics. Recurrent topics in José A. Navas-Molina's work include Gut microbiota and health (11 papers), Microbial Community Ecology and Physiology (7 papers) and Genomics and Phylogenetic Studies (5 papers). José A. Navas-Molina is often cited by papers focused on Gut microbiota and health (11 papers), Microbial Community Ecology and Physiology (7 papers) and Genomics and Phylogenetic Studies (5 papers). José A. Navas-Molina collaborates with scholars based in United States, China and Czechia. José A. Navas-Molina's co-authors include Rob Knight, Daniel McDonald, Zhenjiang Zech Xu, Embriette R. Hyde, Antonio González, Evguenia Kopylova, Amnon Amir, Luke Thompson, James T. Morton and J. Gregory Caporaso and has published in prestigious journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Cell Host & Microbe and FEMS Microbiology Ecology.

In The Last Decade

José A. Navas-Molina

13 papers receiving 3.1k 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.

Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns

2017 1.3k citations Amnon Amir, Daniel McDonald et al. mSystems profile →
Advancing Our Understanding of the Human Microbiome Using QIIME

2013 441 citations José A. Navas-Molina, Juan Manuel Peralta‐Sánchez et al. Methods in enzymology on CD-ROM/Methods in enzymology profile →
Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences

2014 421 citations Jai Ram Rideout, Yan He et al. PeerJ profile →
Phylogenetic Placement of Exact Amplicon Sequences Improves Associations with Clinical Information

2018 356 citations Stefan Janssen, Daniel McDonald et al. mSystems profile →

Peers

Countries citing papers authored by José A. Navas-Molina

Since Specialization

Citations

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

Fields of papers citing papers by José A. Navas-Molina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José A. Navas-Molina. 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 José A. Navas-Molina. The network helps show where José A. Navas-Molina may publish in the future.

Co-authorship network of co-authors of José A. Navas-Molina

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Bacterial density rather than diversity correlates with hatching success across different avian species 2018 ·FEMS Microbiology Ecology ·Juan Manuel Peralta‐Sánchez, Antonio M. Martín‐Platero, (unknown), Manuel Martínez‐Bueno, Sonia M. Rodríguez‐Ruano, José A. Navas-Molina, Yoshiki Vázquez‐Baeza, David Martín‐Gálvez, Manuel Martín‐Vivaldi, Juan Diego Ibáñez‐Álamo, Rob Knight, Juan José Soler	25
2	Phylogenetic Placement of Exact Amplicon Sequences Improves Associations with Clinical Information breakdown → 2018 ·mSystems ·Stefan Janssen, Daniel McDonald, Antonio González, José A. Navas-Molina, Lingjing Jiang, Zhenjiang Zech Xu, Kevin Winker, Deborah M. Kado, Eric Orwoll, Mark Manary, Siavash Mirarab, Rob Knight	356
3	The microbiome and big data 2017 ·Current Opinion in Systems Biology ·José A. Navas-Molina, Embriette R. Hyde, Jon G. Sanders, Rob Knight	11
4	Bringing the Dynamic Microbiome to Life with Animations 2017 ·Cell Host & Microbe ·Yoshiki Vázquez‐Baeza, Antonio González-Torres, Larry Smarr, Daniel McDonald, James T. Morton, José A. Navas-Molina, Rob Knight	65
5	Correcting for Microbial Blooms in Fecal Samples during Room-Temperature Shipping 2017 ·mSystems ·Amnon Amir, Daniel McDonald, José A. Navas-Molina, Justine W. Debelius, James T. Morton, Embriette R. Hyde, Adam Robbins‐Pianka, Rob Knight	73
6	Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns breakdown → 2017 ·mSystems ·Amnon Amir, Daniel McDonald, José A. Navas-Molina, Evguenia Kopylova, James T. Morton, Zhenjiang Zech Xu, (unknown), Luke Thompson, Embriette R. Hyde, Antonio González, Rob Knight	1292
7	Balance Trees Reveal Microbial Niche Differentiation 2017 ·mSystems ·James T. Morton, Jon G. Sanders, Robert A. Quinn, Daniel McDonald, Antonio González, Yoshiki Vázquez‐Baeza, José A. Navas-Molina, Se Jin Song, Jessica L. Metcalf, Embriette R. Hyde, Manuel E. Lladser, Pieter C. Dorrestein, Rob Knight	188
8	From Sample to Multi-Omics Conclusions in under 48 Hours 2016 ·mSystems ·Robert A. Quinn, José A. Navas-Molina, Embriette R. Hyde, Se Jin Song, Yoshiki Vázquez‐Baeza, Greg Humphrey, James Gaffney, Jeremiah J. Minich, Alexey V. Melnik, Jakob Herschend, (unknown), (unknown), Rachel J. Dutton, Mahdieh Khosroheidari, (unknown), Ricardo Silva, Pieter C. Dorrestein, Rob Knight	45
9	Open-Source Sequence Clustering Methods Improve the State Of the Art 2016 ·mSystems ·Evguenia Kopylova, José A. Navas-Molina, Céline Mercier, Zhenjiang Zech Xu, Frédéric Mahé, Yan He, (unknown), Torbjørn Rognes, J. Gregory Caporaso, Rob Knight	128
10	The Oral and Skin Microbiomes of Captive Komodo Dragons Are Significantly Shared with Their Habitat 2016 ·mSystems ·Embriette R. Hyde, José A. Navas-Molina, Se Jin Song, Jordan G. Kueneman, Gail Ackermann, César Cardona, Gregory Humphrey, (unknown), Tom Weaver, Joseph R. Mendelson, Valerie J. McKenzie, Jack A. Gilbert, Rob Knight	68
11	Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences breakdown → 2014 ·PeerJ ·Jai Ram Rideout, Yan He, José A. Navas-Molina, William A. Walters, Luke K. Ursell, Sean M. Gibbons, John Chase, Daniel McDonald, Antonio González, Adam Robbins‐Pianka, José C. Clemente, Jack A. Gilbert, Susan M. Huse, (unknown), Rob Knight, J. Gregory Caporaso	421
12	Advancing Our Understanding of the Human Microbiome Using QIIME breakdown → 2013 ·Methods in enzymology on CD-ROM/Methods in enzymology ·José A. Navas-Molina, Juan Manuel Peralta‐Sánchez, Antonio González, Paul J. McMurdie, Yoshiki Vázquez‐Baeza, Zhenjiang Zech Xu, Luke K. Ursell, Christian L. Lauber, Hongwei Zhou, Se Jin Song, James S. Huntley, Gail Ackermann, Donna Berg-Lyons, Susan Holmes, J. Gregory Caporaso, Rob Knight	441
13	Addressing memory exhaustion failures in Virtual Machines in a cloud environment 2013 ·José A. Navas-Molina, Shivakant Mishra	1

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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