Nathan S. Garcia

1.3k total citations
27 papers, 918 citations indexed

About

Nathan S. Garcia is a scholar working on Oceanography, Ecology and Environmental Chemistry. According to data from OpenAlex, Nathan S. Garcia has authored 27 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oceanography, 20 papers in Ecology and 7 papers in Environmental Chemistry. Recurrent topics in Nathan S. Garcia's work include Marine and coastal ecosystems (20 papers), Microbial Community Ecology and Physiology (19 papers) and Marine Biology and Ecology Research (10 papers). Nathan S. Garcia is often cited by papers focused on Marine and coastal ecosystems (20 papers), Microbial Community Ecology and Physiology (19 papers) and Marine Biology and Ecology Research (10 papers). Nathan S. Garcia collaborates with scholars based in United States, Bermuda and United Kingdom. Nathan S. Garcia's co-authors include Adam C. Martiny, David A. Hutchins, Fei‐Xue Fu, Peter N. Sedwick, Catherine A. Garcia, Michael W. Lomas, Alyse A. Larkin, Juan A. Bonachela, Peter Bernhardt and Margaret R. Mulholland and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

Nathan S. Garcia

26 papers receiving 903 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan S. Garcia United States 18 705 515 177 152 85 27 918
Gry Mine Berg United States 15 699 1.0× 448 0.9× 199 1.1× 185 1.2× 125 1.5× 19 919
Nathan G. Walworth United States 17 500 0.7× 509 1.0× 240 1.4× 155 1.0× 77 0.9× 29 803
Troy Gunderson United States 12 557 0.8× 654 1.3× 181 1.0× 105 0.7× 99 1.2× 12 957
Andreas Krupke Germany 11 474 0.7× 643 1.2× 304 1.7× 198 1.3× 78 0.9× 12 924
M. Lasbleiz France 8 533 0.8× 381 0.7× 104 0.6× 109 0.7× 78 0.9× 9 788
Eleonora Scalco Italy 10 444 0.6× 427 0.8× 320 1.8× 249 1.6× 39 0.5× 15 873
Joana Barcelos e Ramos Portugal 12 548 0.8× 278 0.5× 107 0.6× 89 0.6× 122 1.4× 20 727
John R. Casey United States 13 601 0.9× 526 1.0× 148 0.8× 106 0.7× 100 1.2× 22 793
Gro Anita Fonnes Flaten Norway 7 537 0.8× 448 0.9× 104 0.6× 154 1.0× 100 1.2× 7 707
El Mahdi Bendif United Kingdom 17 823 1.2× 603 1.2× 379 2.1× 149 1.0× 165 1.9× 24 1.3k

Countries citing papers authored by Nathan S. Garcia

Since Specialization
Citations

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

Fields of papers citing papers by Nathan S. Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan S. Garcia. 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 Nathan S. Garcia. The network helps show where Nathan S. Garcia may publish in the future.

Co-authorship network of co-authors of Nathan S. Garcia

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan S. Garcia. A scholar is included among the top collaborators of Nathan S. Garcia 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 Nathan S. Garcia. Nathan S. Garcia 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.
Garcia, Nathan S., Mingyu Du, Michele Guindani, et al.. (2024). Proteome trait regulation of marine Synechococcus elemental stoichiometry under global change. The ISME Journal. 18(1). 1 indexed citations
2.
Garcia, Nathan S., et al.. (2024). Intraspecific trait variation modulates the temperature effect on elemental quotas and stoichiometry in marine Synechococcus. PLoS ONE. 19(3). e0292337–e0292337. 2 indexed citations
3.
Tanioka, Tatsuro, et al.. (2024). Elemental stoichiometry of particulate organic matter across the Atlantic Ocean. Biogeosciences. 21(19). 4239–4250.
4.
Garcia, Nathan S., David Talmy, Weiwei Fu, et al.. (2022). The Diel Cycle of Surface Ocean Elemental Stoichiometry has Implications for Ocean Productivity. Global Biogeochemical Cycles. 36(3). 7 indexed citations
5.
Tanioka, Tatsuro, et al.. (2022). Global patterns and predictors of C:N:P in marine ecosystems. Communications Earth & Environment. 3(1). 40 indexed citations
6.
Tanioka, Tatsuro, Alyse A. Larkin, Allison R. Moreno, et al.. (2022). Global Ocean Particulate Organic Phosphorus, Carbon, Oxygen for Respiration, and Nitrogen (GO-POPCORN). Scientific Data. 9(1). 688–688. 8 indexed citations
7.
Larkin, Alyse A., George I. Hagstrom, Melissa L. Brock, Nathan S. Garcia, & Adam C. Martiny. (2022). Basin-scale biogeography of Prochlorococcus and SAR11 ecotype replication. The ISME Journal. 17(2). 185–194. 10 indexed citations
8.
Larkin, Alyse A., Catherine A. Garcia, Nathan S. Garcia, et al.. (2021). High spatial resolution global ocean metagenomes from Bio-GO-SHIP repeat hydrography transects. Scientific Data. 8(1). 107–107. 24 indexed citations
9.
Larkin, Alyse A., Catherine A. Garcia, Nathan S. Garcia, et al.. (2021). Metagenomic analysis reveals global-scale patterns of ocean nutrient limitation. Science. 372(6539). 287–291. 96 indexed citations
10.
Baer, Steven E., Sara Rauschenberg, Catherine A. Garcia, et al.. (2018). Carbon and nitrogen productivity during spring in the oligotrophic Indian Ocean along the GO-SHIP IO9N transect. Deep Sea Research Part II Topical Studies in Oceanography. 161. 81–91. 34 indexed citations
11.
12.
Garcia, Catherine A., Steven E. Baer, Nathan S. Garcia, et al.. (2018). Nutrient supply controls particulate elemental concentrations and ratios in the low latitude eastern Indian Ocean. Nature Communications. 9(1). 4868–4868. 60 indexed citations
13.
Garcia, Nathan S., et al.. (2017). Draft Genome Sequences of Three Bacterial Isolates from Cultures of the Marine Diatom Thalassiosira rotula. Genome Announcements. 5(18). 7 indexed citations
14.
15.
Sundararajan, Anitha, Stefanie Dukowic‐Schulze, Madeline Kwicklis, et al.. (2016). Gene Evolutionary Trajectories and GC Patterns Driven by Recombination in Zea mays. Frontiers in Plant Science. 7. 1433–1433. 16 indexed citations
16.
Garcia, Nathan S., Juan A. Bonachela, & Adam C. Martiny. (2016). Interactions between growth-dependent changes in cell size, nutrient supply and cellular elemental stoichiometry of marine Synechococcus. The ISME Journal. 10(11). 2715–2724. 70 indexed citations
17.
Garcia, Nathan S., et al.. (2016). Diel variability in the elemental composition of the marine cyanobacteriumSynechococcus. Journal of Plankton Research. 38(4). 1052–1061. 32 indexed citations
18.
Garcia, Nathan S. & David A. Hutchins. (2014). Light-Limited Growth Rate Modulates Nitrate Inhibition of Dinitrogen Fixation in the Marine Unicellular Cyanobacterium Crocosphaera watsonii. PLoS ONE. 9(12). e114465–e114465. 8 indexed citations
19.
Garcia, Nathan S., Fei‐Xue Fu, Peter N. Sedwick, & David A. Hutchins. (2014). Iron deficiency increases growth and nitrogen-fixation rates of phosphorus-deficient marine cyanobacteria. The ISME Journal. 9(1). 238–245. 61 indexed citations
20.
Garcia, Nathan S., Fei‐Xue Fu, Peter Bernhardt, et al.. (2011). INTERACTIVE EFFECTS OF IRRADIANCE AND CO2 ON CO2 FIXATION AND N2 FIXATION IN THE DIAZOTROPH TRICHODESMIUM ERYTHRAEUM (CYANOBACTERIA)1. Journal of Phycology. 47(6). 1292–1303. 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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