Sergio E. Morales

4.6k total citations · 1 hit paper
68 papers, 3.1k citations indexed

About

Sergio E. Morales is a scholar working on Ecology, Molecular Biology and Soil Science. According to data from OpenAlex, Sergio E. Morales has authored 68 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Ecology, 32 papers in Molecular Biology and 17 papers in Soil Science. Recurrent topics in Sergio E. Morales's work include Microbial Community Ecology and Physiology (42 papers), Genomics and Phylogenetic Studies (19 papers) and Soil Carbon and Nitrogen Dynamics (17 papers). Sergio E. Morales is often cited by papers focused on Microbial Community Ecology and Physiology (42 papers), Genomics and Phylogenetic Studies (19 papers) and Soil Carbon and Nitrogen Dynamics (17 papers). Sergio E. Morales collaborates with scholars based in New Zealand, United States and Austria. Sergio E. Morales's co-authors include William E. Holben, Chris Greening, Ambarish Biswas, Gregory M. Cook, Matthew C. Taylor, Matthew B. Stott, Federico Baltar, Carlo R. Carere, Colin J. Jackson and Peter C. Fineran and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sergio E. Morales

67 papers receiving 3.1k citations

Hit Papers

Genomic and metagenomic s... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sergio E. Morales 1.6k 1.2k 625 536 434 68 3.1k
Xue Guo 1.9k 1.2× 1.0k 0.8× 348 0.6× 733 1.4× 594 1.4× 96 4.2k
Mary Ann Bruns 2.0k 1.2× 1.3k 1.1× 830 1.3× 580 1.1× 1.0k 2.4× 60 4.6k
Adrian Ho 1.3k 0.8× 1.0k 0.8× 768 1.2× 615 1.1× 343 0.8× 63 2.7k
Jinjun Kan 1.3k 0.8× 681 0.6× 428 0.7× 266 0.5× 408 0.9× 95 2.6k
Kai Feng 1.6k 1.0× 1.0k 0.8× 253 0.4× 765 1.4× 720 1.7× 80 3.5k
Shigeto Otsuka 1.8k 1.1× 617 0.5× 1.2k 1.8× 840 1.6× 945 2.2× 79 3.2k
Gavin Lear 2.2k 1.4× 1.3k 1.1× 515 0.8× 391 0.7× 1.3k 3.0× 115 4.8k
Mette M. Svenning 1.3k 0.8× 704 0.6× 863 1.4× 244 0.5× 202 0.5× 76 2.5k
Roberta R. Fulthorpe 2.0k 1.2× 1.5k 1.2× 544 0.9× 593 1.1× 1.5k 3.5× 93 4.9k
Barbara J. Campbell 2.5k 1.6× 1.5k 1.2× 815 1.3× 229 0.4× 380 0.9× 60 4.0k

Countries citing papers authored by Sergio E. Morales

Since Specialization
Citations

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

Fields of papers citing papers by Sergio E. Morales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio E. Morales. 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 Sergio E. Morales. The network helps show where Sergio E. Morales may publish in the future.

Co-authorship network of co-authors of Sergio E. Morales

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio E. Morales. A scholar is included among the top collaborators of Sergio E. Morales 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 Sergio E. Morales. Sergio E. Morales 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.
Bhople, Parag, David P. Wall, Karl G. Richards, et al.. (2025). Soil nutrient stoichiometry impacts on soil organic carbon stocks in long-term phosphorus fertilisation experiments. Geoderma. 463. 117538–117538.
2.
Duffy, Grant A., Robert O. Smith, Kim Currie, et al.. (2024). Host dispersal relaxes selective pressures in rafting microbiomes and triggers successional changes. Nature Communications. 15(1). 10759–10759. 3 indexed citations
3.
Décima, Moira, Michael R. Stukel, Scott D. Nodder, et al.. (2023). Salp blooms drive strong increases in passive carbon export in the Southern Ocean. Nature Communications. 14(1). 425–425. 32 indexed citations
4.
Lappan, Rachael, Guy Shelley, Zahra F. Islam, et al.. (2023). Molecular hydrogen in seawater supports growth of diverse marine bacteria. Nature Microbiology. 8(4). 581–595. 36 indexed citations
5.
Bakken, Lars R., et al.. (2023). Soil water extract and bacteriome determine N2O emission potential in soils. Biology and Fertility of Soils. 59(2). 217–232. 9 indexed citations
6.
Weerden, Tony J. van der, et al.. (2021). Elevating soil pH does not reduce N 2 O emissions from urine deposited onto pastoral soils. New Zealand Journal of Agricultural Research. 65(6). 484–506. 3 indexed citations
7.
Currie, Kim, Sergio E. Morales, Laura Steindler, et al.. (2021). Microbial rhodopsins are increasingly favoured over chlorophyll in High Nutrient Low Chlorophyll waters. Environmental Microbiology Reports. 13(3). 401–406. 9 indexed citations
8.
Rex, David, Md Sainur Samad, Karl G. Richards, et al.. (2021). Competition and community succession link N transformation and greenhouse gas emissions in urine patches. The Science of The Total Environment. 779. 146318–146318. 3 indexed citations
9.
Wakelin, Steven A., et al.. (2019). Resolving broad patterns of prokaryotic community structure in New Zealand pasture soils. New Zealand Journal of Agricultural Research. 64(2). 143–161. 1 indexed citations
10.
Gardner, Paul P., Xochitl C. Morgan, Jenny Draper, et al.. (2019). Identifying accurate metagenome and amplicon software via a meta-analysis of sequence to taxonomy benchmarking studies. PeerJ. 7. e6160–e6160. 26 indexed citations
11.
Wing, Stephen R., et al.. (2019). Depth and location influence prokaryotic and eukaryotic microbial community structure in New Zealand fjords. The Science of The Total Environment. 693. 133507–133507. 11 indexed citations
12.
Peura, Sari, Moritz Buck, Sanni L. Aalto, et al.. (2018). Novel Autotrophic Organisms Contribute Significantly to the Internal Carbon Cycling Potential of a Boreal Lake. mBio. 9(4). 14 indexed citations
13.
Dickie, Ian A., Stéphane Boyer, Hannah L. Buckley, et al.. (2018). Towards robust and repeatable sampling methods in eDNA‐based studies. Molecular Ecology Resources. 18(5). 940–952. 133 indexed citations
14.
Samad, Md Sainur, Karl G. Richards, Gary Lanigan, et al.. (2017). Response to nitrogen addition reveals metabolic and ecological strategies of soil bacteria. Molecular Ecology. 26(20). 5500–5514. 26 indexed citations
15.
Clough, Timothy J., Gary Lanigan, Cecile A. M. de Klein, et al.. (2017). Influence of soil moisture on codenitrification fluxes from a urea-affected pasture soil. Scientific Reports. 7(1). 2185–2185. 46 indexed citations
16.
Samad, Md Sainur, Ambarish Biswas, Lars R. Bakken, et al.. (2016). Phylogenetic and functional potential links pH and N2O emissions in pasture soils. Scientific Reports. 6(1). 35990–35990. 82 indexed citations
17.
Greening, Chris, Ambarish Biswas, Carlo R. Carere, et al.. (2015). Genomic and metagenomic surveys of hydrogenase distribution indicate H2 is a widely utilised energy source for microbial growth and survival. The ISME Journal. 10(3). 761–777. 459 indexed citations breakdown →
18.
Morales, Sergio E. & William E. Holben. (2010). Linking bacterial identities and ecosystem processes: can ‘omic’ analyses be more than the sum of their parts?. FEMS Microbiology Ecology. 75(1). 2–16. 76 indexed citations
20.
Morales, Sergio E.. (1988). El metro de Santiago.. Eure-revista Latinoamericana De Estudios Urbano Regionales. 14(42). 1 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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