Daniel C. Carvalho

2.3k total citations · 1 hit paper
58 papers, 1.6k citations indexed

About

Daniel C. Carvalho is a scholar working on Nature and Landscape Conservation, Molecular Biology and Aquatic Science. According to data from OpenAlex, Daniel C. Carvalho has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Nature and Landscape Conservation, 29 papers in Molecular Biology and 20 papers in Aquatic Science. Recurrent topics in Daniel C. Carvalho's work include Identification and Quantification in Food (27 papers), Fish biology, ecology, and behavior (25 papers) and Fish Biology and Ecology Studies (20 papers). Daniel C. Carvalho is often cited by papers focused on Identification and Quantification in Food (27 papers), Fish biology, ecology, and behavior (25 papers) and Fish Biology and Ecology Studies (20 papers). Daniel C. Carvalho collaborates with scholars based in Brazil, Australia and United States. Daniel C. Carvalho's co-authors include Naiara Guimarães Sales, D.A.A. Oliveira, Luciano B. Beheregaray, Marcela Gonçalves Drummond, Rafael Melo Palhares, Bruno S. A. F. Brasil, Stefano Mariani, Paulo dos Santos Pompeu, Tiago Casarim Pessali and Owen S. Wangensteen and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Conservation Biology.

In The Last Decade

Daniel C. Carvalho

56 papers receiving 1.6k citations

Hit Papers

Deep into the mud: ecological and socio-economic impacts ... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers

Daniel C. Carvalho
Jon J. Amberg United States
Christine M. Moffitt United States
James O. Harris Australia
William R. Ardren United States
Stéphane Boyer New Zealand
DeEtta Mills United States
Riho Gross Estonia
Daniel C. Carvalho
Citations per year, relative to Daniel C. Carvalho Daniel C. Carvalho (= 1×) peers Xiaodong Zheng

Countries citing papers authored by Daniel C. Carvalho

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Carvalho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Carvalho. 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 Daniel C. Carvalho. The network helps show where Daniel C. Carvalho may publish in the future.

Co-authorship network of co-authors of Daniel C. Carvalho

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Carvalho. A scholar is included among the top collaborators of Daniel C. Carvalho 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 Daniel C. Carvalho. Daniel C. Carvalho 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.
Brunes, Tuliana O., Luciana Barreto Nascimento, Daniel C. Carvalho, et al.. (2023). Traditional taxonomy underestimates the number of species of Bokermannohyla (Amphibia: Anura: Hylidae) diverging in the mountains of southeastern Brazil since the Miocene. Systematics and Biodiversity. 21(1). 3 indexed citations
2.
Carvalho, Daniel C., et al.. (2023). DNA metabarcoding assessment of Neotropical ichthyoplankton communities is marker‐dependent. Ecology and Evolution. 13(10). e10649–e10649. 4 indexed citations
3.
Sales, Naiara Guimarães, et al.. (2023). DNA metabarcoding of mock communities highlights potential biases when assessing Neotropical fish diversity. Environmental DNA. 5(6). 1351–1361. 10 indexed citations
4.
Moreira, Filipe Romero Rebello, et al.. (2023). Phylogenomics reconciles molecular data with the rich fossil record on the origin of living turtles. Molecular Phylogenetics and Evolution. 183. 107773–107773. 3 indexed citations
5.
7.
Melo, Bruno Francelino de, et al.. (2021). Diversification ofProchilodusin the eastern Brazilian Shield: Evidence from complete mitochondrial genomes (Teleostei, Prochilodontidae). Journal of Zoological Systematics & Evolutionary Research. 59(5). 1053–1063. 11 indexed citations
8.
Sales, Naiara Guimarães, et al.. (2020). New 12S metabarcoding primers for enhanced Neotropical freshwater fish biodiversity assessment. Scientific Reports. 10(1). 17966–17966. 26 indexed citations
9.
Sales, Naiara Guimarães, Owen S. Wangensteen, Daniel C. Carvalho, et al.. (2020). Space-time dynamics in monitoring neotropical fish communities using eDNA metabarcoding. The Science of The Total Environment. 754. 142096–142096. 102 indexed citations
10.
Sales, Naiara Guimarães, Owen S. Wangensteen, Daniel C. Carvalho, & Stefano Mariani. (2019). Influence of preservation methods, sample medium and sampling time on eDNA recovery in a neotropical river. Environmental DNA. 1(2). 58 indexed citations
11.
Melo, Rafael Magno Costa, et al.. (2019). Integrative approach detects natural hybridization of sympatric lambaris species and emergence of infertile hybrids. Scientific Reports. 9(1). 4333–4333. 11 indexed citations
12.
Sales, Naiara Guimarães, et al.. (2018). Hidden Diversity Hampers Conservation Efforts in a Highly Impacted Neotropical River System. Frontiers in Genetics. 9. 271–271. 25 indexed citations
13.
Ramírez, Jorge L., José Luís Olivan Birindelli, Daniel C. Carvalho, et al.. (2017). Revealing Hidden Diversity of the Underestimated Neotropical Ichthyofauna: DNA Barcoding in the Recently Described Genus Megaleporinus (Characiformes: Anostomidae). Frontiers in Genetics. 8. 149–149. 56 indexed citations
14.
Pessali, Tiago Casarim, et al.. (2016). Integrative taxonomy supports new candidate fish species in a poorly studied neotropical region: the Jequitinhonha River Basin. Genetica. 144(3). 341–349. 35 indexed citations
15.
Carvalho, Daniel C., et al.. (2013). Quantum spin-1 anisotropic ferromagnetic Heisenberg model in a crystal field: A variational approach. Physical Review E. 88(3). 32111–32111. 9 indexed citations
16.
Carvalho, Daniel C., et al.. (2011). A variational approach for the classical anisotropic Heisenberg model in a crystal field. Physica A Statistical Mechanics and its Applications. 391(4). 1149–1157. 3 indexed citations
17.
Prosdocimi, Francisco, et al.. (2011). The complete mitochondrial genome of two recently derived species of the fish genus Nannoperca (Perciformes, Percichthyidae). Molecular Biology Reports. 39(3). 2767–2772. 51 indexed citations
18.
Carvalho, Daniel C., et al.. (2011). DNA barcoding unveils a high rate of mislabeling in a commercial freshwater catfish from Brazil. Mitochondrial DNA. 22(sup1). 97–105. 84 indexed citations
19.
Carvalho, Daniel C., D.A.A. Oliveira, Iracilda Sampaio, & Luciano B. Beheregaray. (2009). Microsatellite markers for the Amazon peacock bass (Cichla piquiti). Molecular Ecology Resources. 9(1). 239–241. 6 indexed citations
20.
Cardoso, Fernanda C., Lucila Grossi Gonçalves Pacífico, Daniel C. Carvalho, et al.. (2003). Molecular cloning and characterization of Phoneutria nigriventer toxins active on calcium channels. Toxicon. 41(7). 755–763. 26 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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