Graciela Tejada

1.6k total citations · 1 hit paper
18 papers, 865 citations indexed

About

Graciela Tejada is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation. According to data from OpenAlex, Graciela Tejada has authored 18 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 5 papers in Atmospheric Science and 2 papers in Nature and Landscape Conservation. Recurrent topics in Graciela Tejada's work include Conservation, Biodiversity, and Resource Management (7 papers), Atmospheric and Environmental Gas Dynamics (6 papers) and Land Use and Ecosystem Services (5 papers). Graciela Tejada is often cited by papers focused on Conservation, Biodiversity, and Resource Management (7 papers), Atmospheric and Environmental Gas Dynamics (6 papers) and Land Use and Ecosystem Services (5 papers). Graciela Tejada collaborates with scholars based in Brazil, United Kingdom and United States. Graciela Tejada's co-authors include Luciana V. Gatti, Celso von Randow, Henrique Cassol, Luana S. Basso, Luiz E. O. C. Aragão, Liana O. Anderson, Manuel Gloor, J. B. Miller, Lucas G. Domingues and Caio Correia and has published in prestigious journals such as Nature, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Graciela Tejada

16 papers receiving 840 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.

Amazonia as a carbon source linked to deforestation and climate change

2021 539 citations Luciana V. Gatti, Luana S. Basso et al. Nature profile →

Peers

Graciela Tejada

GPC

ECOLO

NLC

Yao Ying China

Karen L. Vandecar United States

Henrique Cassol Brazil

David A. Gibbs United States

Luciano Marani Brazil

Cholho Song South Korea

Kylen Solvik United States

Paul Scholefield United Kingdom

Lucia Perugini Italy

Wei Hong China

Yao Ying China

Graciela Tejada

646 ×1.2

GPC

186 ×1.0

ECOLO

84 ×0.7

NLC

160 ×1.5

154 ×1.5

Citations per year, relative to Graciela Tejada Graciela Tejada (= 1×) peers Yao Ying

Countries citing papers authored by Graciela Tejada

Since Specialization

Citations

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

Fields of papers citing papers by Graciela Tejada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graciela Tejada

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

All Works

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18 of 18 papers shown

Gatti, Luciana V., et al.. (2025). Assessing the effectiveness of convective boundary layer height estimation using flight data and ERA5 profiles in the Amazon biome. Climate Dynamics. 63(2). 1 indexed citations

Staal, Arie, Gerbrand Koren, Graciela Tejada, & Luciana V. Gatti. (2023). Moisture origins of the Amazon carbon source region. Environmental Research Letters. 18(4). 44027–44027. 17 indexed citations

Tejada, Graciela, Luciana V. Gatti, Luana S. Basso, et al.. (2023). CO2 emissions in the Amazon: are bottom-up estimates from land use and cover datasets consistent with top-down estimates based on atmospheric measurements?. Frontiers in Forests and Global Change. 6. 6 indexed citations

Basso, Luana S., Chris Wilson, Martyn P. Chipperfield, et al.. (2023). Atmospheric CO ₂ inversion reveals the Amazon as a minor carbon source caused by fire emissions, with forest uptake offsetting about half of these emissions. Atmospheric chemistry and physics. 23(17). 9685–9723. 8 indexed citations

Wiltshire, A., et al.. (2022). Understanding the role of land‐use emissions in achieving the Brazilian Nationally Determined Contribution to mitigate climate change. 1(1). 12 indexed citations

Randow, Celso von, et al.. (2022). New land-use change scenarios for Brazil: Refining global SSPs with a regional spatially-explicit allocation model. PLoS ONE. 17(4). e0256052–e0256052. 8 indexed citations

Gatti, Luciana V., Luana S. Basso, J. B. Miller, et al.. (2021). Amazonia as a carbon source linked to deforestation and climate change. Nature. 595(7867). 388–393. 539 indexed citations breakdown →

Basso, Luana S., Luciano Marani, Luciana V. Gatti, et al.. (2021). Amazon methane budget derived from multi-year airborne observations highlights regional variations in emissions. Communications Earth & Environment. 2(1). 30 indexed citations

Mataveli, Guilherme, Gabriel de Oliveira, Hugo Tameirão Seixas, et al.. (2021). Relationship between Biomass Burning Emissions and Deforestation in Amazonia over the Last Two Decades. Forests. 12(9). 1217–1217. 20 indexed citations

10.

Gloor, Manuel, Graciela Tejada, Carlos A. Nobre, et al.. (2021). Decrease in Amazonia carbon uptake linked to trends in deforestation and climate..

11.

Cassol, Henrique, Lucas G. Domingues, Alber Sánchez, et al.. (2020). Determination of Region of Influence Obtained by Aircraft Vertical Profiles Using the Density of Trajectories from the HYSPLIT Model. Atmosphere. 11(10). 1073–1073. 11 indexed citations

12.

Reis, Carla Roberta Gonçalves, F. Pacheco, Sasha C. Reed, et al.. (2020). Biological nitrogen fixation across major biomes in Latin America: Patterns and global change effects. The Science of The Total Environment. 746. 140998–140998. 29 indexed citations

13.

Tejada, Graciela, et al.. (2020). Mapping data gaps to estimate biomass across Brazilian Amazon forests. Forest Ecosystems. 7(1). 10 indexed citations

14.

Gatti, Luciana V., J. B. Miller, Luana S. Basso, et al.. (2019). Amazon carbon balance and its sensitivity to climate and human-driven changes. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 2019.

15.

Tejada, Graciela, et al.. (2019). Evaluating spatial coverage of data on the aboveground biomass in undisturbed forests in the Brazilian Amazon. Carbon Balance and Management. 14(1). 11–11. 16 indexed citations

16.

Guimberteau, Matthieu, Philippe Ciais, Agnès Ducharne, et al.. (2017). Impacts of future deforestation and climate change on the hydrology of the Amazon Basin: a multi-model analysis with a new set of land-cover change scenarios. Hydrology and earth system sciences. 21(3). 1455–1475. 76 indexed citations

17.

Tejada, Graciela, et al.. (2015). Deforestation scenarios for the Bolivian lowlands. Environmental Research. 144(Pt B). 49–63. 37 indexed citations

18.

Ometto, Jean Pierre, et al.. (2014). Amazon forest biomass density maps: tackling the uncertainty in carbon emission estimates. Climatic Change. 124(3). 545–560. 45 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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