PeerJ Sections

PeerJ, the journal, is now divided into separate Sections by field.

Section Editors have oversight of their section to ensure the journal maintains a fair peer review process and the highest standards of scientific practice in their fields.

Within each Section, the Academic Editors regularly identify and highlight the most important new PeerJ publications in their field. Learn more & Meet the Section Editors.

3 March 2021
An integrative approach to infer systematic relationships and define species groups in the shrub frog genus Raorchestes, with description of five new species from the Western Ghats, India
Sonali Garg, Robin Suyesh, Sandeep Das, Mark A. Bee, S. D. Biju
Patricia Gandini –– An important contribution to the Indian herpetofauna knowledge
3 March 2021
Publication rate and citation counts for preprints released during the COVID-19 pandemic: the good, the bad and the ugly
Diego Añazco, Bryan Nicolalde, Isabel Espinosa, Jose Camacho, Mariam Mushtaq, Jimena Gimenez, Enrique Teran
Andrew Gray –– This is an interesting and thoughtful look at how the deluge of COVID-19-related preprints have fared in terms of citations and transitioning to traditional publications, providing a template for further research into preprints in a wide range of research topics.
3 March 2021
Influence of plastic film mulch with biochar application on crop yield, evapotranspiration, and water use efficiency in northern China: A meta-analysis
Erastus Mak-Mensah, Peter Bilson Obour, Eunice Essel, Qi Wang, John K. Ahiakpa
Muhammad Riaz –– An informative and carefully developed meta-analysis on plastic mulching in China.
3 March 2021
Influence of water availability and temperature on estimates of microbial extracellular enzyme activity
Enrique J. Gomez, Jose A. Delgado, Juan M. Gonzalez
Marcelino Suzuki –– This manuscript describes a methodological approach that might allow more realistic measures of enzymatic activity in soils, with potential to better understanding carbon cycling in these environments.
2 March 2021
Examining long-term natural vegetation dynamics in the Aral Sea Basin applying the linear spectral mixture model
Yiting Su, Dongchuan Wang, Shuang Zhao, Jiancong Shi, Yanqing Shi, Dongying Wei
Jianjun Zhang –– This paper introduces the Linear Spectral Mixture Model to examine long-term natural vegetation dynamics.

Discover your field's Section

At the moment, medical subjects are not categorized into sections. See subject pages instead.

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