| Soil extracellular enzyme activities, soil carbon and nitrogen storage under nitrogen fertilization: A meta-analysis S Jian, J Li, J Chen, G Wang, MA Mayes, KE Dzantor, D Hui, Y Luo Soil Biology and Biochemistry 101, 32-43, 2016 | 683 | 2016 |
| Quantification of effects of climate variations and human activities on runoff by a monthly water balance model: A case study of the Chaobai River basin in northern China G Wang, J Xia, J Chen Water Resources Research 45 (7), W00A11, 2009 | 354 | 2009 |
| Development of microbial-enzyme-mediated decomposition model parameters through steady-state and dynamic analyses G Wang, WM Post, MA Mayes Ecological Applications 23 (1), 255-272, 2013 | 251 | 2013 |
| Multiple models and experiments underscore large uncertainty in soil carbon dynamics BN Sulman, JAM Moore, R Abramoff, C Averill, S Kivlin, K Georgiou, ... Biogeochemistry 141 (2), 109-123, 2018 | 237 | 2018 |
| Microbial dormancy improves development and experimental validation of ecosystem model G Wang, S Jagadamma, MA Mayes, CW Schadt, JM Steinweg, L Gu, ... The ISME Journal 9, 226-237, 2015 | 154 | 2015 |
| Development of distributed time-variant gain model for nonlinear hydrological systems J Xia, G Wang, G Tan, A Ye, GH Huang Science in China Series D: Earth Sciences 48 (6), 713-723, 2005 | 149* | 2005 |
| Soil carbon sensitivity to temperature and carbon use efficiency compared across microbial-ecosystem models of varying complexity J Li, G Wang, SD Allison, MA Mayes, Y Luo Biogeochemistry 119, 67-84, 2014 | 132 | 2014 |
| A research on distributed time variant gain modeling J Xia, G Wang, A Lv, G Tan Acta Geographica Sinica 58 (5), 789-796, 2003 | 123* | 2003 |
| Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming X Guo, Q Gao, M Yuan, G Wang, X Zhou, J Feng, Z Shi, L Hale, L Wu, ... Nature Communications 11, 4897, 2020 | 114 | 2020 |
| Parameter estimation for models of ligninolytic and cellulolytic enzyme kinetics G Wang, WM Post, MA Mayes, JT Frerichs, J Sindhu Soil Biology and Biochemistry 48, 28-38, 2012 | 107 | 2012 |
| Reduced carbon use efficiency and increased microbial turnover with soil warming J Li, G Wang, MA Mayes, SD Allison, SD Frey, Z Shi, XM Hu, Y Luo, ... Global Change Biology 25 (3), 900-910, 2019 | 105 | 2019 |
| Representation of Dormant and Active Microbial Dynamics for Ecosystem Modeling G Wang, MA Mayes, L Gu, CW Schadt PloS one 9 (2), e89252, 2014 | 94 | 2014 |
| Drainage network extraction and subcatchment delineation based on digital elevation model A Ye, J Xia, G Wang Journal of Hydraulic Engineering 36 (5), 531-537, 2005 | 91* | 2005 |
| Kinetic parameters of phosphatase: A quantitative synthesis D Hui, MA Mayes, G Wang Soil Biology and Biochemistry, 2013 | 89 | 2013 |
| A theoretical reassessment of microbial maintenance and implications for microbial ecology modeling G Wang, WM Post FEMS Microbiology Ecology 81, 610-617, 2012 | 88 | 2012 |
| Interactions among roots, mycorrhizas and free‐living microbial communities differentially impact soil carbon processes JAM Moore, J Jiang, CM Patterson, MA Mayes, G Wang, AT Classen Journal of Ecology 103 (6), 1442-1453, 2015 | 86 | 2015 |
| River algal blooms are well predicted by antecedent environmental conditions R Xia, G Wang, Y Zhang, P Yang, Z Yang, S Ding, X Jia, C Yang, C Liu, ... Water Research 185, 116221, 2020 | 85 | 2020 |
| A review on parameterization and uncertainty in modeling greenhouse gas emissions from soil G Wang, S Chen Geoderma 170, 206-216, 2012 | 69 | 2012 |
| Modeling Global Soil Carbon and Soil Microbial Carbon by Integrating Microbial Processes into the Ecosystem Process Model TRIPLEX‐GHG K Wang, C Peng, Q Zhu, X Zhou, M Wang, K Zhang, G Wang Journal of Advances in Modeling Earth Systems 9 (6), 2368-2384, 2017 | 67 | 2017 |
| Soil enzymes as indicators of soil function: A step toward greater realism in microbial ecological modeling G Wang, Q Gao, Y Yang, SE Hobbie, PB Reich, J Zhou Global Change Biology 28 (5), 1935-1950, 2022 | 66 | 2022 |
Melanie A. MayesOak Ridge National Laboratoryornl.gov üzerinde doğrulanmış e-posta adresine sahip